Articles | Volume 13, issue 1
https://doi.org/10.5194/tc-13-157-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-157-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jan 2019
Research article |
| 22 Jan 2019
| 22 Jan 2019
The optical characteristics and sources of chromophoric dissolved organic matter (CDOM) in seasonal snow of northwestern China
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education,
College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education,
College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Jun Liu
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education,
College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education,
College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
School of Environmental Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
Graduate School of Environmental Studies, Nagoya University, Nagoya 464-8601, Japan
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education,
College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
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Xin Wang, Wei Pu, Yong Ren, Xuelei Zhang, Xueying Zhang, Jinsen Shi, Hongchun Jin, Mingkai Dai, and Quanliang Chen
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Related subject area
Discipline: Snow | Subject: Seasonal Snow
A random-forest-derived 35-year snow phenology record reveals climate trends in the Yukon River Basin
Insights into microphysical and optical properties of typical mineral dust within urban snowpack via wet and dry deposition in Changchun, northeastern China
Dynamic identification of snow phenology in the Northern Hemisphere
Trends in the annual snow melt-out day over the French Alps and Pyrenees from 38 years of high-resolution satellite data (1986–2023)
Sublimation measurements of tundra and taiga snowpack in Alaska
SPASS – new gridded climatological snow datasets for Switzerland: Potential and limitations
An examination of changes in autumn Eurasian snow cover and its relationship with the winter Arctic Oscillation using 20th Century Reanalysis version 3
Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend
Influence of Snow Spatial Variability on Cosmic Ray Neutron SWE
Benchmarking of snow water equivalent (SWE) products based on outcomes of the SnowPEx+ Intercomparison Project
Snow depth sensitivity to mean temperature, precipitation, and elevation in the Austrian and Swiss Alps
Use of multiple reference data sources to cross-validate gridded snow water equivalent products over North America
Leveraging Citizen Science, LiDAR, and Machine Learning for Snow Depth Estimation in Complex Terrain Environments
Characterization of non-Gaussianity in the snow distributions of various landscapes
A simple snow temperature index model exposes discrepancies between reanalysis snow water equivalent products
A Prototype Passive Microwave Retrieval Algorithm for Tundra Snow Density
Which global reanalysis dataset has better representativeness in snow cover on the Tibetan Plateau?
Snow depth in high-resolution regional climate model simulations over southern Germany – suitable for extremes and impact-related research?
Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry
Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera
Evaluation of snow cover properties in ERA5 and ERA5-Land with several satellite-based datasets in the Northern Hemisphere in spring 1982–2018
Multi-decadal analysis of past winter temperature, precipitation and snow cover data in the European Alps from reanalyses, climate models and observational datasets
Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas
Change in the potential snowfall phenology: past, present, and future in the Chinese Tianshan mountainous region, Central Asia
The benefits of homogenising snow depth series – Impacts on decadal trends and extremes for Switzerland
Assessing the seasonal evolution of snow depth spatial variability and scaling in complex mountain terrain
Impact of measured and simulated tundra snowpack properties on heat transfer
Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods
Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network
Evaluation of Northern Hemisphere snow water equivalent in CMIP6 models during 1982–2014
Multilayer observation and estimation of the snowpack cold content in a humid boreal coniferous forest of eastern Canada
Spatiotemporal distribution of seasonal snow water equivalent in High Mountain Asia from an 18-year Landsat–MODIS era snow reanalysis dataset
Local-scale variability of seasonal mean and extreme values of in situ snow depth and snowfall measurements
Observed snow depth trends in the European Alps: 1971 to 2019
Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling
Quantification of the radiative impact of light-absorbing particles during two contrasted snow seasons at Col du Lautaret (2058 m a.s.l., French Alps)
Snow depth estimation and historical data reconstruction over China based on a random forest machine learning approach
Evaluation of long-term Northern Hemisphere snow water equivalent products
Towards a webcam-based snow cover monitoring network: methodology and evaluation
Simulated single-layer forest canopies delay Northern Hemisphere snowmelt
Converting snow depth to snow water equivalent using climatological variables
Avalanches and micrometeorology driving mass and energy balance of the lowest perennial ice field of the Alps: a case study
Brief Communication: Early season snowpack loss and implications for oversnow vehicle recreation travel planning
Multi-component ensembles of future meteorological and natural snow conditions for 1500 m altitude in the Chartreuse mountain range, Northern French Alps
Caleb G. Pan, Kristofer Lasko, Sean P. Griffin, John S. Kimball, Jinyang Du, Tate G. Meehan, and Peter B. Kirchner
The Cryosphere, 19, 2797–2819, https://doi.org/10.5194/tc-19-2797-2025, https://doi.org/10.5194/tc-19-2797-2025, 2025
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This study examines 35 years of snow cover changes in Alaska’s Yukon River Basin using machine learning to track snowmelt timing and disappearance. Results show snow is melting earlier and disappearing faster due to rising temperatures, highlighting the effects of climate change on water resources, ecosystems, and communities. The findings improve understanding of snow dynamics and provide critical insights for addressing climate-driven challenges in the region.
Tenglong Shi, Jiayao Wang, Daizhou Zhang, Jiecan Cui, Zihang Wang, Yue Zhou, Wei Pu, Yang Bai, Zhigang Han, Meng Liu, Yanbiao Liu, Hongbin Xie, Minghui Yang, Ying Li, Meng Gao, and Xin Wang
The Cryosphere, 19, 2821–2835, https://doi.org/10.5194/tc-19-2821-2025, https://doi.org/10.5194/tc-19-2821-2025, 2025
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This study examines the properties of dust in snow in Changchun, China, using advanced technology to analyze its size, shape, and light absorption. We found that dust composition affects how much heat is absorbed by snow, with certain minerals, such as hematite, making snowmelt faster. Our research highlights the importance of creating clear standards for classifying dust, which could improve climate models and field observations. This work helps better understand dust's role in climate change.
Le Wang, Xin Miao, Xinyun Hu, Yizhuo Li, Bo Qiu, Jun Ge, and Weidong Guo
The Cryosphere, 19, 2733–2750, https://doi.org/10.5194/tc-19-2733-2025, https://doi.org/10.5194/tc-19-2733-2025, 2025
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Snow phenology is a crucial indicator for assessing seasonal changes in snow. In this work, we find that snow phenology is significantly impacted by the datasets and methods used, and current methods often overlook the spatial and temporal variability in snow across the Northern Hemisphere. To address this, we develop a dynamic-threshold method, which contributes to better representing the seasonal changes in snow cover across the Northern Hemisphere, especially on the Tibetan Plateau.
Zacharie Barrou Dumont, Simon Gascoin, Jordi Inglada, Andreas Dietz, Jonas Köhler, Matthieu Lafaysse, Diego Monteiro, Carlo Carmagnola, Arthur Bayle, Jean-Pierre Dedieu, Olivier Hagolle, and Philippe Choler
The Cryosphere, 19, 2407–2429, https://doi.org/10.5194/tc-19-2407-2025, https://doi.org/10.5194/tc-19-2407-2025, 2025
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We generated annual maps of snow melt-out days at 20 m resolution over a period of 38 years from 10 different satellites. This study fills a knowledge gap regarding the evolution of mountain snow in Europe by covering a much longer period and characterizing trends at much higher resolutions than previous studies. We found a trend for earlier melt-out with average reductions of 5.51 d per decade over the French Alps and 4.04 d per decade over the Pyrenees for the period 1986–2023.
Kelsey A. Stockert, Eugénie S. Euskirchen, and Svetlana L. Stuefer
The Cryosphere, 19, 1739–1755, https://doi.org/10.5194/tc-19-1739-2025, https://doi.org/10.5194/tc-19-1739-2025, 2025
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Sublimation is the hidden portion of the water cycle where snow changes phase directly to water vapor, skipping the liquid state. Though sublimation is difficult to measure, especially in remote regions such as Arctic and subarctic Alaska where this study took place, our measurements confirm that sublimation is a substantial component of the annual water cycle. Results from this research contribute to knowledge of how site conditions affect sublimation rates and the winter hydrologic cycle.
Christoph Marty, Adrien Michel, Tobias Jonas, Cynthia Steijn, Regula Muelchi, and Sven Kotlarski
EGUsphere, https://doi.org/10.5194/egusphere-2025-413, https://doi.org/10.5194/egusphere-2025-413, 2025
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This work presents the first long-term (since 1962), daily, 1 km gridded dataset of snow depth and water storage for Switzerland. Its quality was assessed by comparing yearly, monthly, and weekly values to a higher-quality model and in-situ measurements. Results show good overall performance, though some limitations exist at low elevations and short timescales. Despite this, the dataset effectively captures trends, offering valuable insights for climate monitoring and elevation-based changes.
Gareth J. Marshall
The Cryosphere, 19, 663–683, https://doi.org/10.5194/tc-19-663-2025, https://doi.org/10.5194/tc-19-663-2025, 2025
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Eurasian autumn snow cover (SC) can influence Northern Hemisphere weather in the following winter by affecting the Arctic Oscillation (AO) mode of atmospheric variability. Using data back to 1836, we show that there have been significant decreases in October and November SC. For the first time, we describe a robust relationship between September SC in northeastern Eurasia and the AO. In addition, the longer dataset reveals the temporal variability in previously identified SC–AO relationships.
Vincenzo Capozzi, Francesco Serrapica, Armando Rocco, Clizia Annella, and Giorgio Budillon
The Cryosphere, 19, 565–595, https://doi.org/10.5194/tc-19-565-2025, https://doi.org/10.5194/tc-19-565-2025, 2025
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This “journey through time” discovers historical information about snow precipitation in the Italian Apennines. In this area, in the second half of the past century, a gradual decline in snow persistence on the ground, as well as in the frequency of occurrence of snowfall events, has been observed, especially in sites located above 1000 m above sea level. The old data rescued in this study strongly enhance our knowledge about past snowfall variability and climate in the Mediterranean area.
Haejo Kim, Eric Sproles, and Samuel E. Tuttle
EGUsphere, https://doi.org/10.5194/egusphere-2025-31, https://doi.org/10.5194/egusphere-2025-31, 2025
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Monitoring of a shallow and highly variable snowpack’s water content has been shown to be reliable with Cosmic Ray Neutron Sensing (CRNS). After hundreds of simulations, we show a CRNS instrument is best placed near areas of low snow that are nearby regions of high for an accurate estimate of the prairie snowpack’s water content. The snow water equivalent from a CRNS was 2 to 5 times more likely to be representative of the prairie snow, compared to traditional snow monitoring methods.
Lawrence Mudryk, Colleen Mortimer, Chris Derksen, Aleksandra Elias Chereque, and Paul Kushner
The Cryosphere, 19, 201–218, https://doi.org/10.5194/tc-19-201-2025, https://doi.org/10.5194/tc-19-201-2025, 2025
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We evaluate and rank 23 different datasets on their ability to accurately estimate historical snow amounts. The evaluation uses new a set of surface snow measurements with improved spatial coverage, enabling evaluation across both mountainous and nonmountainous regions. Performance measures vary tremendously across the products: while most perform reasonably in nonmountainous regions, accurate representation of snow amounts in mountainous regions and of historical trends is much more variable.
Matthew Switanek, Gernot Resch, Andreas Gobiet, Daniel Günther, Christoph Marty, and Wolfgang Schöner
The Cryosphere, 18, 6005–6026, https://doi.org/10.5194/tc-18-6005-2024, https://doi.org/10.5194/tc-18-6005-2024, 2024
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Snow depth plays an important role in water resources, mountain tourism, and hazard management across the European Alps. Our study uses station-based historical observations to quantify how changes in temperature and precipitation affect average seasonal snow depth. We find that the relationship between these variables has been surprisingly robust over the last 120 years. This allows us to more accurately estimate how future climate will affect seasonal snow depth in different elevation zones.
Colleen Mortimer, Lawrence Mudryk, Eunsang Cho, Chris Derksen, Mike Brady, and Carrie Vuyovich
The Cryosphere, 18, 5619–5639, https://doi.org/10.5194/tc-18-5619-2024, https://doi.org/10.5194/tc-18-5619-2024, 2024
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Ground measurements of snow water equivalent (SWE) are vital for understanding the accuracy of large-scale estimates from satellites and climate models. We compare two types of measurements – snow courses and airborne gamma SWE estimates – and analyze how measurement type impacts the accuracy assessment of gridded SWE products. We use this analysis to produce a combined reference SWE dataset for North America, applicable for future gridded SWE product evaluations and other applications.
Dane Liljestrand, Ryan Johnson, Bethany Neilson, Patrick Strong, and Elizabeth Cotter
EGUsphere, https://doi.org/10.5194/egusphere-2024-3545, https://doi.org/10.5194/egusphere-2024-3545, 2024
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This work introduces a model specifically designed for high-resolution snow depth estimation, leveraging citizen-science snow observations and snow-off LiDAR terrain features to provide an accessible and cost-effective method for snowpack modeling in regions lacking high-quality data products or collection networks. This work demonstrates that reliable basin-scale snow depth estimates can be achieved in difficult environments with very few observations and low institutional costs.
Noriaki Ohara, Andrew D. Parsekian, Benjamin M. Jones, Rodrigo C. Rangel, Kenneth M. Hinkel, and Rui A. P. Perdigão
The Cryosphere, 18, 5139–5152, https://doi.org/10.5194/tc-18-5139-2024, https://doi.org/10.5194/tc-18-5139-2024, 2024
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Snow distribution characterization is essential for accurate snow water estimation for water resource prediction from existing in situ observations and remote-sensing data at a finite spatial resolution. Four different observed snow distribution datasets were analyzed for Gaussianity. We found that non-Gaussianity of snow distribution is a signature of the wind redistribution effect. Generally, seasonal snowpack can be approximated well by a Gaussian distribution for a fully snow-covered area.
Aleksandra Elias Chereque, Paul J. Kushner, Lawrence Mudryk, Chris Derksen, and Colleen Mortimer
The Cryosphere, 18, 4955–4969, https://doi.org/10.5194/tc-18-4955-2024, https://doi.org/10.5194/tc-18-4955-2024, 2024
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We look at three commonly used snow depth datasets that are produced through a combination of snow modelling and historical measurements (reanalysis). When compared with each other, these datasets have differences that arise for various reasons. We show that a simple snow model can be used to examine these inconsistencies and highlight issues. This method indicates that one of the complex datasets should be excluded from further studies.
Jeffrey J. Welch and Richard E. J. Kelly
EGUsphere, https://doi.org/10.5194/egusphere-2024-2928, https://doi.org/10.5194/egusphere-2024-2928, 2024
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Snow density plays an important role in natural and human systems but current methods for estimating snow density are limited, especially in the Arctic. This work presents a new method using satellite data to estimate snow density in remote areas. An experiment was conducted in the Canadian Arctic to evaluate this method and it appears to replicate density estimates from manual sampling well. With more work this method could be applied to estimate snow density across large areas of the Arctic.
Shirui Yan, Yang Chen, Yaliang Hou, Kexin Liu, Xuejing Li, Yuxuan Xing, Dongyou Wu, Jiecan Cui, Yue Zhou, Wei Pu, and Xin Wang
The Cryosphere, 18, 4089–4109, https://doi.org/10.5194/tc-18-4089-2024, https://doi.org/10.5194/tc-18-4089-2024, 2024
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The snow cover over the Tibetan Plateau (TP) plays a role in climate and hydrological systems, yet there are uncertainties in snow cover fraction (SCF) estimations within reanalysis datasets. This study utilized the Snow Property Inversion from Remote Sensing (SPIReS) SCF data to assess the accuracy of eight widely used reanalysis SCF datasets over the TP. Factors contributing to uncertainties were analyzed, and a combined averaging method was employed to provide optimized SCF simulations.
Benjamin Poschlod and Anne Sophie Daloz
The Cryosphere, 18, 1959–1981, https://doi.org/10.5194/tc-18-1959-2024, https://doi.org/10.5194/tc-18-1959-2024, 2024
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Information about snow depth is important within climate research but also many other sectors, such as tourism, mobility, civil engineering, and ecology. Climate models often feature a spatial resolution which is too coarse to investigate snow depth. Here, we analyse high-resolution simulations and identify added value compared to a coarser-resolution state-of-the-art product. Also, daily snow depth extremes are well reproduced by two models.
Zachary Hoppinen, Shadi Oveisgharan, Hans-Peter Marshall, Ross Mower, Kelly Elder, and Carrie Vuyovich
The Cryosphere, 18, 575–592, https://doi.org/10.5194/tc-18-575-2024, https://doi.org/10.5194/tc-18-575-2024, 2024
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We used changes in radar echo travel time from multiple airborne flights to estimate changes in snow depths across Idaho for two winters. We compared our radar-derived retrievals to snow pits, weather stations, and a 100 m resolution numerical snow model. We had a strong Pearson correlation and root mean squared error of 10 cm relative to in situ measurements. Our retrievals also correlated well with our model, especially in regions of dry snow and low tree coverage.
Yiwen Fang, Yufei Liu, Dongyue Li, Haorui Sun, and Steven A. Margulis
The Cryosphere, 17, 5175–5195, https://doi.org/10.5194/tc-17-5175-2023, https://doi.org/10.5194/tc-17-5175-2023, 2023
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Using newly developed snow reanalysis datasets as references, snow water storage is at high uncertainty among commonly used global products in the Andes and low-resolution products in the western United States, where snow is the key element of water resources. In addition to precipitation, elevation differences and model mechanism variances drive snow uncertainty. This work provides insights for research applying these products and generating future products in areas with limited in situ data.
Kerttu Kouki, Kari Luojus, and Aku Riihelä
The Cryosphere, 17, 5007–5026, https://doi.org/10.5194/tc-17-5007-2023, https://doi.org/10.5194/tc-17-5007-2023, 2023
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We evaluated snow cover properties in state-of-the-art reanalyses (ERA5 and ERA5-Land) with satellite-based datasets. Both ERA5 and ERA5-Land overestimate snow mass, whereas albedo estimates are more consistent between the datasets. Snow cover extent (SCE) is accurately described in ERA5-Land, while ERA5 shows larger SCE than the satellite-based datasets. The trends in snow mass, SCE, and albedo are mostly negative in 1982–2018, and the negative trends become more apparent when spring advances.
Diego Monteiro and Samuel Morin
The Cryosphere, 17, 3617–3660, https://doi.org/10.5194/tc-17-3617-2023, https://doi.org/10.5194/tc-17-3617-2023, 2023
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Beyond directly using in situ observations, often sparsely available in mountain regions, climate model simulations and so-called reanalyses are increasingly used for climate change impact studies. Here we evaluate such datasets in the European Alps from 1950 to 2020, with a focus on snow cover information and its main drivers: air temperature and precipitation. In terms of variability and trends, we identify several limitations and provide recommendations for future use of these datasets.
Leon J. Bührle, Mauro Marty, Lucie A. Eberhard, Andreas Stoffel, Elisabeth D. Hafner, and Yves Bühler
The Cryosphere, 17, 3383–3408, https://doi.org/10.5194/tc-17-3383-2023, https://doi.org/10.5194/tc-17-3383-2023, 2023
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Information on the snow depth distribution is crucial for numerous applications in high-mountain regions. However, only specific measurements can accurately map the present variability of snow depths within complex terrain. In this study, we show the reliable processing of images from aeroplane to large (> 100 km2) detailed and accurate snow depth maps around Davos (CH). We use these maps to describe the existing snow depth distribution, other special features and potential applications.
Xuemei Li, Xinyu Liu, Kaixin Zhao, Xu Zhang, and Lanhai Li
The Cryosphere, 17, 2437–2453, https://doi.org/10.5194/tc-17-2437-2023, https://doi.org/10.5194/tc-17-2437-2023, 2023
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Quantifying change in the potential snowfall phenology (PSP) is an important area of research for understanding regional climate change past, present, and future. However, few studies have focused on the PSP and its change in alpine mountainous regions. We proposed three innovative indicators to characterize the PSP and its spatial–temporal variation. Our study provides a novel approach to understanding PSP in alpine mountainous regions and can be easily extended to other snow-dominated regions.
Moritz Buchmann, Gernot Resch, Michael Begert, Stefan Brönnimann, Barbara Chimani, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 17, 653–671, https://doi.org/10.5194/tc-17-653-2023, https://doi.org/10.5194/tc-17-653-2023, 2023
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Our current knowledge of spatial and temporal snow depth trends is based almost exclusively on time series of non-homogenised observational data. However, like other long-term series from observations, they are susceptible to inhomogeneities that can affect the trends and even change the sign. To assess the relevance of homogenisation for daily snow depths, we investigated its impact on trends and changes in extreme values of snow indices between 1961 and 2021 in the Swiss observation network.
Zachary S. Miller, Erich H. Peitzsch, Eric A. Sproles, Karl W. Birkeland, and Ross T. Palomaki
The Cryosphere, 16, 4907–4930, https://doi.org/10.5194/tc-16-4907-2022, https://doi.org/10.5194/tc-16-4907-2022, 2022
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Snow depth varies across steep, complex mountain landscapes due to interactions between dynamic natural processes. Our study of a winter time series of high-resolution snow depth maps found that spatial resolutions greater than 0.5 m do not capture the complete patterns of snow depth spatial variability at a couloir study site in the Bridger Range of Montana, USA. The results of this research have the potential to reduce uncertainty associated with snowpack and snow water resource analysis.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Melody Sandells, Chris Derksen, Branden Walker, Gabriel Hould Gosselin, Oliver Sonnentag, Richard Essery, Richard Kelly, Phillip Marsh, Joshua King, and Julia Boike
The Cryosphere, 16, 4201–4222, https://doi.org/10.5194/tc-16-4201-2022, https://doi.org/10.5194/tc-16-4201-2022, 2022
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Measurements of the properties of the snow and soil were compared to simulations of the Community Land Model to see how well the model represents snow insulation. Simulations underestimated snow thermal conductivity and wintertime soil temperatures. We test two approaches to reduce the transfer of heat through the snowpack and bring simulated soil temperatures closer to measurements, with an alternative parameterisation of snow thermal conductivity being more appropriate.
Moritz Buchmann, John Coll, Johannes Aschauer, Michael Begert, Stefan Brönnimann, Barbara Chimani, Gernot Resch, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 16, 2147–2161, https://doi.org/10.5194/tc-16-2147-2022, https://doi.org/10.5194/tc-16-2147-2022, 2022
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Knowledge about inhomogeneities in a data set is important for any subsequent climatological analysis. We ran three well-established homogenization methods and compared the identified break points. By only treating breaks as valid when detected by at least two out of three methods, we enhanced the robustness of our results. We found 45 breaks within 42 of 184 investigated series; of these 70 % could be explained by events recorded in the station history.
Bertrand Cluzet, Matthieu Lafaysse, César Deschamps-Berger, Matthieu Vernay, and Marie Dumont
The Cryosphere, 16, 1281–1298, https://doi.org/10.5194/tc-16-1281-2022, https://doi.org/10.5194/tc-16-1281-2022, 2022
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The mountainous snow cover is highly variable at all temporal and spatial scales. Snow cover models suffer from large errors, while snowpack observations are sparse. Data assimilation combines them into a better estimate of the snow cover. A major challenge is to propagate information from observed into unobserved areas. This paper presents a spatialized version of the particle filter, in which information from in situ snow depth observations is successfully used to constrain nearby simulations.
Kerttu Kouki, Petri Räisänen, Kari Luojus, Anna Luomaranta, and Aku Riihelä
The Cryosphere, 16, 1007–1030, https://doi.org/10.5194/tc-16-1007-2022, https://doi.org/10.5194/tc-16-1007-2022, 2022
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We analyze state-of-the-art climate models’ ability to describe snow mass and whether biases in modeled temperature or precipitation can explain the discrepancies in snow mass. In winter, biases in precipitation are the main factor affecting snow mass, while in spring, biases in temperature becomes more important, which is an expected result. However, temperature or precipitation cannot explain all snow mass discrepancies. Other factors, such as models’ structural errors, are also significant.
Achut Parajuli, Daniel F. Nadeau, François Anctil, and Marco Alves
The Cryosphere, 15, 5371–5386, https://doi.org/10.5194/tc-15-5371-2021, https://doi.org/10.5194/tc-15-5371-2021, 2021
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Cold content is the energy required to attain an isothermal (0 °C) state and resulting in the snow surface melt. This study focuses on determining the multi-layer cold content (30 min time steps) relying on field measurements, snow temperature profile, and empirical formulation in four distinct forest sites of Montmorency Forest, eastern Canada. We present novel research where the effect of forest structure, local topography, and meteorological conditions on cold content variability is explored.
Yufei Liu, Yiwen Fang, and Steven A. Margulis
The Cryosphere, 15, 5261–5280, https://doi.org/10.5194/tc-15-5261-2021, https://doi.org/10.5194/tc-15-5261-2021, 2021
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We examined the spatiotemporal distribution of stored water in the seasonal snowpack over High Mountain Asia, based on a new snow reanalysis dataset. The dataset was derived utilizing satellite-observed snow information, which spans across 18 water years, at a high spatial (~ 500 m) and temporal (daily) resolution. Snow mass and snow storage distribution over space and time are analyzed in this paper, which brings new insights into understanding the snowpack variability over this region.
Moritz Buchmann, Michael Begert, Stefan Brönnimann, and Christoph Marty
The Cryosphere, 15, 4625–4636, https://doi.org/10.5194/tc-15-4625-2021, https://doi.org/10.5194/tc-15-4625-2021, 2021
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We investigated the impacts of local-scale variations by analysing snow climate indicators derived from parallel snow measurements. We found the largest relative inter-pair differences for all indicators in spring and the smallest in winter. The findings serve as an important basis for our understanding of uncertainties of commonly used snow indicators and provide, in combination with break-detection methods, the groundwork in view of any homogenization efforts regarding snow time series.
Michael Matiu, Alice Crespi, Giacomo Bertoldi, Carlo Maria Carmagnola, Christoph Marty, Samuel Morin, Wolfgang Schöner, Daniele Cat Berro, Gabriele Chiogna, Ludovica De Gregorio, Sven Kotlarski, Bruno Majone, Gernot Resch, Silvia Terzago, Mauro Valt, Walter Beozzo, Paola Cianfarra, Isabelle Gouttevin, Giorgia Marcolini, Claudia Notarnicola, Marcello Petitta, Simon C. Scherrer, Ulrich Strasser, Michael Winkler, Marc Zebisch, Andrea Cicogna, Roberto Cremonini, Andrea Debernardi, Mattia Faletto, Mauro Gaddo, Lorenzo Giovannini, Luca Mercalli, Jean-Michel Soubeyroux, Andrea Sušnik, Alberto Trenti, Stefano Urbani, and Viktor Weilguni
The Cryosphere, 15, 1343–1382, https://doi.org/10.5194/tc-15-1343-2021, https://doi.org/10.5194/tc-15-1343-2021, 2021
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The first Alpine-wide assessment of station snow depth has been enabled by a collaborative effort of the research community which involves more than 30 partners, 6 countries, and more than 2000 stations. It shows how snow in the European Alps matches the climatic zones and gives a robust estimate of observed changes: stronger decreases in the snow season at low elevations and in spring at all elevations, however, with considerable regional differences.
Rhae Sung Kim, Sujay Kumar, Carrie Vuyovich, Paul Houser, Jessica Lundquist, Lawrence Mudryk, Michael Durand, Ana Barros, Edward J. Kim, Barton A. Forman, Ethan D. Gutmann, Melissa L. Wrzesien, Camille Garnaud, Melody Sandells, Hans-Peter Marshall, Nicoleta Cristea, Justin M. Pflug, Jeremy Johnston, Yueqian Cao, David Mocko, and Shugong Wang
The Cryosphere, 15, 771–791, https://doi.org/10.5194/tc-15-771-2021, https://doi.org/10.5194/tc-15-771-2021, 2021
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High SWE uncertainty is observed in mountainous and forested regions, highlighting the need for high-resolution snow observations in these regions. Substantial uncertainty in snow water storage in Tundra regions and the dominance of water storage in these regions points to the need for high-accuracy snow estimation. Finally, snow measurements during the melt season are most needed at high latitudes, whereas observations at near peak snow accumulations are most beneficial over the midlatitudes.
François Tuzet, Marie Dumont, Ghislain Picard, Maxim Lamare, Didier Voisin, Pierre Nabat, Mathieu Lafaysse, Fanny Larue, Jesus Revuelto, and Laurent Arnaud
The Cryosphere, 14, 4553–4579, https://doi.org/10.5194/tc-14-4553-2020, https://doi.org/10.5194/tc-14-4553-2020, 2020
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This study presents a field dataset collected over 30 d from two snow seasons at a Col du Lautaret site (French Alps). The dataset compares different measurements or estimates of light-absorbing particle (LAP) concentrations in snow, highlighting a gap in the current understanding of the measurement of these quantities. An ensemble snowpack model is then evaluated for this dataset estimating that LAPs shorten each snow season by around 10 d despite contrasting meteorological conditions.
Jianwei Yang, Lingmei Jiang, Kari Luojus, Jinmei Pan, Juha Lemmetyinen, Matias Takala, and Shengli Wu
The Cryosphere, 14, 1763–1778, https://doi.org/10.5194/tc-14-1763-2020, https://doi.org/10.5194/tc-14-1763-2020, 2020
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There are many challenges for accurate snow depth estimation using passive microwave data. Machine learning (ML) techniques are deemed to be powerful tools for establishing nonlinear relations between independent variables and a given target variable. In this study, we investigate the potential capability of the random forest (RF) model on snow depth estimation at temporal and spatial scales. The result indicates that the fitted RF algorithms perform better on temporal than spatial scales.
Colleen Mortimer, Lawrence Mudryk, Chris Derksen, Kari Luojus, Ross Brown, Richard Kelly, and Marco Tedesco
The Cryosphere, 14, 1579–1594, https://doi.org/10.5194/tc-14-1579-2020, https://doi.org/10.5194/tc-14-1579-2020, 2020
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Existing stand-alone passive microwave SWE products have markedly different climatological SWE patterns compared to reanalysis-based datasets. The AMSR-E SWE has low spatial and temporal correlations with the four reanalysis-based products evaluated and GlobSnow and perform poorly in comparisons with snow transect data from Finland, Russia, and Canada. There is better agreement with in situ data when multiple SWE products, excluding the stand-alone passive microwave SWE products, are combined.
Céline Portenier, Fabia Hüsler, Stefan Härer, and Stefan Wunderle
The Cryosphere, 14, 1409–1423, https://doi.org/10.5194/tc-14-1409-2020, https://doi.org/10.5194/tc-14-1409-2020, 2020
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We present a method to derive snow cover maps from freely available webcam images in the Swiss Alps. With marginal manual user input, we can transform a webcam image into a georeferenced map and therewith perform snow cover analyses with a high spatiotemporal resolution over a large area. Our evaluation has shown that webcams could not only serve as a reference for improved validation of satellite-based approaches, but also complement satellite-based snow cover retrieval.
Markus Todt, Nick Rutter, Christopher G. Fletcher, and Leanne M. Wake
The Cryosphere, 13, 3077–3091, https://doi.org/10.5194/tc-13-3077-2019, https://doi.org/10.5194/tc-13-3077-2019, 2019
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Vegetation is often represented by a single layer in global land models. Studies have found deficient simulation of thermal radiation beneath forest canopies when represented by single-layer vegetation. This study corrects thermal radiation in forests for a global land model using single-layer vegetation in order to assess the effect of deficient thermal radiation on snow cover and snowmelt. Results indicate that single-layer vegetation causes snow in forests to be too cold and melt too late.
David F. Hill, Elizabeth A. Burakowski, Ryan L. Crumley, Julia Keon, J. Michelle Hu, Anthony A. Arendt, Katreen Wikstrom Jones, and Gabriel J. Wolken
The Cryosphere, 13, 1767–1784, https://doi.org/10.5194/tc-13-1767-2019, https://doi.org/10.5194/tc-13-1767-2019, 2019
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We present a new statistical model for converting snow depths to water equivalent. The only variables required are snow depth, day of year, and location. We use the location to look up climatological parameters such as mean winter precipitation and mean temperature difference (difference between hottest month and coldest month). The model is simple by design so that it can be applied to depth measurements anywhere, anytime. The model is shown to perform better than other widely used approaches.
Rebecca Mott, Andreas Wolf, Maximilian Kehl, Harald Kunstmann, Michael Warscher, and Thomas Grünewald
The Cryosphere, 13, 1247–1265, https://doi.org/10.5194/tc-13-1247-2019, https://doi.org/10.5194/tc-13-1247-2019, 2019
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The mass balance of very small glaciers is often governed by anomalous snow accumulation, winter precipitation being multiplied by snow redistribution processes, or by suppressed snow ablation driven by micrometeorological effects lowering net radiation and turbulent heat exchange. In this study we discuss the relative contribution of snow accumulation (avalanches) versus micrometeorology (katabatic flow) on the mass balance of the lowest perennial ice field of the Alps, the Ice Chapel.
Benjamin J. Hatchett and Hilary G. Eisen
The Cryosphere, 13, 21–28, https://doi.org/10.5194/tc-13-21-2019, https://doi.org/10.5194/tc-13-21-2019, 2019
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We examine the timing of early season snowpack relevant to oversnow vehicle (OSV) recreation over the past 3 decades in the Lake Tahoe region (USA). Data from two independent data sources suggest that the timing of achieving sufficient snowpack has shifted later by 2 weeks. Increasing rainfall and more dry days play a role in the later onset. Adaptation strategies are provided for winter travel management planning to address negative impacts of loss of early season snowpack for OSV usage.
Deborah Verfaillie, Matthieu Lafaysse, Michel Déqué, Nicolas Eckert, Yves Lejeune, and Samuel Morin
The Cryosphere, 12, 1249–1271, https://doi.org/10.5194/tc-12-1249-2018, https://doi.org/10.5194/tc-12-1249-2018, 2018
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This article addresses local changes of seasonal snow and its meteorological drivers, at 1500 m altitude in the Chartreuse mountain range in the Northern French Alps, for the period 1960–2100. We use an ensemble of adjusted RCM outputs consistent with IPCC AR5 GCM outputs (RCPs 2.6, 4.5 and 8.5) and the snowpack model Crocus. Beyond scenario-based approach, global temperature levels on the order of 1.5 °C and 2 °C above preindustrial levels correspond to 25 and 32% reduction of mean snow depth.
Cited articles
Anastasio, C. and Robles, T.: Light absorption by soluble chemical species
in Arctic and Antarctic snow, J. Geophys. Res.-Atmos., 112, D24304,
https://doi.org/10.1029/2007JD008695, 2007.
Anesio, A. M., Hodson, A. J., Fritz, A., Psenner, R., and Sattler, B.: High
microbial activity on glaciers: importance to the global carbon cycle,
Glob. Change Biol., 15, 955–960, 2009.
Antony, R., Grannas, A. M., Willoughby, A. S., Sleighter, R. L., Thamban,
M., and Hatcher, P. G.: Origin and Sources of Dissolved Organic Matter in
Snow on the East Antarctic Ice Sheet, Environ. Sci. Technol., 48, 6151–6159,
2014.
Bahram, M., Bro, R., Stedmon, C., and Afkhami, A.: Handling of Rayleigh and
Raman scatter for PARAFAC modeling of fluorescence data using interpolation,
J. Chemometr., 20, 99–105, 2006.
Beine, H., Anastasio, C., Esposito, G., Patten, K., Wilkening, E., Domine,
F., Voisin, D., Barret, M., Houdier, S., and Hall, S.: Soluble,
light-absorbing species in snow at Barrow, Alaska, J. Geophys. Res.-Atmos.,
116, D00R05, https://doi.org/10.1029/2011JD016181, 2011.
Bhatia, M. P., Das, S. B., Longnecker, K., Charette, M. A., and Kujawinski,
E. B.: Molecular characterization of dissolved organic matter associated
with the Greenland ice sheet, Geochim. Cosmochim. Ac., 74, 3768–3784, 2010.
Birdwell, J. E. and Engel, A. S.: Characterization of dissolved organic
matter in cave and spring waters using UV-Vis absorbance and fluorescence
spectroscopy, Org. Geochem., 41, 270–280, 2010.
Birdwell, J. E. and Valsaraj, K. T.: Characterization of dissolved organic
matter in fogwater by excitation-emission matrix fluorescence spectroscopy,
Atmos. Environ., 44, 3246–3253, 2010.
Bond, T. C.: Spectral dependence of visible light absorption by carbonaceous
particles emitted from coal combustion, Geophys. Res. Lett., 28, 4075–4078,
2001.
Bricaud, A., Morel, A., and Prieur, L.: Absorption by dissolved
Organic-matter of the sea (yellow substance) in the uv and visible domains,
Limnol. Oceanogr., 26, 43–53, 1981.
Bro, R.: PARAFAC, Tutorial and applications, Chemometr. Intell. Lab., 38,
149–171, 1997.
Chen, Q. C., Miyazaki, Y., Kawamura, K., Matsumoto, K., Coburn, S.,
Volkamer, R., Iwamoto, Y., Kagami, S., Deng, Y. G., Ogawa, S., Ramasamy, S.,
Kato, S., Ida, A., Kajii, Y., and Mochida, M.: Characterization of
Chromophoric Water-Soluble Organic Matter in Urban, Forest, and Marine
Aerosols by HR-ToF-AMS Analysis and Excitation Emission Matrix Spectroscopy,
Environ. Sci. Technol., 50, 10351–10360, 2016.
Coble, P. G.: Characterization of marine and terrestrial DOM in seawater
using excitation emission matrix spectroscopy, Mar. Chem., 51, 325–346,
1996.
Coble, P. G., Del Castillo, C. E., and Avril, B.: Distribution and optical
properties of CDOM in the Arabian Sea during the 1995 Southwest Monsoon,
Deep-Sea Res. Pt. II, 45, 2195–2223, 1998.
Dang, C. and Hegg, D. A.: Quantifying light absorption by organic carbon in
Western North American snow by serial chemical extractions, J. Geophys.
Res.-Atmos., 119, 10247–10261, https://doi.org/10.1002/2014JD022156, 2014.
Del Castillo, C. E. and Coble, P. G.: Seasonal variability of the colored
dissolved organic matter during the 1994–95 NE and SW Monsoons in the
Arabian Sea, Deep-Sea Res. Pt. II, 47, 1563–1579, 2000.
Doherty, S. J., Warren, S. G., Grenfell, T. C., Clarke, A. D., and Brandt, R.
E.: Light-absorbing impurities in Arctic snow, Atmos. Chem. Phys., 10,
11647–11680, https://doi.org/10.5194/acp-10-11647-2010, 2010.
Doherty, S. J., Grenfell, T. C., Forsstrom, S., Hegg, D. L., Brandt, R. E.,
and Warren, S. G.: Observed vertical redistribution of black carbon and
other insoluble light-absorbing particles in melting snow, J. Geophys.
Res.-Atmos., 118, 5553–5569, 2013.
Doherty, S. J., Dang, C., Hegg, D. A., Zhang, R. D., and Warren, S. G.:
Black carbon and other light-absorbing particles in snow of central North
America, J. Geophys. Res.-Atmos., 119, 12807–12831, 2014.
Doherty, S. J., Steele, M., Rigor, I., and Warren, S. G.: Interannual
variations of light-absorbing particles in snow on Arctic sea ice, J.
Geophys. Res.-Atmos., 120, 11391–11400, 2015.
Domine, F., Bock, J., Voisin, D., and Donaldson, D. J.: Can We Model Snow
Photochemistry? Problems with the Current Approaches, J. Phys. Chem. A, 117,
4733–4749, 2013.
Duarte, R. M. B. O., Pio, C. A., and Duarte, A. C.: Synchronous scan and
excitation-emission matrix fluorescence spectroscopy of water-soluble
organic compounds in atmospheric aerosols, J. Atmos. Chem., 48, 157–171,
2004.
Dubnick, A., Barker, J., Sharp, M., Wadham, J., Lis, G., Telling, J.,
Fitzsimons, S., and Jackson, M.: Characterization of dissolved organic
matter (DOM) from glacial environments using total fluorescence spectroscopy
and parallel factor analysis, Ann. Glaciol., 51, 111–122, 2010.
Fellman, J. B., D'Amore, D. V., and Hood, E.: An evaluation of freezing as a
preservation technique for analyzing dissolved organic C, N and P in surface
water samples, Sci. Total Environ., 392, 305–312, 2008.
Feng, L., Xu, J. Z., Kang, S. C., Li, X. F., Li, Y., Jiang, B., and Shi, Q.:
Chemical Composition of Microbe-Derived Dissolved Organic Matter in
Cryoconite in Tibetan Plateau Glaciers: Insights from Fourier Transform Ion
Cyclotron Resonance Mass Spectrometry Analysis, Environ. Sci. Technol., 50,
13215–13223, 2016.
Feng, L., An, Y., Xu, J., Kang, S., Li, X., Zhou, Y., Zhang, Y., Jiang, B.,
and Liao, Y.: Physical and chemical evolution of dissolved organic matter
across the ablation season on a glacier in the central Tibetan Plateau,
Biogeosciences Discuss., https://doi.org/10.5194/bg-2017-507, 2017.
Fichot, C. G. and Benner, R.: The spectral slope coefficient of
chromophoric dissolved organic matter (S275-295) as a tracer of terrigenous
dissolved organic carbon in river-influenced ocean margins, Limnol.
Oceanogr., 57, 1453–1466, 2012.
Graber, E. R. and Rudich, Y.: Atmospheric HULIS: How humic-like are they?
A comprehensive and critical review, Atmos. Chem. Phys., 6,
729–753, https://doi.org/10.5194/acp-6-729-2006, 2006.
Hadley, O. L. and Kirchstetter, T. W.: Black-carbon reduction of snow
albedo, Nat. Clim. Change, 2, 437–440, 2012.
Hansen, A. M., Kraus, T. E. C., Pellerin, B. A., Fleck, J. A., Downing, B.
D., and Bergamaschi, B. A.: Optical properties of dissolved organic matter
(DOM): Effects of biological and photolytic degradation, Limnol. Oceanogr.,
61, 1015–1032, 2016.
Hara, K., Osada, K., Kido, M., Hayashi, M., Matsunaga, K., Iwasaka, Y.,
Yamanouchi, T., Hashida, G., and Fukatsu, T.: Chemistry of sea-salt
particles and inorganic halogen species in Antarctic regions: Compositional
differences between coastal and inland stations, J. Geophys. Res.-Atmos.,
109, D20208, https://doi.org/10.1029/2004JD004713, 2004.
Hecobian, A., Zhang, X., Zheng, M., Frank, N., Edgerton, E. S., and Weber, R.
J.: Water-Soluble Organic Aerosol material and the light-absorption
characteristics of aqueous extracts measured over the Southeastern United
States, Atmos. Chem. Phys., 10, 5965–5977,
https://doi.org/10.5194/acp-10-5965-2010, 2010.
Hegg, D. A., Warren, S. G., Grenfell, T. C., Sarah J. Doherty, and Clarke, A.
D.: Sources of light-absorbing aerosol in arctic snow and their seasonal
variation, Atmos. Chem. Phys., 10, 10923–10938,
https://doi.org/10.5194/acp-10-10923-2010, 2010.
Helms, J. R., Stubbins, A., Ritchie, J. D., Minor, E. C., Kieber, D. J., and
Mopper, K.: Absorption spectral slopes and slope ratios as indicators of
molecular weight, source, and photobleaching of chromophoric dissolved
organic matter, Limnol. Oceanogr., 53, 955–969, 2008.
Helms, J. R., Stubbins, A., Perdue, E. M., Green, N. W., Chen, H., and
Mopper, K.: Photochemical bleaching of oceanic dissolved organic matter and
its effect on absorption spectral slope and fluorescence, Mar. Chem., 155,
81–91, 2013.
Hill, V. J. and Zimmerman, R. C.: Characteristics of colored dissolved
organic material in first year landfast sea ice and the underlying water
column in the Canadian Arctic in the early spring, Mar. Chem., 180, 1–13,
2016.
Hood, E., Fellman, J., Spencer, R. G. M., Hernes, P. J., Edwards, R.,
D'Amore, D., and Scott, D.: Glaciers as a source of ancient and labile
organic matter to the marine environment, Nature, 462, 1044–1047, 2009.
Hood, E., Battin, T. J., Fellman, J., O'Neel, S., and Spencer, R. G. M.:
Storage and release of organic carbon from glaciers and ice sheets, Nat.
Geosci., 8, 91–96, 2015.
Huang, J. P., Fu, Q. A., Zhang, W., Wang, X., Zhang, R. D., Ye, H., and
Warren, S. G.: Dust And Black Carbon In Seasonal Snow across Northern China,
B. Am. Meteorol. Soc., 92, 175–181, 2011.
Huang, S. B., Wang, Y. X., Ma, T., Tong, L., Wang, Y. Y., Liu, C. R., and
Zhao, L.: Linking groundwater dissolved organic matter to sedimentary
organic matter from a fluvio-lacustrine aquifer at Jianghan Plain, China by
EEM-PARAFAC and hydrochemical analyses, Sci. Total Environ., 529, 131–139,
2015.
Huguet, A., Vacher, L., Relexans, S., Saubusse, S., Froidefond, J. M., and
Parlanti, E.: Properties of fluorescent dissolved organic matter in the
Gironde Estuary, Org. Geochem., 40, 706–719, 2009.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner,
G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V.,
and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom
and New York, NY, USA, 1535 pp., 2013.
Jones, H. G.: The ecology of snow-covered systems: a brief overview of
nutrient cycling and life in the cold, Hydrol. Process., 13, 2135–2147,
1999.
Kothawala, D. N., Murphy, K. R., Stedmon, C. A., Weyhenmeyer, G. A., and
Tranvik, L. J.: Inner filter correction of dissolved organic matter
fluorescence, Limnol. Oceanogr.-Meth., 11, 616–630, 2013.
Lawaetz, A. J. and Stedmon, C. A.: Fluorescence Intensity Calibration Using
the Raman Scatter Peak of Water, Appl. Spectrosc., 63, 936–940, 2009.
Lawson, E. C., Wadham, J. L., Tranter, M., Stibal, M., Lis, G. P., Butler, C.
E. H., Laybourn-Parry, J., Nienow, P., Chandler, D., and Dewsbury, P.:
Greenland Ice Sheet exports labile organic carbon to the Arctic oceans,
Biogeosciences, 11, 4015–4028, https://doi.org/10.5194/bg-11-4015-2014, 2014.
Lee, H. J., Laskin, A., Laskin, J., and Nizkorodov, S. A.:
Excitation-Emission Spectra and Fluorescence Quantum Yields for Fresh and
Aged Biogenic Secondary Organic Aerosols, Environ. Sci. Technol., 47,
5763–5770, 2013.
Liu, Y. Q., Yao, T. D., Jiao, N. Z., Kang, S. C., Xu, B. Q., Zeng, Y. H.,
Huang, S. J., and Liu, X. B.: Bacterial diversity in the snow over Tibetan
Plateau Glaciers, Extremophiles, 13, 411–423, 2009.
Lutz, S., Anesio, A. M., Raiswell, R., Edwards, A., Newton, R. J., Gill, F.,
and Benning, L. G.: The biogeography of red snow microbiomes and their role
in melting arctic glaciers, Nat. Commun., 7, 11968, https://doi.org/10.1038/ncomms11968, 2016.
Massicotte, P., Asmala, E., Stedmon, C., and Markager, S.: Global
distribution of dissolved organic matter along the aquatic continuum: Across
rivers, lakes and oceans, Sci. Total Environ., 609, 180–191, 2017.
McKnight, D. M., Boyer, E. W., Westerhoff, P. K., Doran, P. T., Kulbe, T.,
and Andersen, D. T.: Spectrofluorometric characterization of dissolved
organic matter for indication of precursor organic material and aromaticity,
Limnol. Oceanogr., 46, 38–48, 2001.
Mladenov, N., Alados-Arboledas, L., Olmo, F. J., Lyamani, H., Delgado, A.,
Molina, A., and Reche, I.: Applications of optical spectroscopy and stable
isotope analyses to organic aerosol source discrimination in an urban area,
Atmos. Environ., 45, 1960–1969, 2011.
Mladenov, N., Williams, M. W., Schmidt, S. K., and Cawley, K.: Atmospheric
deposition as a source of carbon and nutrients to an alpine catchment of the
Colorado Rocky Mountains, Biogeosciences, 9, 3337–3355,
https://doi.org/10.5194/bg-9-3337-2012, 2012.
Murphy, K. R., Stedmon, C. A., Waite, T. D., and Ruiz, G. M.: Distinguishing
between terrestrial and autochthonous organic matter sources in marine
environments using fluorescence spectroscopy, Mar. Chem., 108, 40–58, 2008.
Murphy, K. R., Hambly, A., Singh, S., Henderson, R. K., Baker, A., Stuetz,
R., and Khan, S. J.: Organic Matter Fluorescence in Municipal Water
Recycling Schemes: Toward a Unified PARAFAC Model, Environ. Sci. Technol.,
45, 2909–2916, 2011.
Murphy, K. R., Stedmon, C. A., Graeber, D., and Bro, R.: Fluorescence
spectroscopy and multi-way techniques. PARAFAC, Anal. Methods-Uk., 5,
6557–6566, 2013.
MCD14DL: NASA Near Real-Time and MCD14DL MODIS Active Fire Detections,
TXT format, Data set, available at:
https://earthdata.nasa.gov/firms, last access: 2 October, 2018.
National Geophysical Data Center/NESDIS/NOAA/U.S. Department
of Commerce: ETOPO2, Global 2 Arc-minute Ocean Depth and Land Elevation from the US
National Geophysical Data Center (NGDC), Research Data Archive at the
National Center for Atmospheric Research, Computational and Information
Systems Laboratory, https://doi.org/10.5065/D6668B75, 2001.
Niu, H. W., Kang, S. C., Lu, X. X., and Shi, X. F.: Distributions and light
absorption property of water soluble organic carbon in a typical temperate
glacier, southeastern Tibetan Plateau, Tellus B, 70, 1445379,
https://doi.org/10.1080/16000889.2018.1468705, 2018.
Oh, M. S., Lee, T. J., and Kim, D. S.: Quantitative Source Apportionment of
Size-segregated Particulate Matter at Urbanized Local Site in Korea, Aerosol
Air Qual. Res., 11, 247–264, 2011.
Otero, M., Mendonca, A., Valega, M., Santos, E. B. H., Pereira, E., Esteves,
V. I., and Duarte, A.: Fluorescence and DOC contents of estuarine pore
waters from colonized and non-colonized sediments: Effects of sampling
preservation, Chemosphere, 67, 211–220, 2007.
Peacock, M., Freeman, C., Gauci, V., Lebron, I., and Evans, C. D.:
Investigations of freezing and cold storage for the analysis of peatland
dissolved organic carbon (DOC) and absorbance properties, Environ. Sci.-Proc.
Imp., 17, 1290–1301, 2015.
Pegau, W. S.: Inherent optical properties of the central Arctic surface
waters, J. Geophys. Res.-Oceans, 107, 8035, https://doi.org/10.1029/2000JC000382,
2002.
Pio, C. A., Legrand, M., Oliveira, T., Afonso, J., Santos, C., Caseiro, A.,
Fialho, P., Barata, F., Puxbaum, H., Sanchez-Ochoa, A., Kasper-Giebl, A.,
Gelencser, A., Preunkert, S., and Schock, M.: Climatology of aerosol
composition (organic versus inorganic) at nonurban sites on a west-east
transect across Europe, J. Geophys. Res.-Atmos., 112, D23S02,
https://doi.org/10.1029/2006JD008038, 2007.
Pu, W., Wang, X., Wei, H., Zhou, Y., Shi, J., Hu, Z., Jin, H., and Chen,
Q.: Properties of black carbon and other insoluble light-absorbing
particles in seasonal snow of northwestern China, The Cryosphere, 11,
1213–1233, https://doi.org/10.5194/tc-11-1213-2017, 2017.
Saracli, S., Dogan, N., and Dogan, I.: Comparison of hierarchical cluster
analysis methods by cophenetic correlation, J. Inequal. Appl., 203,
203, https://doi.org/10.1186/1029-242X-2013-203, 2013.
Seekell, D. A., Lapierre, J. F., Ask, J., Bergstrom, A. K., Deininger, A.,
Rodriguez, P., and Karlsson, J.: The influence of dissolved organic carbon
on primary production in northern lakes, Limnol. Oceanogr., 60, 1276–1285,
2015.
Singer, G. A., Fasching, C., Wilhelm, L., Niggemann, J., Steier, P.,
Dittmar, T., and Battin, T. J.: Biogeochemically diverse organic matter in
Alpine glaciers and its downstream fate, Nat. Geosci., 5, 710–714, 2012.
Spencer, R. G. M., Butler, K. D., and Aiken, G. R.: Dissolved organic carbon
and chromophoric dissolved organic matter properties of rivers in the USA,
J. Geophys. Res.-Biogeo., 117, G03001, https://doi.org/10.1029/2011JG001928, 2012.
Stedmon, C. A. and Bro, R.: Characterizing dissolved organic matter
fluorescence with parallel factor analysis: a tutorial, Limnol.
Oceanogr.-Meth., 6, 572–579, 2008.
Stedmon, C. A. and Markager, S.: Tracing the production and degradation of
autochthonous fractions of dissolved organic matter by fluorescence
analysis, Limnol. Oceanogr., 50, 1415–1426, 2005a.
Stedmon, C. A. and Markager, S.: Resolving the variability in dissolved
organic matter fluorescence in a temperate estuary and its catchment using
PARAFAC analysis, Limnol. Oceanogr., 50, 686–697, 2005b.
Stedmon, C. A., Markager, S., and Bro, R.: Tracing dissolved organic matter
in aquatic environments using a new approach to fluorescence spectroscopy,
Mar. Chem., 82, 239–254, 2003.
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D.,
and Ngan, F.: Noaa's Hysplit Atmospheric Transport and Dispersion Modeling
System, B. Am. Meteorol. Soc., 96, 2059–2077, 2015.
Stubbins, A., Hood, E., Raymond, P. A., Aiken, G. R., Sleighter, R. L.,
Hernes, P. J., Butman, D., Hatcher, P. G., Striegl, R. G., Schuster, P.,
Abdulla, H. A. N., Vermilyea, A. W., Scott, D. T., and Spencer, R. G. M.:
Anthropogenic aerosols as a source of ancient dissolved organic matter in
glaciers, Nat. Geosci., 5, 198–201, 2012.
Thieme, L., Graeber, D., Kaupenjohann, M., and Siemens, J.: Fast-freezing
with liquid nitrogen preserves bulk dissolved organic matter concentrations,
but not its composition, Biogeosciences, 13, 4697–4705,
https://doi.org/10.5194/bg-13-4697-2016, 2016.
Thrane, J.-E., Hessen, D. O., and Andersen, T.: The Absorption of Light in
Lakes: Negative Impact of Dissolved Organic Carbon on Primary Productivity,
Ecosystems, 17, 1040–1052, 2014.
Twardowski, M. S., Boss, E., Sullivan, J. M., and Donaghay, P. L.: Modeling
the spectral shape of absorption by chromophoric dissolved organic matter,
Mar. Chem., 89, 69–88, 2004.
Vaehaetalo, A. V. and Wetzel, R. G.: Photochemical and microbial
decomposition of chromophoric dissolved organic matter during long
(months-years) exposures, Mar. Chem., 89, 313–326, 2004.
VNP14IMGTDL_NRT: NASA Near Real-Time VNP14IMGTDL_NRT VIIRS 375 m
Active Fire
Detections, TXT format, Data set, available at:
https://earthdata.nasa.gov/firms, last access: 2 October, 2018.
Voisin, D., Jaffrezo, J. L., Houdier, S., Barret, M., Cozic, J., King, M.
D., France, J. L., Reay, H. J., Grannas, A., Kos, G., Ariya, P. A., Beine,
H. J., and Domine, F.: Carbonaceous species and humic like substances
(HULIS) in Arctic snowpack during OASIS field campaign in Barrow, J.
Geophys. Res.-Atmos., 117, D00R19, https://doi.org/10.1029/2011JD016612, 2012.
Wang, H. L., Zhuang, Y. H., Wang, Y., Sun, Y., Yuan, H., Zhuang, G. S., and
Hao, Z. P.: Long-term monitoring and source apportionment of PM2.5/PM10 in
Beijing, China, J. Environ. Sci.-China, 20, 1323–1327, 2008.
Wang, X., Doherty, S. J., and Huang, J.: Black carbon and other
light-absorbing impurities in snow across Northern China, J. Geophys.
Res.-Atmos., 118, 1471–1492, 2013.
Wang, X., Pu, W., Zhang, X. Y., Ren, Y., and Huang, J. P.: Water-soluble
ions and trace elements in surface snow and their potential source regions
across northeastern China, Atmos. Environ., 114, 57–65, 2015.
Wang, X., Pu, W., Ren, Y., Zhang, X., Zhang, X., Shi, J., Jin, H., Dai, M.,
and Chen, Q.: Observations and model simulations of snow albedo reduction in
seasonal snow due to insoluble light-absorbing particles during 2014 Chinese
survey, Atmos. Chem. Phys., 17, 2279–2296,
https://doi.org/10.5194/acp-17-2279-2017, 2017.
Wang, Y., Zhuang, G. S., Zhang, X. Y., Huang, K., Xu, C., Tang, A. H., Chen,
J. M., and An, Z. S.: The ion chemistry, seasonal cycle, and sources of
PM2.5 and TSP aerosol in Shanghai, Atmos. Environ., 40, 2935–2952, 2006.
Wang, Y. H., Xu, Y. P., Spencer, R. G. M., Zito, P., Kellerman, A.,
Podgorski, D., Xiao, W. J., Wei, D. D., Rashid, H., and Yang, Y. H.:
Selective Leaching of Dissolved Organic Matter From Alpine Permafrost Soils
on the Qinghai-Tibetan Plateau, J. Geophys. Res.-Biogeo., 123, 1005–1016,
2018.
Warren, S. G. and Wiscombe, W. J.: A Model for the Spectral Albedo of Snow. 2.Snow
Containing Atmospheric Aerosols, J. Atmos. Sci., 37, 2734–2745,
1980.
Xie, M. J., Mladenov, N., Williams, M. W., Neff, J. C., Wasswa, J., and
Hannigan, M. P.: Water soluble organic aerosols in the Colorado Rocky
Mountains, USA: composition, sources and optical properties, Sci. Rep.-Uk.,
6, 39339, https://doi.org/10.1038/srep39339, 2016.
Yamashita, Y., Jaffe, R., Maie, N., and Tanoue, E.: Assessing the dynamics
of dissolved organic matter (DOM) in coastal environments by excitation
emission matrix fluorescence and parallel factor analysis (EEM-PARAFAC),
Limnol. Oceanogr., 53, 1900–1908, 2008.
Yamashita, Y., Cory, R. M., Nishioka, J., Kuma, K., Tanoue, E., and Jaffe,
R.: Fluorescence characteristics of dissolved organic matter in the deep
waters of the Okhotsk Sea and the northwestern North Pacific Ocean, Deep-Sea
Res. Pt. II, 57, 1478–1485, 2010.
Yan, F., Kang, S., Li, C., Zhang, Y., Qin, X., Li, Y., Zhang, X., Hu, Z.,
Chen, P., Li, X., Qu, B., and Sillanpää, M.: Concentration, sources and light
absorption characteristics of dissolved organic carbon on a medium-sized
valley glacier, northern Tibetan Plateau, The Cryosphere, 10, 2611–2621,
https://doi.org/10.5194/tc-10-2611-2016, 2016.
Yang, L. Y., Hong, H. S., Chen, C. T. A., Guo, W. D., and Huang, T. H.:
Chromophoric dissolved organic matter in the estuaries of populated and
mountainous Taiwan, Mar. Chem., 157, 12–23, 2013.
Ye, H., Zhang, R. D., Shi, J. S., Huang, J. P., Warren, S. G., and Fu, Q.:
Black carbon in seasonal snow across northern Xinjiang in northwestern
China, Environ. Res. Lett., 7, 044002, https://doi.org/10.1088/1748-9326/7/4/044002,
2012.
Yu, H. R., Liang, H., Qu, F. S., Han, Z. S., Shao, S. L., Chang, H. Q., and
Li, G. B.: Impact of dataset diversity on accuracy and sensitivity of
parallel factor analysis model of dissolved organic matter fluorescence
excitation-emission matrix, Sci. Rep.-Uk., 5, 10207, https://doi.org/10.1038/srep10207,
2015.
Zhang, R., Hegg, D. A., Huang, J., and Fu, Q.: Source attribution of
insoluble light-absorbing particles in seasonal snow across northern China,
Atmos. Chem. Phys., 13, 6091–6099, https://doi.org/10.5194/acp-13-6091-2013,
2013.
Zhang, Y. L., van Dijk, M. A., Liu, M. L., Zhu, G. W., and Qin, B. Q.: The
contribution of phytoplankton degradation to chromophoric dissolved organic
matter (CDOM) in eutrophic shallow lakes: Field and experimental evidence,
Water Res., 43, 4685–4697, 2009.
Zhang, Y. L., Zhang, E. L., Yin, Y., van Dijk, M. A., Feng, L. Q., Shi, Z.
Q., Liu, M. L., and Qin, B. Q.: Characteristics and sources of chromophoric
dissolved organic matter in lakes of the Yungui Plateau, China, differing in
trophic state and altitude, Limnol. Oceanogr., 55, 2645–2659, 2010.
Zhang, Y. L., Yin, Y., Feng, L. Q., Zhu, G. W., Shi, Z. Q., Liu, X. H., and
Zhang, Y. Z.: Characterizing chromophoric dissolved organic matter in Lake
Tianmuhu and its catchment basin using excitation-emission matrix
fluorescence and parallel factor analysis, Water Res., 45, 5110–5122, 2011.
Zhao, Y., Song, K., Wen, Z., Li, L., Zang, S., Shao, T., Li, S., and Du, J.:
Seasonal characterization of CDOM for lakes in semiarid regions of Northeast
China using excitation-emission matrix fluorescence and parallel factor
analysis (EEM-PARAFAC), Biogeosciences, 13, 1635–1645,
https://doi.org/10.5194/bg-13-1635-2016, 2016.
Zhou, Y., Wang, X., Wu, X., Cong, Z., Wu, G., and Ji, M.: Quantifying Light
Absorption of Iron Oxides and Carbonaceous Aerosol in Seasonal Snow across
Northern China, Atmosphere, 8, 63, https://doi.org/10.3390/atmos8040063, 2017.
Zhou, Y. Q., Yao, X. L., Zhang, Y. B., Shi, K., Zhang, Y. L., Jeppesen, E.,
Gao, G., Zhu, G. W., and Qin, B. Q.: Potential rainfall-intensity and
pH-driven shifts in the apparent fluorescent composition of dissolved
organic matter in rainwater, Environ. Pollut., 224, 638–648, 2017.
Zsolnay, A., Baigar, E., Jimenez, M., Steinweg, B., and Saccomandi, F.:
Differentiating with fluorescence spectroscopy the sources of dissolved
organic matter in soils subjected to drying, Chemosphere, 38, 45–50, 1999.
Short summary
We first investigated the optical characteristics and potential sources of chromophoric dissolved organic matter (CDOM) in seasonal snow over northwestern China. The abundance of CDOM showed regional variation. At some sites strongly influenced by local soil, the absorption of CDOM cannot be neglected compared to black carbon. We found two humic-like and one protein-like fluorophores in snow. The major sources of snow CDOM were soil, biomass burning, and anthropogenic pollution.
We first investigated the optical characteristics and potential sources of chromophoric...
