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  <front>
    <journal-meta><journal-id journal-id-type="publisher">TC</journal-id><journal-title-group>
    <journal-title>The Cryosphere</journal-title>
    <abbrev-journal-title abbrev-type="publisher">TC</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">The Cryosphere</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1994-0424</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/tc-19-3897-2025</article-id><title-group><article-title>Seasonal and interannual variability in freshwater sources for Greenland's fjords</article-title><alt-title>Variability in freshwater sources for Greenland fjords</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Vries</surname><given-names>Anneke L.</given-names></name>
          <email>anneke.vries@nioz.nl</email>
        <ext-link>https://orcid.org/0000-0001-9970-1189</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>van de Berg</surname><given-names>Willem Jan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8232-2040</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Noël</surname><given-names>Brice</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7159-5369</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff4">
          <name><surname>Meire</surname><given-names>Lorenz</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7516-071X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>van den Broeke</surname><given-names>Michiel R.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4662-7565</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Department of Estuarine and Delta Systems, NIOZ Royal Netherlands Institute of Sea Research, Yerseke, the Netherlands</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Laboratory of Climatology, Department of Geography, SPHERES research unit, University of Liège, Liège, Belgium</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Greenland Climate Research Centre (GCRC), Greenland Institute of Natural Resources, Nuuk, Greenland</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Anneke L. Vries (anneke.vries@nioz.nl)</corresp></author-notes><pub-date><day>16</day><month>September</month><year>2025</year></pub-date>
      
      <volume>19</volume>
      <issue>9</issue>
      <fpage>3897</fpage><lpage>3914</lpage>
      <history>
        <date date-type="received"><day>29</day><month>November</month><year>2024</year></date>
           <date date-type="rev-request"><day>16</day><month>January</month><year>2025</year></date>
           <date date-type="rev-recd"><day>12</day><month>June</month><year>2025</year></date>
           <date date-type="accepted"><day>23</day><month>June</month><year>2025</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2025 Anneke L. Vries et al.</copyright-statement>
        <copyright-year>2025</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025.html">This article is available from https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025.html</self-uri><self-uri xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025.pdf">The full text article is available as a PDF file from https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e137">The magnitude, source, release location, and timing of freshwater that ends up in the numerous Greenland fjords is of special interest for ice–ocean interactions and ecosystems. In this study, we investigate intra- and interannual variability in the various freshwater sources for Greenland's fjords in seven climatologically distinct regions. For this, we use direct and statistically downscaled output from regional climate models for the mass fluxes, process-based estimates of basal melt, and observational data for solid ice discharge. For the period 1940/1958 through 2023, we separately quantify runoff from the Greenland ice sheet, peripheral ice caps and tundra regions, and precipitation directly falling in the fjords. From 2009 onwards, the available data allow us to resolve the full seasonal cycle of freshwater input. The results indicate a diverse range of relative contributions from freshwater sources between seasons and regions. Freshwater input in fjords in the wet South-East and North-West is dominated by solid ice discharge (55 % and 67 %, respectively) with a small contribution of tundra runoff, whereas in the relatively drier North, North-East, and South-West the contribution of tundra runoff is more important (20 %, 25 %, and 30 %, respectively). Precipitation in fjords and tundra runoff can represent a large fraction of the monthly total, i.e. up to 11 % and 35 %, respectively, for winter and spring. However, the relative contribution of tundra runoff has been decreasing with time as the result of rapid increases in ice sheet and ice cap runoff over the past decades following atmospheric and oceanic warming. We show that the regional glacier-integrated melt-over-accumulation (MoA) ratio is a good predictor for the relative contributions of solid ice discharge, tundra runoff, and ice sheet runoff. These findings have implications for the use of freshwater fluxes forcing in regional ocean models and fjord studies and enhance our understanding of their impact on ocean and fjord circulation and biogeochemistry.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e149">Greenland fjords constitute the hydrological connection between the Greenland ice sheet and the surrounding ocean. Of special interest for ice–ocean interactions and ecosystems are the source, magnitude, release location, and timing of freshwater that ends up in the numerous Greenland fjords. The source of freshwater input influences both the timing and location of its entry into the fjords. For instance, tundra runoff typically enters the fjord near the surface and peaks in spring when the seasonal snowpack melts, whereas in glacial fjords runoff can both enter fjords at the surface and/or subglacially, with a pronounced peak in summer <xref ref-type="bibr" rid="bib1.bibx51" id="paren.1"/>. These differences in the magnitude and timing of freshwater input result in different fjord circulation regimes <xref ref-type="bibr" rid="bib1.bibx43" id="paren.2"/>, altering primary productivity, CO<sub>2</sub> uptake, cloud formation, and ecosystems in fjords with marine-terminating glaciers compared to those without <xref ref-type="bibr" rid="bib1.bibx39 bib1.bibx55 bib1.bibx40 bib1.bibx64" id="paren.3"/>. Depending on the origin of the freshwater source, the concentration of nutrients and organic carbon can vary substantially <xref ref-type="bibr" rid="bib1.bibx17" id="paren.4"/>.</p>
      <p id="d2e173">Recent and future increases in freshwater discharge from the contiguous Greenland ice sheet (GrIS) and smaller glaciers and ice caps (GICs) <xref ref-type="bibr" rid="bib1.bibx59 bib1.bibx60 bib1.bibx36 bib1.bibx27" id="paren.5"/> have the potential to significantly affect regional and large-scale ocean circulation; however specific timing, geographic location, and release depth are often not considered in global climate models <xref ref-type="bibr" rid="bib1.bibx66 bib1.bibx6 bib1.bibx38" id="paren.6"/>. To date, no global models and only a few regional models have had a sufficient spatial resolution to resolve Greenland's fjords <xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx16 bib1.bibx10 bib1.bibx11" id="paren.7"/>. Most of these models assume that (i) freshwater enters the fjords and the ocean at near-surface levels, (ii) freshwater input is constant throughout the year, or (iii) freshwater storage in fjords is negligible <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx7 bib1.bibx20 bib1.bibx38" id="paren.8"/>. Often, these assumptions are inaccurate. It has been shown that in fjords in western Greenland, freshwater storage delays its export to the continental shelf by a single to several months, depending on the fjord geometry and season and the presence of land- or marine-terminating glaciers <xref ref-type="bibr" rid="bib1.bibx13 bib1.bibx55 bib1.bibx51" id="paren.9"/>. In glacial fjords, a positive feedback exists between the strength of the fjord circulation and glacial melt <xref ref-type="bibr" rid="bib1.bibx68" id="paren.10"/>, which implies that the magnitude and timing of freshwater input co-determines the total freshwater export onto the continental shelf.</p>
      <p id="d2e195">To improve understanding and support modelling efforts, freshwater fluxes into Greenland fjords have been quantified through observations and models for Greenland as a whole and locally for individual fjords. Although useful for budget studies, Greenland total freshwater flux provides a limited perspective, as freshwater that leaves the fjord is transported in boundary currents along Greenland and might end up in a deep-convection region far from where it was released <xref ref-type="bibr" rid="bib1.bibx12 bib1.bibx8" id="paren.11"/>. The different freshwater sources have different mixing depths, which further affects their pathways; e.g. one model study assumed freshwater to be distributed over the upper 77 m on the shelf, which in the case of dominating solid ice discharge may be too shallow and for tundra and GIC runoff too deep <xref ref-type="bibr" rid="bib1.bibx12" id="paren.12"/>. Therefore, models aiming to accurately simulate freshwater pathways should consider the type of freshwater input. To this end, recent spatially resolved studies estimate freshwater fluxes from marine-terminating glaciers or stream outlets <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx54 bib1.bibx26" id="paren.13"/>. These studies excluded the magnitude of terrestrial (tundra) runoff, which is perhaps the least known freshwater source <xref ref-type="bibr" rid="bib1.bibx37" id="paren.14"/>. <xref ref-type="bibr" rid="bib1.bibx2" id="text.15"/> estimated total Greenland tundra runoff at approximately  80 Gt yr<sup>−1</sup>  (1958–2016), while <xref ref-type="bibr" rid="bib1.bibx19" id="text.16"/> found a higher number of 140–160 Gt yr<sup>−1</sup>. Some studies attempt to estimate freshwater fluxes into a limited number of individual fjords, studying freshwater retention, salt and heat budgets, and the impact of increased runoff on primary production <xref ref-type="bibr" rid="bib1.bibx21 bib1.bibx47 bib1.bibx51" id="paren.17"/>.</p>
      <p id="d2e244">This study aims to improve and interpret Greenland-wide and regional estimates of  freshwater sources for Greenland's fjords. To assess their relative importance, we combine high-spatial- and high-temporal-resolution model data of precipitation, GrIS and GIC surface runoff, and basal melt with observational estimates of solid ice discharge. In addition, we quantify tundra runoff originating from rain and seasonal snowmelt. This enables us to assess on a regional scale how the distribution between freshwater sources changes throughout the year and how and why the magnitude and (seasonal) freshwater input into Greenland fjords have fluctuated over the past decades.</p>
      <p id="d2e248">After introducing the methods and data sources in Sect. <xref ref-type="sec" rid="Ch1.S2"/>, we discuss the yearly sums and seasonal cycles of different freshwater sources in Sect. <xref ref-type="sec" rid="Ch1.S3"/> and finish with a comparison to various other datasets and climatological interpretation in Sect. <xref ref-type="sec" rid="Ch1.S4"/> and a summary in Sect. <xref ref-type="sec" rid="Ch1.S5"/>.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Data sources</title>
      <p id="d2e274">To estimate sources of freshwater input into Greenland fjords, we combine different models and observational products (Table <xref ref-type="table" rid="T1"/>). As a default for runoff,  melt, sublimation, and precipitation, we used output from the polar regional atmospheric climate model RACMO2.3p2 <xref ref-type="bibr" rid="bib1.bibx46" id="paren.18"/> (henceforth RACMO). The used run was forced at 3-hourly intervals (6-hourly before 1990) by the fifth-generation reanalysis (ERA5) of the European Centre for Medium-Range Weather Forecasts (ECMWF) and starts in 1958. Over Greenland, RACMO runs at a native spatial resolution of <inline-formula><mml:math id="M4" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5.5 <inline-formula><mml:math id="M5" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 5.5 km<sup>2</sup> <xref ref-type="bibr" rid="bib1.bibx46" id="paren.19"/>. The output of this simulation is further statistically downscaled to a 1 <inline-formula><mml:math id="M7" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km<sup>2</sup> polar stereographic grid <xref ref-type="bibr" rid="bib1.bibx45 bib1.bibx46" id="paren.20"/>. For comparison with RACMO precipitation, the Copernicus Arctic Regional Reanalysis (CARRA-West) (henceforth CARRA) is used, which has a 2.5 <inline-formula><mml:math id="M9" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 2.5 km<sup>2</sup> resolution and uses the HARMONIE-AROME model, cycle Cy40h1 <xref ref-type="bibr" rid="bib1.bibx52 bib1.bibx3" id="paren.21"/>. CARRA-West runoff is unrealistically small over land and ice (i.e. <inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> % of the RACMO estimate) and is not used here.</p>
      <p id="d2e358">For comparison with RACMO runoff, we use outputs from the Modèle Atmosphérique Régional (MAR) version 14 forced at 6-hourly intervals by ERA5 since 1940. MAR runs at 5 <inline-formula><mml:math id="M12" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 5 km<sup>2</sup> spatial resolution and is statistically downscaled to the same 1 <inline-formula><mml:math id="M14" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km<sup>2</sup> grid as RACMO <xref ref-type="bibr" rid="bib1.bibx9" id="paren.22"/>.</p>
      <p id="d2e396">Basal melt on a 1 <inline-formula><mml:math id="M16" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km<sup>2</sup> grid is taken from <xref ref-type="bibr" rid="bib1.bibx25" id="text.23"/>, who used a composite of estimates for basal melt from geothermal heat, friction, and heat from surface meltwater, with the latter contributing to seasonal variability. Monthly values represent 1991–2023 averages. Basal melt has a total uncertainty of 21 %.</p>
      <p id="d2e418">The freshwater components presented here and discussed in detail in the following subsections are GrIS runoff, GIC runoff, tundra runoff, basal melt, GrIS solid ice discharge (which represents the flux of solid ice across the grounding line, i.e. combining calving and submarine melt), and direct precipitation spatially integrated over the fjord surfaces. These components are presented as yearly sums since 1940/1958 and monthly sums since 1990 and are aggregated regionally (see below for region definitions) unless specified otherwise. The differences between the default products (boldface in Table <xref ref-type="table" rid="T1"/>) and other products are typically small. That is why the default values are being reported in the figures and main text, and the differences with other products are discussed in Sect. <xref ref-type="sec" rid="Ch1.S4.SS5"/>.</p>
<sec id="Ch1.S2.SS1.SSS1">
  <label>2.1.1</label><title>Runoff</title>
      <p id="d2e433">RACMO (1958–2023) provides the default products for GrIS and GIC runoff, while MAR runoff outputs (1940–2023) are used for comparison. Both have been statistically downscaled to 1 <inline-formula><mml:math id="M18" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km<sup>2</sup> for the given period. The uncertainty in previous downscaled RACMO runoff products was estimated to be 20 % for GrIS and 40 % for GICs <xref ref-type="bibr" rid="bib1.bibx46" id="paren.24"/>. Whereas runoff from the GICs and GrIS can be easily statistically downscaled because of the strong elevation dependency of melt and hence runoff, as described by <xref ref-type="bibr" rid="bib1.bibx46" id="text.25"/>, this is more challenging for the tundra and therefore not done yet. Tundra has much lower runoff values (from seasonal snowmelt) than ice-covered regions (i.e. from ice and snowmelt); therefore statistical downscaling based on elevation gradients must be applied separately. This has not been done yet, and therefore a 1 km runoff grid was obtained by nearest-neighbour interpolation of the original 5.5 km resolution data. The tundra runoff uncertainty is estimated to be 10 %  following <xref ref-type="bibr" rid="bib1.bibx2" id="text.26"/>. We do not apply a routing delay; i.e. all runoff is assumed to enter the fjords immediately, with the exception of ponding that is allowed at the ice surface in MAR, based on <xref ref-type="bibr" rid="bib1.bibx69" id="text.27"/>. Lakes are not represented in these versions of RACMO and MAR.</p>
</sec>
<sec id="Ch1.S2.SS1.SSS2">
  <label>2.1.2</label><title>Precipitation</title>
      <p id="d2e473">Precipitation into fjords is taken from two data sources. The default is the native RACMO precipitation (rain and snow) product (1958–2023), linearly interpolated onto a 1 <inline-formula><mml:math id="M20" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km<sup>2</sup> grid <xref ref-type="bibr" rid="bib1.bibx18" id="paren.28"/>, and the second source used for comparison is CARRA. We assumed both snow and rain directly contribute to the freshwater input to the fjords; i.e. we neglected the precipitation phase and the possible storage effect of mass accumulation on top of sea ice. When using the CARRA data, the difference between the 30 and 6 h accumulated precipitation fields resulted in the daily precipitation, accounting for spin-up issues of the water cycle as recommended by the developers. The CARRA time span is 1991–2023, and we reproject the monthly and yearly sums on a 1 <inline-formula><mml:math id="M22" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km<sup>2</sup> grid using nearest-neighbour interpolation. The uncertainty for the precipitation products is not given, and therefore it is assumed to be represented by the difference between RACMO and CARRA (15 %). Precipitation was masked to only include fjords. We selected fjords by creating a convex hull around Greenland and Qeqertarsuaq (Disko Island), separately, using Python's scipy.convexhull following the procedure proposed by <xref ref-type="bibr" rid="bib1.bibx54" id="text.29"/>. We chose values for the parameters concavity (2) and length threshold (10) and removed all small clusters of grid cells (<inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> km<sup>2</sup>) that were not branches of fjords (defined by calculating the fraction of land in a 4 km radius and setting the threshold to 75 % to exclude small bays that would have almost 50 % ocean in their surroundings). Then we removed all “land” points using the RACMO land sea mask on a 1 <inline-formula><mml:math id="M26" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km<sup>2</sup> resolution, leaving us with “sea” points that we classified as fjords. For a sensitivity analysis of fjord extent in the Discussion (Sect. <xref ref-type="sec" rid="Ch1.S4.SS4"/>), the convex hull was extended from only the main island to also include small offshore islands. Precipitation is defined as precipitation onto the fjord area, neglecting potential interference of sea ice, as discussed in Sect. <xref ref-type="sec" rid="Ch1.S4.SS6"/>.</p>
</sec>
<sec id="Ch1.S2.SS1.SSS3">
  <label>2.1.3</label><title>Solid ice discharge</title>
      <p id="d2e563">For solid ice discharge, the default dataset consists of monthly values since 1986 for individual marine-terminating glaciers and is grouped per region <xref ref-type="bibr" rid="bib1.bibx35" id="paren.30"/>. Winter observations from before 2009 are scarce, and missing values were linearly interpolated for annual values. However, monthly means for the seasonal cycle of relative contributions are calculated from 2009 onwards. The dataset excludes calving from GICs, which is considered small (see Sect. <xref ref-type="sec" rid="Ch1.S4.SS6"/>). A similar procedure is used for a second solid ice discharge dataset from <xref ref-type="bibr" rid="bib1.bibx29" id="text.31"/>, which has larger seasonal variability and is used for comparison in the Discussion (Sect. <xref ref-type="sec" rid="Ch1.S4.SS5"/>).</p>
</sec>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Region definitions</title>
      <p id="d2e585">Because this study considers freshwater fluxes into fjords, which differs from most hydrological, glaciological, and oceanic applications, Greenland is divided into seven climatologically distinct regions (Fig. <xref ref-type="fig" rid="F1"/>): North (NO), North-East (NE), North-West (NW), Central East (CE), Central West (CW), South-West (SW), and South-East (SE). These are based on the seven land/ice basins from <xref ref-type="bibr" rid="bib1.bibx53" id="text.32"/> that in turn are based on the <xref ref-type="bibr" rid="bib1.bibx44" id="text.33"/> ice divides. We made one adjustment by moving the boundary between SE and CE northward, along the <xref ref-type="bibr" rid="bib1.bibx44" id="text.34"/> ice divide, to better follow hydrological catchments, as well as to make the regions more comparable in size. Place names used in this study follow the convention by  Oqaasileriffik, which has a map available on their website <xref ref-type="bibr" rid="bib1.bibx48" id="paren.35"/>.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Melt-over-accumulation ratio</title>
      <p id="d2e610">For interpretation purposes (see Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/>) the melt-over-accumulation (MoA) ratio is calculated using the following equation applied to the GrIS and GICs mask in the seven basins:

            <disp-formula id="Ch1.Ex1"><mml:math id="M28" display="block"><mml:mrow><mml:mtext>MoA</mml:mtext><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mtext>melt</mml:mtext><mml:mo>+</mml:mo><mml:mtext>rain</mml:mtext><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mtext>snowfall</mml:mtext><mml:mo>-</mml:mo><mml:mtext>sublimation</mml:mtext><mml:mo>)</mml:mo><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>
      <p id="d2e649">All parameters have units of millimetres of water equivalent (mm w.e.) and are taken from RACMO downscaled to 1 <inline-formula><mml:math id="M29" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km<sup>2</sup> on the ice-covered surfaces. Rain is defined as total precipitation minus snowfall.</p>

<table-wrap id="T1" specific-use="star"><label>Table 1</label><caption><p id="d2e671">Data sources used in this study. Datasets in boldface are used as default data in the results (Sect. <xref ref-type="sec" rid="Ch1.S3"/>), while the others are used for the sensitivity analysis in Sect. <xref ref-type="sec" rid="Ch1.S4.SS5"/>. Statistically downscaled data are indicated with an arrow. Solid ice discharge is not plotted on a grid and therefore indicated with n.a.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Source</oasis:entry>
         <oasis:entry colname="col2">Name</oasis:entry>
         <oasis:entry colname="col3">Citation</oasis:entry>
         <oasis:entry colname="col4">Native resolution</oasis:entry>
         <oasis:entry colname="col5">Period</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1"><bold>Runoff ice sheet (GrIS)</bold> <inline-formula><mml:math id="M31" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> <bold>ice caps (GICs)</bold></oasis:entry>
         <oasis:entry colname="col2"><bold>RACMO2.3p2</bold> <inline-formula><mml:math id="M32" display="inline"><mml:mo>→</mml:mo></mml:math></inline-formula> <bold>1 km</bold></oasis:entry>
         <oasis:entry colname="col3"><bold><xref ref-type="bibr" rid="bib1.bibx46" id="text.36"/></bold></oasis:entry>
         <oasis:entry colname="col4"><bold>5.5</bold> <inline-formula><mml:math id="M33" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> <bold>5.5 km</bold><sup>2</sup></oasis:entry>
         <oasis:entry colname="col5"><bold>1958–2023</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Runoff ice sheet (GrIS) <inline-formula><mml:math id="M35" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> ice caps (GICs)</oasis:entry>
         <oasis:entry colname="col2">MAR3v14 <inline-formula><mml:math id="M36" display="inline"><mml:mo>→</mml:mo></mml:math></inline-formula> 1 km</oasis:entry>
         <oasis:entry colname="col3">
                    <xref ref-type="bibr" rid="bib1.bibx9" id="text.37"/>
                  </oasis:entry>
         <oasis:entry colname="col4">5 <inline-formula><mml:math id="M37" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 5 km<sup>2</sup></oasis:entry>
         <oasis:entry colname="col5">1940–2023</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><bold>Tundra runoff</bold></oasis:entry>
         <oasis:entry colname="col2"><bold>RACMO2.3p2</bold></oasis:entry>
         <oasis:entry colname="col3"><bold><xref ref-type="bibr" rid="bib1.bibx46" id="text.38"/></bold></oasis:entry>
         <oasis:entry colname="col4"><bold>5.5</bold> <inline-formula><mml:math id="M39" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> <bold>5.5 km</bold><sup>2</sup></oasis:entry>
         <oasis:entry colname="col5"><bold>1958–2023</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><bold>(Fjord) precipitation</bold></oasis:entry>
         <oasis:entry colname="col2"><bold>RACMO2.3p2</bold> <inline-formula><mml:math id="M41" display="inline"><mml:mo>→</mml:mo></mml:math></inline-formula> <bold>1 km</bold></oasis:entry>
         <oasis:entry colname="col3"><bold><xref ref-type="bibr" rid="bib1.bibx18" id="text.39"/></bold></oasis:entry>
         <oasis:entry colname="col4"><bold>5.5</bold> <inline-formula><mml:math id="M42" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> <bold>5.5 km</bold><sup>2</sup></oasis:entry>
         <oasis:entry colname="col5"><bold>1958–2023</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">(Fjord) precipitation</oasis:entry>
         <oasis:entry colname="col2">CARRA-West</oasis:entry>
         <oasis:entry colname="col3">
                    <xref ref-type="bibr" rid="bib1.bibx31" id="text.40"/>
                  </oasis:entry>
         <oasis:entry colname="col4">2.5 <inline-formula><mml:math id="M44" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 2.5 km<sup>2</sup></oasis:entry>
         <oasis:entry colname="col5">1991–2023</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><bold>Solid ice discharge</bold></oasis:entry>
         <oasis:entry colname="col2"><bold>Solid ice discharge</bold></oasis:entry>
         <oasis:entry colname="col3"><bold><xref ref-type="bibr" rid="bib1.bibx35" id="text.41"/></bold></oasis:entry>
         <oasis:entry colname="col4"><bold>n.a.</bold></oasis:entry>
         <oasis:entry colname="col5"><bold>1986–2023</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Solid ice discharge</oasis:entry>
         <oasis:entry colname="col2">Solid ice discharge</oasis:entry>
         <oasis:entry colname="col3">
                    <xref ref-type="bibr" rid="bib1.bibx29" id="text.42"/>
                  </oasis:entry>
         <oasis:entry colname="col4">n.a.</oasis:entry>
         <oasis:entry colname="col5">1985–2018</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><bold>Basal melt</bold></oasis:entry>
         <oasis:entry colname="col2"><bold>Basal melt</bold></oasis:entry>
         <oasis:entry colname="col3"><bold><xref ref-type="bibr" rid="bib1.bibx24" id="text.43"/></bold></oasis:entry>
         <oasis:entry colname="col4"><bold>1</bold> <inline-formula><mml:math id="M46" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> <bold>1 km</bold><sup>2</sup></oasis:entry>
         <oasis:entry colname="col5"><bold>2000–2020</bold></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <fig id="F1"><label>Figure 1</label><caption><p id="d2e1051"><bold>(a)</bold> Masks of different surface types at 1 <inline-formula><mml:math id="M48" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km<sup>2</sup> resolution representing the contiguous Greenland ice sheet (GrIS; orange), tundra (green), glaciers and ice caps (GICs; purple), and fjords (red). Thick black lines delineate the seven climatological regions used in this study. <bold>(b)</bold> Relative contribution of different regions to total surface type area. <bold>(c)</bold> Total area per surface type and region.</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f01.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Greenland-integrated freshwater input into fjords</title>
      <p id="d2e1100">Figure <xref ref-type="fig" rid="F2"/> shows a time series of the different components of the total annual freshwater input into Greenland's fjords, using six different data sources (see Methods). Combined, the annual total freshwater input into Greenland fjords averages 1144 (<inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">170</mml:mn></mml:mrow></mml:math></inline-formula>) Gt yr<sup>−1</sup> (0.035 Sv, sverdrup) between 1990 and 2023, where <inline-formula><mml:math id="M52" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> in this section represents uncertainty per source described in the Methods (Sect. <xref ref-type="sec" rid="Ch1.S2"/>). The main contributor is solid ice discharge (462 <inline-formula><mml:math id="M53" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 43 Gt yr<sup>−1</sup>), accounting for 40 % of the total. On average, GrIS (meltwater) runoff is the second-largest source of freshwater into the fjords (31 %, 357 <inline-formula><mml:math id="M55" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 53 Gt yr<sup>−1</sup>), but in years with extreme surface melt, such as 2010, 2012, and 2019, GrIS runoff exceeds the contribution of solid ice discharge. The third-largest contributor is tundra runoff (15 %, 175 <inline-formula><mml:math id="M57" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 17 Gt yr<sup>−1</sup>), followed by GIC runoff (6 %, 71 <inline-formula><mml:math id="M59" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 28 Gt yr<sup>−1</sup>) and (fjord) precipitation (5 %, 54 <inline-formula><mml:math id="M61" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8 Gt yr<sup>−1</sup>). Basal melt contributes 2 % (23 <inline-formula><mml:math id="M63" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5 Gt yr<sup>−1</sup>).</p>

      <fig id="F2" specific-use="star"><label>Figure 2</label><caption><p id="d2e1254">Time series of annual, Greenland total freshwater input into fjords for different components between 1940–2023. Error bars represent typical uncertainty per freshwater source.</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f02.png"/>

        </fig>

      <fig id="F3"><label>Figure 3</label><caption><p id="d2e1265">Average seasonal cycle of components of Greenland total freshwater input with solid ice discharge (blue), GrIS runoff (orange), GIC runoff (purple), tundra runoff (green), and (fjord) precipitation (red) and basal melt (brown). <bold>(a)</bold> Average seasonal cycle of freshwater components and total (black) for 1990–2004 (dashed) and 2005–2023 (solid). Shading represents the standard deviation due to interannual variability. <bold>(b)</bold> As in <bold>(a)</bold> but with a log scale. <bold>(c)</bold> Seasonal cycle of the relative source contributions to the total freshwater input between 2009–2023 (see Methods). Datasets used are indicated in boldface in Table <xref ref-type="table" rid="T1"/>.</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f03.png"/>

        </fig>

      <p id="d2e1289">The period with data availability for all default components spans from 1990 through 2023, allowing for the calculation of absolute and relative changes in annual freshwater sources over time. Total average freshwater input since 2010 is 1239 (<inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">180</mml:mn></mml:mrow></mml:math></inline-formula>) Gt yr<sup>−1</sup>, calculated to compare to other studies in Sect. <xref ref-type="sec" rid="Ch1.S4.SS1"/>. The freshwater sources that have been increasing most rapidly since 1990 are GrIS and GIC runoff, whose relative contribution to the total fjord freshwater input increased by 0.17 % yr<sup>−1</sup> (<inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula>) and 0.05 % yr<sup>−1</sup> (<inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.002</mml:mn></mml:mrow></mml:math></inline-formula>), respectively. Tundra runoff is also increasing in absolute terms but slower than the other components, resulting in a decrease in its relative contribution of 0.08 % yr<sup>−1</sup> (<inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.002</mml:mn></mml:mrow></mml:math></inline-formula>). Precipitation in fjords is changing very slowly in an absolute sense; i.e. its relative contribution is decreasing by 0.03 % yr<sup>−1</sup> (<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
      <p id="d2e1413">For the period when monthly resolution is available for all components (2009–2023), Fig. <xref ref-type="fig" rid="F3"/> shows the average seasonal cycle of the Greenland total freshwater input into fjords based on monthly sums using (a) absolute linear, (b) absolute logarithmic, and (c) relative scales. Figure <xref ref-type="fig" rid="F3"/>c is based on the default datasets (Table <xref ref-type="table" rid="T1"/>), and values are presented in Tables <xref ref-type="table" rid="TA1"/> and <xref ref-type="table" rid="TA2"/>. Most freshwater input occurs during July at the peak of the melt season (296 <inline-formula><mml:math id="M75" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 57 Gt), and least occurs during March in late winter (48 <inline-formula><mml:math id="M76" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4 Gt). Freshwater input during winter months is primarily driven by solid ice discharge (82 <inline-formula><mml:math id="M77" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4 %, 41 <inline-formula><mml:math id="M78" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1 Gt per month, in DJF, December–January–February), whereas summer freshwater input is dominated by GrIS runoff (up to 68 <inline-formula><mml:math id="M79" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.5 %, 172 <inline-formula><mml:math id="M80" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 28 Gt per month, in July). Greenland tundra runoff peaks in early summer, when the seasonal snow melts (Fig. <xref ref-type="fig" rid="F3"/>a) with a maximum of 36 <inline-formula><mml:math id="M81" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 % of the total freshwater input occurring in May (Fig. <xref ref-type="fig" rid="F3"/>c). While direct precipitation in fjords contributes little on average, when examined at a monthly scale, it can account for up to 11 <inline-formula><mml:math id="M82" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 % of the total in January (Fig. <xref ref-type="fig" rid="F3"/>c). Basal melt accounts for a maximum of 3 <inline-formula><mml:math id="M83" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.6 % (March). There is an increase in summer GrIS runoff in the latter half of the period (2005–2023) compared to the first half (1990–2004), along with a rise in monthly solid ice discharge (Fig. <xref ref-type="fig" rid="F3"/>a).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Regional freshwater input into fjords</title>
      <p id="d2e1508">In order to study how the sources of freshwater are influenced by different climatic conditions across Greenland, surface types, (sea) ice conditions, and fjord geometry, Greenland is divided into seven different regions (Fig. <xref ref-type="fig" rid="F1"/>). First, we discuss the time series of annual totals per region (Fig. <xref ref-type="fig" rid="F4"/>) and then the seasonal cycle focusing on the relative contributions of the freshwater sources (Fig. <xref ref-type="fig" rid="F5"/>). In the following paragraphs, we will report 1990–2023 annual means of datasets indicated in boldface in Table <xref ref-type="table" rid="T1"/>, with a standard deviation of the annual values (<inline-formula><mml:math id="M84" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula>), unless reported differently.  The absolute and relative average values can be found in Tables <xref ref-type="table" rid="TA3"/> and <xref ref-type="table" rid="TA4"/>, respectively. These results will be put into a climatological context in the Discussion (Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/>).</p>
      <p id="d2e1533">Annual freshwater input shows large variations between the regions, but on average freshwater input per sector is 251 Gt yr<sup>−1</sup> for SE, 178 Gt yr<sup>−1</sup> for SW, 179 Gt yr<sup>−1</sup> for CE, and 183 Gt yr<sup>−1</sup> for CW, and for the northern regions it is 119 Gt yr<sup>−1</sup> for NE, 146 Gt yr<sup>−1</sup> for NW, and 88 Gt yr<sup>−1</sup> for NO between 1990 through 2023  (Fig. <xref ref-type="fig" rid="F4"/>). In NO (Fig. <xref ref-type="fig" rid="F4"/>a), which in an absolute sense provides the least freshwater to fjords of all basins, all freshwater sources except (fjord) precipitation increase over time. Other regions did not have a significant trend in precipitation. This region typically has large interannual variability in all runoff sources. At the start of the period, solid ice discharge was dominant (24 <inline-formula><mml:math id="M92" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 Gt yr<sup>−1</sup>, 1990–2004), but later in the period GrIS runoff took over as the dominant freshwater input in NO fjords (36 <inline-formula><mml:math id="M94" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11 Gt yr<sup>−1</sup>, 2005–2023). In NO, tundra runoff has a relatively large share in the total regional freshwater input (17 <inline-formula><mml:math id="M96" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 Gt yr<sup>−1</sup>) compared to other regions, which is associated with the relatively large tundra area in this dry part of Greenland, where the ice sheet is mainly land-terminating (Fig. <xref ref-type="fig" rid="F1"/>b). The pattern for NE (Fig. <xref ref-type="fig" rid="F4"/>b) is similar to the pattern for NO, with the exception of a relatively smaller role of GIC runoff (12 <inline-formula><mml:math id="M98" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4 Gt yr<sup>−1</sup>) and even more tundra runoff (30 <inline-formula><mml:math id="M100" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5 Gt yr<sup>−1</sup>), making the latter occasionally the largest freshwater contribution in this region. In contrast, the wetter NW (Fig. <xref ref-type="fig" rid="F4"/>c) has glaciers that are mainly marine-terminating, with a relatively narrow tundra and a small fjord area (Fig. <xref ref-type="fig" rid="F1"/>b). Here, the freshwater input into fjords is clearly dominated by solid ice discharge (100 <inline-formula><mml:math id="M102" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8 Gt yr<sup>−1</sup>), which is greater than the combined contributions of all other sources. GrIS runoff accounts for approximately 30 % of the input, while the other sources are relatively small. The NW solid ice discharge has been increasing since the early 2000s, in line with earlier work that diagnosed the cause to be increasing ocean temperatures <xref ref-type="bibr" rid="bib1.bibx65" id="paren.44"/>.</p>
      <p id="d2e1753">In CW (Fig. <xref ref-type="fig" rid="F4"/>d), the contribution of GrIS runoff (63 <inline-formula><mml:math id="M104" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 18 Gt yr<sup>−1</sup>) has been increasing but with high interannual variability. In recent years, it has been occasionally larger than solid ice discharge, which remains the overall main contributor (83 <inline-formula><mml:math id="M106" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9 Gt yr<sup>−1</sup>). In contrast to most other regions, solid ice discharge decreased between 2013 and 2018 (Fig. <xref ref-type="fig" rid="F4"/>d). Tundra runoff is relatively large in this region (21 <inline-formula><mml:math id="M108" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 Gt yr<sup>−1</sup>). Basal melt, (fjord) precipitation, and GIC runoff are of a similar small magnitude, with each contributing 3 % to the annual total. In CE (Fig. <xref ref-type="fig" rid="F4"/>e), the largest input source is solid ice discharge (77 <inline-formula><mml:math id="M110" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 Gt yr<sup>−1</sup>), closely followed by GrIS runoff. Tundra runoff is approximately twice as large as GIC runoff (11 <inline-formula><mml:math id="M112" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 Gt yr<sup>−1</sup>) or (fjord) precipitation (14 <inline-formula><mml:math id="M114" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 Gt yr<sup>−1</sup>). This is the region where (fjord) precipitation has the largest relative contribution (up to 20 %), partly due to the relatively large fjord area (Fig. <xref ref-type="fig" rid="F1"/>c). The largest and an increasing contributor in the SW (Fig. <xref ref-type="fig" rid="F4"/>f) is GrIS runoff (80 <inline-formula><mml:math id="M116" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 23 Gt yr<sup>−1</sup>). Especially before 2006, tundra runoff (55 <inline-formula><mml:math id="M118" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9 Gt yr<sup>−1</sup>) incidentally exceeded GrIS runoff during cold summers. Finally, the wet SE (Fig. <xref ref-type="fig" rid="F4"/>g) has a narrow ablation zone, and the freshwater input into SE fjords is dominated by solid ice discharge (138 <inline-formula><mml:math id="M120" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7 Gt yr<sup>−1</sup>). Similar to NW, solid ice discharge in SE has been gradually increasing since the early 2000s (Fig. <xref ref-type="fig" rid="F4"/>g).</p>
<sec id="Ch1.S3.SS2.SSS1">
  <label>3.2.1</label><title>Seasonal cycle of relative freshwater contributions per region</title>
      <p id="d2e1952">To further characterize the freshwater sources geographically and temporally, Fig. <xref ref-type="fig" rid="F5"/> shows the seasonal cycle per region based on the relative monthly contributions since 2009, for datasets indicated in Table <xref ref-type="table" rid="T1"/>. In all regions, GrIS runoff is the dominant freshwater source in July and August (Fig. <xref ref-type="fig" rid="F5"/>), underlining the non-uniform distribution of this freshwater flux through the year, with a strong summer peak. In some regions (SE, NW)  with high accumulation and/or narrow ablation zones, however, the contribution of GrIS runoff in summer is only slightly larger than that of solid ice discharge in the same months (Fig. <xref ref-type="fig" rid="F5"/>b, g). Both GrIS and GIC runoff have their largest contributions in July, but their relative contribution varies per region. In NO, the latter accounts for up to 25 % of the annual freshwater input (Fig. <xref ref-type="fig" rid="F5"/>a), while in NW, it does not exceed 5 % (Fig. <xref ref-type="fig" rid="F5"/>b). The relative contribution of solid ice discharge is always important in winter when the runoff fluxes are small. Regional variations occur during summer, when the solid ice discharge share is low in the SW (Fig. <xref ref-type="fig" rid="F5"/>f), while in other regions (NW, SE) it remains the second-largest freshwater source throughout summer (Fig. <xref ref-type="fig" rid="F5"/>b, g). The largest share of tundra runoff of all seasons and regions (69 %) is in May in SW (Fig. <xref ref-type="fig" rid="F5"/>f). In the SW, tundra runoff even contributes in winter leading to the highest annual average (31 %), due to the relatively high proportion of non-glaciated areas in the region and the year-round occurrence of seasonal snowmelt (Fig. <xref ref-type="fig" rid="F1"/>b). In other regions, the tundra runoff contribution to total freshwater input also peaks in May. There are similarities between the seasonal cycle for each region, and many sources peak in the same month. However, the magnitude of this source's contribution to the total freshwater input, as well as its relevance at any given time, varies.</p>

      <fig id="F4"><label>Figure 4</label><caption><p id="d2e1978">Time series of annual freshwater  input per region between 1990–2023. Datasets used are indicated in boldface in Table <xref ref-type="table" rid="T1"/>.</p></caption>
            <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f04.png"/>

          </fig>

      <fig id="F5"><label>Figure 5</label><caption><p id="d2e1991">Seasonal cycle of the relative contribution of sources to the total freshwater input between 2009–2023 per region (see Methods). The datasets used are indicated in boldface in Table <xref ref-type="table" rid="T1"/>.</p></caption>
            <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f05.png"/>

          </fig>


</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <label>3.2.2</label><title>Trends in seasonal freshwater input</title>
      <p id="d2e2013">Using the monthly data from 1990 through 2023, (sub)seasonal trends in the various freshwater components are examined. All freshwater sources originating from land ice, i.e. GrIS solid ice discharge and GrIS and GIC runoff, are increasing in all regions and have been discussed previously. However, the patterns for tundra runoff and (fjord) precipitation are more ambiguous and will be discussed in further detail below.</p>
      <p id="d2e2016">A positive trend in tundra runoff is found for CE, NW, NE, and SE in different seasons. In CE, an increase of 0.15 <inline-formula><mml:math id="M122" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04 Gt yr<sup>−2</sup> (<inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.002</mml:mn></mml:mrow></mml:math></inline-formula>) is observed, with more than half of the absolute increase occurring in summer (JJA, June–July–August). In NW, tundra runoff increased by 9 % or 0.05 <inline-formula><mml:math id="M125" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.01 Gt yr<sup>−2</sup> (<inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.002</mml:mn></mml:mrow></mml:math></inline-formula>), of which 0.03 Gt yr<sup>−2</sup> was in JJA (<inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula>), due to increasing annual precipitation. In NE, tundra runoff has been increasing by 0.20 <inline-formula><mml:math id="M130" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.09 Gt yr<sup>−2</sup> (<inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.043</mml:mn></mml:mrow></mml:math></inline-formula>). In SE there is a positive summer (JJA) trend of 0.05 (<inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula>) Gt yr<sup>−2</sup> (<inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.07</mml:mn></mml:mrow></mml:math></inline-formula>, 2.5 % of total annual precipitation). No significant trend was found for tundra runoff in other seasons or regions.</p>
      <p id="d2e2172">Fjord precipitation mostly shows no significant trends except in CE and SE. CE has an increase in the months September–October of 0.04 Gt yr<sup>−2</sup> (<inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula>). In SE, there is a spring (MAM, March–April–May) increase of 0.04 <inline-formula><mml:math id="M139" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 Gt yr<sup>−2</sup> (<inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>) (3 % of total). In summary, there is an increase in summer tundra runoff in CE, NW, and SE, and in  CE and SE there is a small (fjord) precipitation increase in spring and fall.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Discussion</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Comparison with other research</title>
      <p id="d2e2258">This study uses regional climate model data and observations of solid ice discharge to estimate the freshwater input from different sources entering Greenland's fjords. We find an average total annual Greenland freshwater input into fjords of 1.14 <inline-formula><mml:math id="M142" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> Gt yr<sup>−1</sup> for 1990–2023 (1.24 <inline-formula><mml:math id="M145" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> Gt yr<sup>−1</sup> since 2010).  We estimate uncertainty to be 20 %, based on lower estimates for Greenland-wide surface mass balance. The average annual rates are compared for 2010–2016, a period with a relatively smaller trend than the preceding years and covered by all studies in this comparison. The annual rate in this study is slightly smaller than the total Arctic freshwater input found by <xref ref-type="bibr" rid="bib1.bibx2" id="text.45"/> (1300 Gt yr<sup>−1</sup> since 2010), which included non-Greenland ice caps. The region we study is a subset of the broader Arctic region analysed by <xref ref-type="bibr" rid="bib1.bibx2" id="text.46"/>, making their estimate useful for context and as an upper bound for our values. GrIS runoff between 2010–2016 is higher in   <xref ref-type="bibr" rid="bib1.bibx2" id="text.47"/> and <xref ref-type="bibr" rid="bib1.bibx19" id="text.48"/> than estimated in this study. Before 2000, GrIS runoff was significantly higher in <xref ref-type="bibr" rid="bib1.bibx2" id="text.49"/> than in this study (<inline-formula><mml:math id="M149" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 350 vs. <inline-formula><mml:math id="M150" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 250 Gt yr<sup>−1</sup>).</p>
      <p id="d2e2376">We find higher tundra runoff than <xref ref-type="bibr" rid="bib1.bibx2" id="text.50"/>  (150 vs. 80 Gt yr<sup>−1</sup>) and than <xref ref-type="bibr" rid="bib1.bibx34" id="text.51"/> (100–130 Gt yr<sup>−1</sup>).  <xref ref-type="bibr" rid="bib1.bibx19" id="text.52"/> estimated a total tundra runoff based on MAR of between 140–160 Gt yr<sup>−1</sup> (1950–2021), similar to values found in this study using RACMO output (Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>). Observational studies show that tundra and GrIS and GIC runoff estimates are very sensitive to the selected region and are easily underestimated in regional climate models, with differences of up to 30 %–50 % between point measurements and regional climate models when specifically matching regions or even more than 100 % for smaller catchments <xref ref-type="bibr" rid="bib1.bibx56 bib1.bibx57 bib1.bibx34 bib1.bibx1" id="paren.53"/>. Yet, there are very few observational studies of total Greenland runoff and even less on tundra runoff, making estimates of the latter the least certain factor in the total freshwater input in its surrounding fjords and seas in this study.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Differences between regions and their implications</title>
      <p id="d2e2438">To determine potential drivers behind these regional differences, freshwater components were correlated with the melt-over-accumulation (MoA) ratio (Sect. <xref ref-type="sec" rid="Ch1.S2.SS3"/>), based on land-ice-integrated mass fluxes in each region (Fig. <xref ref-type="fig" rid="F6"/>a, b). The MoA ratio has been used previously in firn studies to determine the climatic conditions under which melt would generate runoff in the accumulation zone. Previous work has identified a theoretical MoA ratio threshold between 0.6 and 0.7, indicating the onset of runoff <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx4" id="paren.54"/>. More recently, MoA has been used to predict when melt ponding starts on Antarctic ice shelves <xref ref-type="bibr" rid="bib1.bibx62" id="paren.55"/>. In this study, MoA is used as a climatological indicator over the ice sheet, which we hypothesize is highly relevant to the partitioning between solid ice discharge and liquid water runoff into fjords. MoA does not directly depend on runoff but on melt as well as snowfall; the relative regional sizes of ablation and accumulation areas and the potential for meltwater buffering (through snowfall) also become important. We find that the fraction of total freshwater by solid ice discharge is strongly and negatively correlated with MoA (Fig. <xref ref-type="fig" rid="F6"/>a), while tundra runoff fraction shows a strong and positive correlation (Fig. <xref ref-type="fig" rid="F6"/>b). A somewhat weaker correlation exists between the fraction of total freshwater of GrIS runoff and MoA (<inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.78</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula>, not shown). Furthermore, the regional fractions to total freshwater input of both GrIS and tundra runoff decrease with an increasing fraction of solid ice discharge (Fig. <xref ref-type="fig" rid="F6"/>c, d). Yet, no such relation is found for fraction of GIC runoff or precipitation. These results can be intuitively understood: in a region with a smaller MoA ratio, i.e. experiencing relatively low melt and/or high accumulation, the ice sheet extends further towards and into the ocean. This leads to relatively narrow tundra and ablation zones and a higher contribution of solid ice discharge at the expense of GrIS and tundra runoff.  To our knowledge, no studies have identified a strong link between MoA and freshwater input fractions in Greenland fjords. In contrast, freshwater input fractions into fjords poorly correlate with temperature, melt, or snowfall. This novel result will facilitate the interpretation of e.g. future changes in the distribution of freshwater fluxes in terms of climate change. Higher temperatures increase melt, hence GrIS runoff, and allow for a higher exposed-land fraction, while more solid precipitation has the opposite effect. Both southern regions are relatively mild, but due to their different precipitation regimes, their freshwater fractions are different. Similarly, the NW sector is drier than the SW sector, but because of the lower temperatures, the freshwater fluxes in the NW are even more dominated by solid ice discharge than the SE sector.</p>

      <fig id="F6"><label>Figure 6</label><caption><p id="d2e2484">Correlation plots for the seven regions between the <bold>(a)</bold> fraction (of total freshwater input) of solid ice discharge and MoA, <bold>(b)</bold> fraction of tundra runoff and MoA, <bold>(c)</bold> fraction of solid ice discharge and fraction of GrIS runoff, and <bold>(d)</bold> fraction of solid ice discharge and fraction of tundra runoff and their respective <inline-formula><mml:math id="M157" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M158" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> values.</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f06.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Contribution of tundra runoff and (fjord) precipitation</title>
      <p id="d2e2528">Annual mean tundra runoff is on average 15 % of the total runoff (1990–2023), exceeding the relative contributions estimated in previous work (9 %–11 % estimated from Fig. 3 in <xref ref-type="bibr" rid="bib1.bibx2" id="altparen.56"/>). Seasonal contributions from tundra runoff and fjord precipitation to Greenland-wide freshwater input can reach up to 35 % and 11 %, respectively. The south and east of Greenland have relatively high precipitation rates <xref ref-type="bibr" rid="bib1.bibx9 bib1.bibx58" id="paren.57"/>, which leads to the regions CE, SE, SW, and NE having a relatively high contribution of fjord precipitation to the total freshwater input (monthly percentages up to 22 %, 12 %, 20 %, and 22 %, respectively), especially from October until April, when runoff is small (Fig. <xref ref-type="fig" rid="F5"/>). This study also identifies an increase in summertime fjord precipitation in CE and SE, but no significant trends in annual totals are found. Although summertime fjord precipitation has a relatively low contribution to the total freshwater input, its impact differs from runoff as all precipitation enters the fjord surface waters directly in a relatively spatially homogeneously fashion, thereby increasing stratification. While the precipitation phase (liquid or solid) is unlikely to have a large impact on freshwater input, it has a large impact on the heat budget. For example, snowfall into fjords can have a cooling effect on the upper layers, decreasing stratification, but this is outside the scope of this study.</p>
      <p id="d2e2539">In CE, NE, NW, and SE we find an increase in (summer) tundra runoff. Compared to glacial runoff, tundra runoff brings a different type of nutrients to fjords, and its entry point is less concentrated than runoff and solid ice discharge from marine-terminating glaciers. This ultimately affects ecosystems <xref ref-type="bibr" rid="bib1.bibx17" id="paren.58"/>, e.g. by shifting spring blooms to different communities. Despite the increase in absolute tundra runoff, its relative importance for the fjord freshwater balance is decreasing in time as freshwater sources from land ice are increasing more rapidly. An obvious reason is the limited water storage in the tundra seasonal snow cover compared to land ice.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Sensitivity to the fjord definition</title>
      <p id="d2e2553">The region covered by a fjord is hard to define, and some freshwater studies only considered land surface basins <xref ref-type="bibr" rid="bib1.bibx27" id="paren.59"/> or included or excluded large bays such as Disko Bay and Kangertittivaq (formerly known as Scoresby Sund). To address the sensitivity of our results regarding how fjords are defined, we performed a fjord area sensitivity test. When being more lenient in the algorithm outlining fjords to include bays such as Disko Bay and by running the algorithm not only for the mainland but also for all barrier islands, the total fjord (and bay) area increases by up to 87 % (Fig. <xref ref-type="fig" rid="FA1"/>). The largest relative increase in area is found in the NW (and NE) at <inline-formula><mml:math id="M159" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>177 % (<inline-formula><mml:math id="M160" display="inline"><mml:mo lspace="0mm">+</mml:mo></mml:math></inline-formula>160 %), while in CE, the fjord area only increases by 7 %. This results in up to 186 % (181 %) increases in (fjord) precipitation in NE (NW) and 15 % more in CE. In NE and NW, this increases the relative contribution of (fjord) precipitation from 5 % to 8 % and from 2 % to 3 % between 1990–2023. In CE, we find an increase from 8 % to 9 %.</p>
</sec>
<sec id="Ch1.S4.SS5">
  <label>4.5</label><title>Choice of data sources</title>
      <p id="d2e2584">In the previous sections, we used RACMO-based freshwater fluxes and solid ice discharge from <xref ref-type="bibr" rid="bib1.bibx35" id="text.60"/>. As discussed in this section, using alternative estimates does not considerably change the absolute and relative contribution of the freshwater input sources. CARRA gives slightly lower (fjord) precipitation values than RACMO (on average 7 Gt yr<sup>−1</sup> less or 15 %), but the temporal variability is comparable (Fig. <xref ref-type="fig" rid="F2"/>). The lower precipitation results in a decrease in the maximum (monthly) share of fjord precipitation from 12 % to 10 %. Regionally, the difference is largest in the SW in DJF (<inline-formula><mml:math id="M162" display="inline"><mml:mo lspace="0mm">+</mml:mo></mml:math></inline-formula>3 %), which is true for most regions, except for NO, where the largest reduction in the total share is in May (<inline-formula><mml:math id="M163" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>3 %) (Fig. <xref ref-type="fig" rid="FA2"/>).</p>
      <p id="d2e2621">GrIS runoff from MAR is higher than RACMO (<inline-formula><mml:math id="M164" display="inline"><mml:mo lspace="0mm">+</mml:mo></mml:math></inline-formula>3 %, 1990–2023), especially since 2010 (<inline-formula><mml:math id="M165" display="inline"><mml:mo lspace="0mm">+</mml:mo></mml:math></inline-formula>5 %) (Fig. <xref ref-type="fig" rid="FA3"/>). This is not the case for GICs, which is 3 % lower in MAR on average (1990–2023). The impact on the relative share of GrIS runoff to freshwater is only <inline-formula><mml:math id="M166" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>1 % (1990–2023). Regionally, the differences between MAR and RACMO are most noticeable in NW (<inline-formula><mml:math id="M167" display="inline"><mml:mo lspace="0mm">+</mml:mo></mml:math></inline-formula>8 Gt yr<sup>−1</sup>), SW (<inline-formula><mml:math id="M169" display="inline"><mml:mo lspace="0mm">+</mml:mo></mml:math></inline-formula>11 Gt yr<sup>−1</sup>), and CE (<inline-formula><mml:math id="M171" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>9 Gt yr<sup>−1</sup>). The difference leads to a higher share of GrIS runoff when using MAR in NO, NW, and SW (<inline-formula><mml:math id="M173" display="inline"><mml:mo lspace="0mm">+</mml:mo></mml:math></inline-formula>2.3 %, <inline-formula><mml:math id="M174" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>3.6 %, and <inline-formula><mml:math id="M175" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>3.4 %, respectively) and a lower share in CE (<inline-formula><mml:math id="M176" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>3.4 %). For GIC runoff, the largest change is <inline-formula><mml:math id="M177" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3 Gt yr<sup>−1</sup> in MAR in NE, reducing the relative share of GIC runoff by 1.9 % in NE.</p>
      <p id="d2e2753">We find that tundra runoff in RACMO is 36 % higher than in MAR (175 vs. 128 Gt yr<sup>−1</sup>, averaged over 1990–2023). Differences are especially large in NO and NE, where the difference is 8 Gt yr<sup>−1</sup> (47 %) and 13 Gt yr<sup>−1</sup> (43 %), respectively. Using MAR tundra runoff thus results in a decrease in the tundra runoff contribution to the total freshwater input in fjords of 9 % and 17 %, respectively. This shows that in MAR the contribution of tundra runoff remains significant, but the large model differences require further investigation.</p>
      <p id="d2e2792">Solid ice discharge in <xref ref-type="bibr" rid="bib1.bibx35" id="text.61"/> is only 0.9 % smaller than in the study by <xref ref-type="bibr" rid="bib1.bibx29" id="text.62"/>. For their common epoch of monthly values (2009–2018) (see Sect. <xref ref-type="sec" rid="Ch1.S2.SS1.SSS3"/>), the datasets agree on annual totals  (Fig. <xref ref-type="fig" rid="F2"/>). The latter dataset shows larger seasonal variability, resulting in a small maximum mean increase of 1 Gt in July over the whole of Greenland (Fig. <xref ref-type="fig" rid="FA5"/>) and a small relative change compared to the other components of 0.4 % in September (Fig. <xref ref-type="fig" rid="FA5"/>). Regionally differences are larger, leading to relatively less solid ice discharge in NO, NW, and CE, decreasing the percentage share of solid ice discharge by 1.5 (<inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula>) % on average (Fig. <xref ref-type="fig" rid="FA5"/>). In the other regions (NE, CW, SW, SE) the relative share of solid ice discharge increases by 0.6 (<inline-formula><mml:math id="M183" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula>) % on average. The changes are not uniform over the months but are still considered small. We conclude that uncertainty due to the use of different data sources is less than the interannual variability during the period 2009–2023.</p>
</sec>
<sec id="Ch1.S4.SS6">
  <label>4.6</label><title>Neglected processes and fluxes</title>
      <p id="d2e2840">Apart from the above-discussed uncertainties, this study covers freshwater input but not the freshwater budget of fjords. It moreover neglects (i) the storage effect of sea ice, i.e. collecting snow and rain accumulation; (ii) the advection of sea ice into and out of the fjords; and (iii) sea ice preventing precipitation from directly entering the fjord waters. The effect of sea ice on the fjord's freshwater budget varies per region and season. Most sea ice in Arctic fjords is landfast and thus will melt in the same fjord where it originally formed, temporarily storing freshwater rather than being a separate source <xref ref-type="bibr" rid="bib1.bibx5" id="paren.63"/>. Large regional and temporal variability exists in sea ice presence and the timing of formation and melt. In SE Greenland, Arctic sea ice can originate offshore, importing freshwater, while fjords in the SW can remain largely ice-free throughout the year <xref ref-type="bibr" rid="bib1.bibx42 bib1.bibx55" id="paren.64"/>. The timing of seasonal sea ice break-up differs regionally: in SE Greenland, it occurs between May and August, while NO fjords can be ice-covered throughout most of the year <xref ref-type="bibr" rid="bib1.bibx42 bib1.bibx23 bib1.bibx67" id="paren.65"/>. We hypothesize that the uncertainty resulting from neglected sea ice processes will be larger with increasing latitude, with more in the east than in the west and in winter months. Exploring the impact of sea ice on the freshwater budget is a potential avenue for future research.</p>
      <p id="d2e2852">Another process not considered is that the transformation from solid ice to freshwater may happen outside the fjord if icebergs leave the fjord <xref ref-type="bibr" rid="bib1.bibx41" id="paren.66"/>. Finally, our study neglects freshwater storage effects in the fjord, as fjord circulation is outside the scope of this study. We excluded solid ice discharge from the GICs, as it is estimated to be only 2.3–3.2 Gt yr<sup>−1</sup> between 2000–2020 on average per decade <xref ref-type="bibr" rid="bib1.bibx30" id="paren.67"/>, and the dataset does not specify discharge on a regional and monthly scale. Solid ice discharge is determined by applying fixed flux gates, which comes with the advantage that the solid ice discharge in this study is consistent with earlier work <xref ref-type="bibr" rid="bib1.bibx44 bib1.bibx35 bib1.bibx29" id="paren.68"/>. However, the disadvantage is that we neglect solid ice discharge due to systematic glacier front retreat, which is estimated to have averaged 42 Gt yr<sup>−1</sup> since 2000 for the total ice sheet  <xref ref-type="bibr" rid="bib1.bibx14" id="paren.69"/>, i.e. similar to or larger in magnitude than basal melt over the studied period. Because the glacier front advances in winter and retreats in summer (63 <inline-formula><mml:math id="M186" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 Gt seasonally; <xref ref-type="bibr" rid="bib1.bibx35 bib1.bibx14" id="altparen.70"/>), the use of fixed flux gates likely leads to an underestimation of solid ice discharge in summer and an overestimation in winter. This error is however less important for a study addressing freshwater input assuming fixed outlines of the fjord, like we do here, than one addressing the freshwater budget of fjords.</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Summary and conclusions</title>
      <p id="d2e2912">We estimated freshwater input into Greenland fjords based on regional climate models (runoff, precipitation, melt-over-accumulation ratio), process-based estimates (basal melt), and satellite products (solid ice discharge). We individually quantified the contributions of solid ice discharge from the contiguous Greenland ice sheet (GrIS), GrIS runoff, runoff from peripheral glaciers and ice caps (GICs) and tundra runoff, and precipitation falling directly into the fjords. We provide a seasonally resolved analysis from 1990 onwards, from when estimates of all contributing fluxes are available at a monthly time resolution. We estimated that averaged over Greenland between 1990–2023, the relative contributions to the freshwater input are 40 % for solid ice discharge; 33 % and 7 % for GrIS and GIC runoff, respectively; 15 % for tundra runoff; and 5 % for fjord precipitation. Considerable regional and seasonal variations exist. In winter, direct precipitation into fjords can contribute up to 11 % to the total freshwater input Greenland-wide, and in May the relative contribution of tundra runoff peaks at 35 %. The SE and NW regions of Greenland have a solid-ice-discharge-dominated freshwater regime, while the freshwater sources in the SW are dominated by tundra runoff and GrIS and GIC runoff. The regional glacial melt-over-accumulation ratio is shown to be a good predictor of the regional partitioning of freshwater input into fjords; a high melt-over-accumulation ratio relates to a low relative contribution of solid ice discharge and higher relative contributions of tundra and GrIS runoff. The large variability in time and space of the freshwater input into Greenland fjords needs to be taken into account to understand their present and future impact on ecosystems and ocean circulation.</p>
</sec>

      
      </body>
    <back><app-group>

<app id="App1.Ch1.S1">
  <label>Appendix A</label><title>Supplementary material</title>

<table-wrap id="TA1"><label>Table A1</label><caption><p id="d2e2931">Average relative input per freshwater source for the whole of Greenland between 2009–2023, in percentage (%).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Month</oasis:entry>
         <oasis:entry colname="col2">Solid ice discharge</oasis:entry>
         <oasis:entry colname="col3">Precipitation</oasis:entry>
         <oasis:entry colname="col4">Tundra runoff</oasis:entry>
         <oasis:entry colname="col5">GIC runoff</oasis:entry>
         <oasis:entry colname="col6">GrIS runoff</oasis:entry>
         <oasis:entry colname="col7">Basal melt</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">81</oasis:entry>
         <oasis:entry colname="col3">11</oasis:entry>
         <oasis:entry colname="col4">3</oasis:entry>
         <oasis:entry colname="col5">0.3</oasis:entry>
         <oasis:entry colname="col6">0.9</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">83</oasis:entry>
         <oasis:entry colname="col3">10</oasis:entry>
         <oasis:entry colname="col4">3</oasis:entry>
         <oasis:entry colname="col5">0.2</oasis:entry>
         <oasis:entry colname="col6">0.8</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">85</oasis:entry>
         <oasis:entry colname="col3">8</oasis:entry>
         <oasis:entry colname="col4">3</oasis:entry>
         <oasis:entry colname="col5">0.3</oasis:entry>
         <oasis:entry colname="col6">0.9</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">74</oasis:entry>
         <oasis:entry colname="col3">7</oasis:entry>
         <oasis:entry colname="col4">15</oasis:entry>
         <oasis:entry colname="col5">0.5</oasis:entry>
         <oasis:entry colname="col6">2</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">5</oasis:entry>
         <oasis:entry colname="col2">49</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">35</oasis:entry>
         <oasis:entry colname="col5">1</oasis:entry>
         <oasis:entry colname="col6">8</oasis:entry>
         <oasis:entry colname="col7">2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6</oasis:entry>
         <oasis:entry colname="col2">23</oasis:entry>
         <oasis:entry colname="col3">2</oasis:entry>
         <oasis:entry colname="col4">29</oasis:entry>
         <oasis:entry colname="col5">6</oasis:entry>
         <oasis:entry colname="col6">38</oasis:entry>
         <oasis:entry colname="col7">2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">7</oasis:entry>
         <oasis:entry colname="col2">13</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">12</oasis:entry>
         <oasis:entry colname="col5">13</oasis:entry>
         <oasis:entry colname="col6">60</oasis:entry>
         <oasis:entry colname="col7">1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">8</oasis:entry>
         <oasis:entry colname="col2">20</oasis:entry>
         <oasis:entry colname="col3">2</oasis:entry>
         <oasis:entry colname="col4">12</oasis:entry>
         <oasis:entry colname="col5">11</oasis:entry>
         <oasis:entry colname="col6">54</oasis:entry>
         <oasis:entry colname="col7">1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">9</oasis:entry>
         <oasis:entry colname="col2">51</oasis:entry>
         <oasis:entry colname="col3">8</oasis:entry>
         <oasis:entry colname="col4">12</oasis:entry>
         <oasis:entry colname="col5">5</oasis:entry>
         <oasis:entry colname="col6">22</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10</oasis:entry>
         <oasis:entry colname="col2">74</oasis:entry>
         <oasis:entry colname="col3">11</oasis:entry>
         <oasis:entry colname="col4">9</oasis:entry>
         <oasis:entry colname="col5">0.7</oasis:entry>
         <oasis:entry colname="col6">3</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">11</oasis:entry>
         <oasis:entry colname="col2">78</oasis:entry>
         <oasis:entry colname="col3">10</oasis:entry>
         <oasis:entry colname="col4">7</oasis:entry>
         <oasis:entry colname="col5">0.3</oasis:entry>
         <oasis:entry colname="col6">1</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">12</oasis:entry>
         <oasis:entry colname="col2">81</oasis:entry>
         <oasis:entry colname="col3">10</oasis:entry>
         <oasis:entry colname="col4">5</oasis:entry>
         <oasis:entry colname="col5">0.3</oasis:entry>
         <oasis:entry colname="col6">1</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Total</oasis:entry>
         <oasis:entry colname="col2">40</oasis:entry>
         <oasis:entry colname="col3">4</oasis:entry>
         <oasis:entry colname="col4">14</oasis:entry>
         <oasis:entry colname="col5">7</oasis:entry>
         <oasis:entry colname="col6">33</oasis:entry>
         <oasis:entry colname="col7">2</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<table-wrap id="TA2"><label>Table A2</label><caption><p id="d2e3316">Average absolute input from freshwater sources into Greenland fjords between 1990–2023 with a standard deviation of interannual variability  (<inline-formula><mml:math id="M187" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula>), in gigatonnes per year (Gt yr<sup>−1</sup>).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Month</oasis:entry>
         <oasis:entry colname="col2">Solid ice discharge</oasis:entry>
         <oasis:entry colname="col3">Precipitation</oasis:entry>
         <oasis:entry colname="col4">Tundra runoff</oasis:entry>
         <oasis:entry colname="col5">GIC runoff</oasis:entry>
         <oasis:entry colname="col6">GrIS runoff</oasis:entry>
         <oasis:entry colname="col7">Basal melt</oasis:entry>
         <oasis:entry colname="col8">Sum</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">40.6 <inline-formula><mml:math id="M189" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.0</oasis:entry>
         <oasis:entry colname="col3">5.7 <inline-formula><mml:math id="M190" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.2</oasis:entry>
         <oasis:entry colname="col4">1.6 <inline-formula><mml:math id="M191" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5</oasis:entry>
         <oasis:entry colname="col5">0.1 <inline-formula><mml:math id="M192" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col6">0.4 <inline-formula><mml:math id="M193" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col7">1.5 <inline-formula><mml:math id="M194" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">49.9 <inline-formula><mml:math id="M195" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.8</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">40.6 <inline-formula><mml:math id="M196" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>
         <oasis:entry colname="col3">4.8 <inline-formula><mml:math id="M197" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.7</oasis:entry>
         <oasis:entry colname="col4">1.2 <inline-formula><mml:math id="M198" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5</oasis:entry>
         <oasis:entry colname="col5">0.1 <inline-formula><mml:math id="M199" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col6">0.4 <inline-formula><mml:math id="M200" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col7">1.5 <inline-formula><mml:math id="M201" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">48.6 <inline-formula><mml:math id="M202" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">40.6 <inline-formula><mml:math id="M203" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>
         <oasis:entry colname="col3">3.7 <inline-formula><mml:math id="M204" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.3</oasis:entry>
         <oasis:entry colname="col4">1.5 <inline-formula><mml:math id="M205" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8</oasis:entry>
         <oasis:entry colname="col5">0.1 <inline-formula><mml:math id="M206" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col6">0.4 <inline-formula><mml:math id="M207" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col7">1.5 <inline-formula><mml:math id="M208" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">47.8 <inline-formula><mml:math id="M209" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">40.6 <inline-formula><mml:math id="M210" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>
         <oasis:entry colname="col3">4.0 <inline-formula><mml:math id="M211" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.1</oasis:entry>
         <oasis:entry colname="col4">7.4 <inline-formula><mml:math id="M212" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.4</oasis:entry>
         <oasis:entry colname="col5">0.3 <inline-formula><mml:math id="M213" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
         <oasis:entry colname="col6">0.9 <inline-formula><mml:math id="M214" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4</oasis:entry>
         <oasis:entry colname="col7">1.5 <inline-formula><mml:math id="M215" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">54.6 <inline-formula><mml:math id="M216" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.8</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">5</oasis:entry>
         <oasis:entry colname="col2">40.9 <inline-formula><mml:math id="M217" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>
         <oasis:entry colname="col3">3.7 <inline-formula><mml:math id="M218" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>
         <oasis:entry colname="col4">28.7 <inline-formula><mml:math id="M219" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10.4</oasis:entry>
         <oasis:entry colname="col5">1.1 <inline-formula><mml:math id="M220" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7</oasis:entry>
         <oasis:entry colname="col6">7.0 <inline-formula><mml:math id="M221" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6.5</oasis:entry>
         <oasis:entry colname="col7">1.7 <inline-formula><mml:math id="M222" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">83.1 <inline-formula><mml:math id="M223" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 19.4</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6</oasis:entry>
         <oasis:entry colname="col2">41.6 <inline-formula><mml:math id="M224" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.0</oasis:entry>
         <oasis:entry colname="col3">3.2 <inline-formula><mml:math id="M225" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.3</oasis:entry>
         <oasis:entry colname="col4">52.0 <inline-formula><mml:math id="M226" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9.5</oasis:entry>
         <oasis:entry colname="col5">11.4 <inline-formula><mml:math id="M227" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.4</oasis:entry>
         <oasis:entry colname="col6">67.6 <inline-formula><mml:math id="M228" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 29.2</oasis:entry>
         <oasis:entry colname="col7">2.6 <inline-formula><mml:math id="M229" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">178.4 <inline-formula><mml:math id="M230" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 45.3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">7</oasis:entry>
         <oasis:entry colname="col2">41.6 <inline-formula><mml:math id="M231" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.1</oasis:entry>
         <oasis:entry colname="col3">3.2 <inline-formula><mml:math id="M232" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.0</oasis:entry>
         <oasis:entry colname="col4">40.5 <inline-formula><mml:math id="M233" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.1</oasis:entry>
         <oasis:entry colname="col5">41.0 <inline-formula><mml:math id="M234" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.0</oasis:entry>
         <oasis:entry colname="col6">194.6 <inline-formula><mml:math id="M235" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 40.5</oasis:entry>
         <oasis:entry colname="col7">3.3 <inline-formula><mml:math id="M236" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">324.2 <inline-formula><mml:math id="M237" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 55.8</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">8</oasis:entry>
         <oasis:entry colname="col2">40.6 <inline-formula><mml:math id="M238" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>
         <oasis:entry colname="col3">4.4 <inline-formula><mml:math id="M239" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.1</oasis:entry>
         <oasis:entry colname="col4">23.9 <inline-formula><mml:math id="M240" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.8</oasis:entry>
         <oasis:entry colname="col5">23.0 <inline-formula><mml:math id="M241" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.1</oasis:entry>
         <oasis:entry colname="col6">109.8 <inline-formula><mml:math id="M242" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 22.6</oasis:entry>
         <oasis:entry colname="col7">3.1 <inline-formula><mml:math id="M243" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">204.9 <inline-formula><mml:math id="M244" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 31.4</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">9</oasis:entry>
         <oasis:entry colname="col2">40.1 <inline-formula><mml:math id="M245" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8</oasis:entry>
         <oasis:entry colname="col3">6.2 <inline-formula><mml:math id="M246" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.6</oasis:entry>
         <oasis:entry colname="col4">9.6 <inline-formula><mml:math id="M247" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.2</oasis:entry>
         <oasis:entry colname="col5">3.7 <inline-formula><mml:math id="M248" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.9</oasis:entry>
         <oasis:entry colname="col6">17.2 <inline-formula><mml:math id="M249" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 12.6</oasis:entry>
         <oasis:entry colname="col7">2.1 <inline-formula><mml:math id="M250" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">78.8 <inline-formula><mml:math id="M251" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 21.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10</oasis:entry>
         <oasis:entry colname="col2">40.3 <inline-formula><mml:math id="M252" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8</oasis:entry>
         <oasis:entry colname="col3">5.8 <inline-formula><mml:math id="M253" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.7</oasis:entry>
         <oasis:entry colname="col4">5.1 <inline-formula><mml:math id="M254" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.8</oasis:entry>
         <oasis:entry colname="col5">0.4 <inline-formula><mml:math id="M255" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
         <oasis:entry colname="col6">1.6 <inline-formula><mml:math id="M256" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.0</oasis:entry>
         <oasis:entry colname="col7">1.5 <inline-formula><mml:math id="M257" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">54.8 <inline-formula><mml:math id="M258" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5.6</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">11</oasis:entry>
         <oasis:entry colname="col2">40.5 <inline-formula><mml:math id="M259" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>
         <oasis:entry colname="col3">5.3 <inline-formula><mml:math id="M260" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.1</oasis:entry>
         <oasis:entry colname="col4">3.8 <inline-formula><mml:math id="M261" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.4</oasis:entry>
         <oasis:entry colname="col5">0.2 <inline-formula><mml:math id="M262" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col6">0.6 <inline-formula><mml:math id="M263" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
         <oasis:entry colname="col7">1.5 <inline-formula><mml:math id="M264" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">51.9 <inline-formula><mml:math id="M265" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.5</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">12</oasis:entry>
         <oasis:entry colname="col2">40.6 <inline-formula><mml:math id="M266" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>
         <oasis:entry colname="col3">4.7 <inline-formula><mml:math id="M267" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.1</oasis:entry>
         <oasis:entry colname="col4">2.4 <inline-formula><mml:math id="M268" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7</oasis:entry>
         <oasis:entry colname="col5">0.1 <inline-formula><mml:math id="M269" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col6">0.5 <inline-formula><mml:math id="M270" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col7">1.5 <inline-formula><mml:math id="M271" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">49.9 <inline-formula><mml:math id="M272" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.8</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean</oasis:entry>
         <oasis:entry colname="col2">40.7 <inline-formula><mml:math id="M273" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>
         <oasis:entry colname="col3">4.6 <inline-formula><mml:math id="M274" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.3</oasis:entry>
         <oasis:entry colname="col4">14.8 <inline-formula><mml:math id="M275" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.6</oasis:entry>
         <oasis:entry colname="col5">6.8 <inline-formula><mml:math id="M276" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.5</oasis:entry>
         <oasis:entry colname="col6">33.4 <inline-formula><mml:math id="M277" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9.4</oasis:entry>
         <oasis:entry colname="col7">1.9 <inline-formula><mml:math id="M278" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
         <oasis:entry colname="col8">102.2 <inline-formula><mml:math id="M279" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16.7</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<table-wrap id="TA3"><label>Table A3</label><caption><p id="d2e4403">Average absolute input from freshwater sources into fjords per region between 1990–2023, in gigatonnes per year (Gt yr<sup>−1</sup>).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Basin</oasis:entry>
         <oasis:entry colname="col2">Solid ice discharge</oasis:entry>
         <oasis:entry colname="col3">Precipitation</oasis:entry>
         <oasis:entry colname="col4">Tundra runoff</oasis:entry>
         <oasis:entry colname="col5">GIC runoff</oasis:entry>
         <oasis:entry colname="col6">GrIS runoff</oasis:entry>
         <oasis:entry colname="col7">Basal melt</oasis:entry>
         <oasis:entry colname="col8">Sum</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">NO</oasis:entry>
         <oasis:entry colname="col2">25</oasis:entry>
         <oasis:entry colname="col3">2</oasis:entry>
         <oasis:entry colname="col4">17</oasis:entry>
         <oasis:entry colname="col5">12</oasis:entry>
         <oasis:entry colname="col6">30</oasis:entry>
         <oasis:entry colname="col7">2</oasis:entry>
         <oasis:entry colname="col8">88</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NW</oasis:entry>
         <oasis:entry colname="col2">98</oasis:entry>
         <oasis:entry colname="col3">2</oasis:entry>
         <oasis:entry colname="col4">5</oasis:entry>
         <oasis:entry colname="col5">2</oasis:entry>
         <oasis:entry colname="col6">35</oasis:entry>
         <oasis:entry colname="col7">4</oasis:entry>
         <oasis:entry colname="col8">146</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NE</oasis:entry>
         <oasis:entry colname="col2">25</oasis:entry>
         <oasis:entry colname="col3">6</oasis:entry>
         <oasis:entry colname="col4">30</oasis:entry>
         <oasis:entry colname="col5">13</oasis:entry>
         <oasis:entry colname="col6">43</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
         <oasis:entry colname="col8">119</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CW</oasis:entry>
         <oasis:entry colname="col2">82</oasis:entry>
         <oasis:entry colname="col3">6</oasis:entry>
         <oasis:entry colname="col4">21</oasis:entry>
         <oasis:entry colname="col5">5</oasis:entry>
         <oasis:entry colname="col6">63</oasis:entry>
         <oasis:entry colname="col7">5</oasis:entry>
         <oasis:entry colname="col8">183</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CE</oasis:entry>
         <oasis:entry colname="col2">74</oasis:entry>
         <oasis:entry colname="col3">14</oasis:entry>
         <oasis:entry colname="col4">22</oasis:entry>
         <oasis:entry colname="col5">11</oasis:entry>
         <oasis:entry colname="col6">57</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
         <oasis:entry colname="col8">179</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SW</oasis:entry>
         <oasis:entry colname="col2">19</oasis:entry>
         <oasis:entry colname="col3">10</oasis:entry>
         <oasis:entry colname="col4">55</oasis:entry>
         <oasis:entry colname="col5">10</oasis:entry>
         <oasis:entry colname="col6">81</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
         <oasis:entry colname="col8">178</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">SE</oasis:entry>
         <oasis:entry colname="col2">139</oasis:entry>
         <oasis:entry colname="col3">14</oasis:entry>
         <oasis:entry colname="col4">26</oasis:entry>
         <oasis:entry colname="col5">19</oasis:entry>
         <oasis:entry colname="col6">49</oasis:entry>
         <oasis:entry colname="col7">4</oasis:entry>
         <oasis:entry colname="col8">251</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Total</oasis:entry>
         <oasis:entry colname="col2">462</oasis:entry>
         <oasis:entry colname="col3">54</oasis:entry>
         <oasis:entry colname="col4">175</oasis:entry>
         <oasis:entry colname="col5">72</oasis:entry>
         <oasis:entry colname="col6">357</oasis:entry>
         <oasis:entry colname="col7">23</oasis:entry>
         <oasis:entry colname="col8">1144</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<table-wrap id="TA4"><label>Table A4</label><caption><p id="d2e4703">Average relative input from freshwater sources into fjords per region between 1990–2023, in percentage (%).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Basins</oasis:entry>
         <oasis:entry colname="col2">Solid ice discharge</oasis:entry>
         <oasis:entry colname="col3">Precipitation</oasis:entry>
         <oasis:entry colname="col4">Tundra runoff</oasis:entry>
         <oasis:entry colname="col5">GIC runoff</oasis:entry>
         <oasis:entry colname="col6">GrIS runoff</oasis:entry>
         <oasis:entry colname="col7">Basal melt</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">NO</oasis:entry>
         <oasis:entry colname="col2">28</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">20</oasis:entry>
         <oasis:entry colname="col5">14</oasis:entry>
         <oasis:entry colname="col6">34</oasis:entry>
         <oasis:entry colname="col7">2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NW</oasis:entry>
         <oasis:entry colname="col2">67</oasis:entry>
         <oasis:entry colname="col3">2</oasis:entry>
         <oasis:entry colname="col4">4</oasis:entry>
         <oasis:entry colname="col5">2</oasis:entry>
         <oasis:entry colname="col6">24</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NE</oasis:entry>
         <oasis:entry colname="col2">21</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">25</oasis:entry>
         <oasis:entry colname="col5">11</oasis:entry>
         <oasis:entry colname="col6">36</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CW</oasis:entry>
         <oasis:entry colname="col2">45</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">11</oasis:entry>
         <oasis:entry colname="col5">3</oasis:entry>
         <oasis:entry colname="col6">35</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CE</oasis:entry>
         <oasis:entry colname="col2">41</oasis:entry>
         <oasis:entry colname="col3">8</oasis:entry>
         <oasis:entry colname="col4">12</oasis:entry>
         <oasis:entry colname="col5">6</oasis:entry>
         <oasis:entry colname="col6">32</oasis:entry>
         <oasis:entry colname="col7">1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SW</oasis:entry>
         <oasis:entry colname="col2">11</oasis:entry>
         <oasis:entry colname="col3">6</oasis:entry>
         <oasis:entry colname="col4">31</oasis:entry>
         <oasis:entry colname="col5">6</oasis:entry>
         <oasis:entry colname="col6">46</oasis:entry>
         <oasis:entry colname="col7">2</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">SE</oasis:entry>
         <oasis:entry colname="col2">55</oasis:entry>
         <oasis:entry colname="col3">6</oasis:entry>
         <oasis:entry colname="col4">10</oasis:entry>
         <oasis:entry colname="col5">8</oasis:entry>
         <oasis:entry colname="col6">19</oasis:entry>
         <oasis:entry colname="col7">2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Total</oasis:entry>
         <oasis:entry colname="col2">40</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">15</oasis:entry>
         <oasis:entry colname="col5">6</oasis:entry>
         <oasis:entry colname="col6">31</oasis:entry>
         <oasis:entry colname="col7">2</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <fig id="FA1"><label>Figure A1</label><caption><p id="d2e4960">Fjord mask used in this study (dark red) and large “fjord” mask used for sensitivity, including islands and small bays (light red). The fjord area is 75 <inline-formula><mml:math id="M281" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>3</sup> km<sup>2</sup> in the default case and 140 <inline-formula><mml:math id="M284" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<sup>3</sup> km<sup>2</sup> when also large bays are taken into account.</p></caption>
        
        <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f07.png"/>

      </fig>

<fig id="FA2"><label>Figure A2</label><caption><p id="d2e5025">Seasonal cycle of the relative contribution of sources to the total freshwater input between 2009–2023 per region, with (fjord) precipitation from CARRA-West.</p></caption>
        
        <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f08.png"/>

      </fig>

      <fig id="FA3"><label>Figure A3</label><caption><p id="d2e5039">Time series of annual freshwater input per region between 1990–2023, with GIC and GrIS runoff from MAR.</p></caption>
        
        <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f09.png"/>

      </fig>

<fig id="FA4"><label>Figure A4</label><caption><p id="d2e5053">Average seasonal cycle of Greenland total freshwater input based on monthly averages with solid ice discharge by <xref ref-type="bibr" rid="bib1.bibx29" id="text.71"/> (blue), GrIS runoff (orange), GIC runoff (purple), tundra runoff (green) and fjord precipitation (red), and basal melt (brown). <bold>(a)</bold> Average seasonal cycle for 1990–2004 (dashed) and 2005–2023 (solid). Shading represents the standard deviation due to interannual variability. <bold>(b)</bold> As in a but with a log scale. <bold>(c)</bold> Seasonal cycle of the relative source contributions to the total freshwater input between 2009–2023.</p></caption>
        
        <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f10.png"/>

      </fig>

      <fig id="FA5"><label>Figure A5</label><caption><p id="d2e5078">Seasonal cycle of the relative contribution of sources to the total freshwater input between 2009–2023 per region but with solid ice discharge by <xref ref-type="bibr" rid="bib1.bibx29" id="text.72"/>.</p></caption>
        
        <graphic xlink:href="https://tc.copernicus.org/articles/19/3897/2025/tc-19-3897-2025-f11.png"/>

      </fig>


</app>
  </app-group><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d2e5098">The (downscaled) RACMO and MAR datasets presented in this paper were previously published in <xref ref-type="bibr" rid="bib1.bibx46" id="text.73"/> and <xref ref-type="bibr" rid="bib1.bibx9" id="text.74"/>. The 1 km RACMO and MAR data used in this paper, as well as the region and fjord masks, are available from <uri>https://doi.org/10.5281/zenodo.15013761</uri> <xref ref-type="bibr" rid="bib1.bibx63" id="paren.75"/>, respectively. The solid ice discharge data are available from <xref ref-type="bibr" rid="bib1.bibx35" id="text.76"/> and <xref ref-type="bibr" rid="bib1.bibx29" id="text.77"/> (<uri>https://doi.org/10.22008/promice/data/ice_discharge</uri>, <xref ref-type="bibr" rid="bib1.bibx33" id="altparen.78"/>; <uri>https://doi.org/10.5061/dryad.qrfj6q5cb</uri>, <xref ref-type="bibr" rid="bib1.bibx28" id="altparen.79"/>). The CARRA data are available through <uri>https://doi.org/10.24381/cds.713858f6</uri> <xref ref-type="bibr" rid="bib1.bibx52" id="paren.80"/>. The code and data required for figures are available from <uri>https://github.com/AnnekeV/Varia-Fresh-Fjords</uri> and <uri>https://doi.org/10.5281/zenodo.15013761</uri>, respectively <xref ref-type="bibr" rid="bib1.bibx63" id="paren.81"/>. Data analysis and figure plotting were done using Python 3.12, and the map was made using QGIS (<uri>https://www.qgis.org</uri>, <xref ref-type="bibr" rid="bib1.bibx61 bib1.bibx50" id="altparen.82"/>).</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e5157">ALV, WJvdB, and MRvdB designed the study, and ALV carried it out. BN provided regional climate model data.  All co-authors were involved in the scientific discussions that led to this study. ALV prepared the manuscript with contributions from all co-authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e5163">At least one of the (co-)authors is a member of the editorial board of <italic>The Cryosphere</italic>. The peer-review process was guided by an independent editor, and the authors also have no other competing interests to declare.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e5172">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d2e5178">This article is part of the special issue “Northern hydrology in transition – impacts of a changing cryosphere on water resources, ecosystems, and humans (TC/HESS inter-journal SI)”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e5184">Anneke L. Vries acknowledges the use of LanguageTool for suggesting corrections for spelling and grammar mistakes in the final stage of preparing this paper <xref ref-type="bibr" rid="bib1.bibx32" id="paren.83"/>. Brice Noël is a research associate of the Fonds de la Recherche Scientifique de Belgique – FNRS (F.R.S.–FNRS).</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e5192">Anneke L. Vries and Lorenz Meire were funded by the UU-NIOZ project “Greenland fjords as gateways between the ice sheet and the ocean”  and the Greenland Climate Research Center. Michiel R. van den Broeke is supported by EMBRACER (summit grant SUMMIT.1.034), financed by the Netherlands Organisation for Scientific Research (NWO), and the Netherlands Earth System Science Center (NESSC), financed by the Dutch Ministry of Education, Culture and Science.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e5198">This paper was edited by Andrea Popp and reviewed by Ken Mankoff and one anonymous referee.</p>
  </notes><ref-list>
    <title>References</title>

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