136 citations as recorded by crossref.

1. An enhancement to sea ice motion and age products at the National Snow and Ice Data Center (NSIDC) M. Tschudi et al. https://doi.org/10.5194/tc-14-1519-2020
2. Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system S. Fritzner et al. https://doi.org/10.5194/tc-13-491-2019
3. Impact and Correction of Sea Ice, Snow, and Seawater Density on Arctic Sea-Ice Thickness Retrieval From Ku-Band SAR Altimeters X. Zhang et al. https://doi.org/10.1109/JMASS.2022.3212880
4. Sea ice thickness in the Eastern Canadian Arctic: Hudson Bay Complex & Baffin Bay J. Landy et al. https://doi.org/10.1016/j.rse.2017.08.019
5. The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. https://doi.org/10.5194/tc-14-2235-2020
6. Assessment of Satellite and Reanalysis Cold Season Snowfall Estimates Over Arctic Sea Ice Y. Song et al. https://doi.org/10.1029/2020GL088970
7. Discrimination of different sea ice types from CryoSat-2 satellite data using an Object-based Random Forest (ORF) S. Shu et al. https://doi.org/10.1080/01490419.2019.1671560
8. Airborne Investigation of Quasi-Specular Ku-Band Radar Scattering for Satellite Altimetry Over Snow-Covered Arctic Sea Ice C. De Rijke-Thomas et al. https://doi.org/10.1109/TGRS.2023.3318263
9. A monthly Arctic sea ice thickness product from 1995 to 2025 using multiple radar altimetry data F. Xiao et al. https://doi.org/10.1080/10095020.2026.2699566
10. Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval K. Guerreiro et al. https://doi.org/10.5194/tc-11-2059-2017
11. A Terrestrial Validation of ICESat Elevation Measurements and Implications for Global Reanalyses A. Borsa et al. https://doi.org/10.1109/TGRS.2019.2909739
12. A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. https://doi.org/10.5194/tc-16-4403-2022
13. Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic V. Nandan et al. https://doi.org/10.1109/JSTARS.2020.2966432
14. Near-real-time Arctic sea ice thickness and volume from CryoSat-2 R. Tilling et al. https://doi.org/10.5194/tc-10-2003-2016
15. Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model H. Kheyrollah Pour et al. https://doi.org/10.1109/TGRS.2017.2718533
16. Snow effects on altimeter waveforms over sea ice in the Weddell Sea — Part I: Radar waveform decomposition L. Zhou et al. https://doi.org/10.1016/j.rse.2025.115112
17. Uncertainty reduction of Arctic sea ice freeboard from CryoSat-2 interferometric mode A. Di Bella et al. https://doi.org/10.1016/j.asr.2018.03.018
18. A Preliminary Investigation of Arctic Sea Ice Negative Freeboard from in-situ Observations and Radar Altimetry S. Li et al. https://doi.org/10.1007/s11802-021-4380-5
19. The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. https://doi.org/10.1029/2020RG000712
20. Satellite altimetry detection of ice-shelf-influenced fast ice G. Brett et al. https://doi.org/10.5194/tc-15-4099-2021
21. Anticipating CRISTAL: an exploration of multi-frequency satellite altimeter snow depth estimates over Arctic sea ice, 2018–2023 J. Landy et al. https://doi.org/10.5194/tc-20-183-2026
22. Snow Depth and Air Temperature Seasonality on Sea Ice Derived From Snow Buoy Measurements M. Nicolaus et al. https://doi.org/10.3389/fmars.2021.655446
23. Arctic sea ice radar freeboard retrieval from the European Remote-Sensing Satellite (ERS-2) using altimetry: toward sea ice thickness observation from 1995 to 2021 M. Bocquet et al. https://doi.org/10.5194/tc-17-3013-2023
24. New insight from CryoSat-2 sea ice thickness for sea ice modelling D. Schröder et al. https://doi.org/10.5194/tc-13-125-2019
25. A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. https://doi.org/10.5194/tc-17-2871-2023
26. A numerical sensitivity study on the snow-darkening effect by black carbon deposition over the Arctic in spring Z. Zhang et al. https://doi.org/10.5194/acp-25-1-2025
27. Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks J. Chi & H. Kim https://doi.org/10.1080/15481603.2021.1943213
28. Spatial and Temporal Variations in the Extent and Thickness of Arctic Landfast Ice Z. Li et al. https://doi.org/10.3390/rs12010064
29. Estimation of Arctic Sea Ice Thickness Using HY-2B Altimeter Data C. Pang et al. https://doi.org/10.3390/rs16234565
30. Inter-comparisons of Arctic snow depth products M. Li et al. https://doi.org/10.1080/17538947.2024.2376286
31. Assessment of Arctic Sea Ice Thickness Estimates From ICESat-2 Using IceBird Airborne Measurements X. Shen et al. https://doi.org/10.1109/TGRS.2020.3022945
32. Regime-dependence when constraining a sea ice model with observations: lessons from a single-column perspective M. Wieringa & C. Bitz https://doi.org/10.5194/tc-19-6207-2025
33. Assessing three waveform retrackers on sea ice freeboard retrieval from Cryosat-2 using Operation IceBridge Airborne altimetry datasets W. Xia & H. Xie https://doi.org/10.1016/j.rse.2017.10.010
34. Assessment of Satellite Altimetric and Compact Polarimetric SAR Parameters Over Early Spring Snow-Covered Landfast Sea Ice in the Canadian Arctic H. Lam et al. https://doi.org/10.1109/JSTARS.2025.3595821
35. High-Resolution Snow Depth on Arctic Sea Ice From Low-Altitude Airborne Microwave Radar Data A. Jutila et al. https://doi.org/10.1109/TGRS.2021.3063756
36. About the consistency between Envisat and CryoSat-2 radar freeboard retrieval over Antarctic sea ice S. Schwegmann et al. https://doi.org/10.5194/tc-10-1415-2016
37. A year-round satellite sea-ice thickness record from CryoSat-2 J. Landy et al. https://doi.org/10.1038/s41586-022-05058-5
38. Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR H. Han et al. https://doi.org/10.1080/15481603.2020.1767857
39. Comparisons of Satellite and Airborne Altimetry With Ground‐Based Data From the Interior of the Antarctic Ice Sheet K. Brunt et al. https://doi.org/10.1029/2020GL090572
40. Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. https://doi.org/10.5194/tc-17-1389-2023
41. Variability of Arctic sea ice thickness and volume from CryoSat-2 R. Kwok & G. Cunningham https://doi.org/10.1098/rsta.2014.0157
42. Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method F. Xiao et al. https://doi.org/10.3390/s20247011
43. Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection S. Lee et al. https://doi.org/10.3390/rs8090698
44. Differences Between ICESat and CryoSat‐2 Sea Ice Thicknesses Over the Arctic: Consequences for Analyzing the Ice Volume Trend J. Kim et al. https://doi.org/10.1029/2020JD033103
45. Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al. https://doi.org/10.5194/tc-17-809-2023
46. Detecting Sea Ice Leads and Floes in the Northwest Passage Using CryoSat-2 A. Swiggs et al. https://doi.org/10.1109/JSTARS.2024.3503286
47. Comparing Coincident Elevation and Freeboard From IceBridge and Five Different CryoSat-2 Retrackers D. Yi et al. https://doi.org/10.1109/TGRS.2018.2865257
48. Contributions of growth and deformation to monthly variability in sea ice thickness north of the coasts of Greenland and the Canadian Arctic Archipelago R. Kwok & G. Cunningham https://doi.org/10.1002/2016GL069333
49. CryoSat Ice Baseline-D validation and evolutions M. Meloni et al. https://doi.org/10.5194/tc-14-1889-2020
50. Multidecadal Arctic sea ice thickness and volume derived from ice age Y. Liu et al. https://doi.org/10.5194/tc-14-1325-2020
51. Assessing CryoSat‐2 Antarctic Snow Freeboard Retrievals Using Data From ICESat‐2 S. Fons et al. https://doi.org/10.1029/2021EA001728
52. Refraction Considered Radar Equation for Snow-Covered Sea Ice Surface H. Shi & R. Tonboe https://doi.org/10.1109/LGRS.2025.3576648
53. Validation of Sea-Ice Topographic Heights Derived From TanDEM-X Interferometric SAR Data With Results From Laser Profiler and Photogrammetry T. Yitayew et al. https://doi.org/10.1109/TGRS.2018.2839590
54. Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery A. Nolin & E. Mar https://doi.org/10.3390/rs11010050
55. Utilisation of CryoSat-2 SAR altimeter in operational ice charting E. Rinne & M. Similä https://doi.org/10.5194/tc-10-121-2016
56. River ice phenology and thickness from satellite altimetry: potential for ice bridge road operation and climate studies E. Zakharova et al. https://doi.org/10.5194/tc-15-5387-2021
57. Retrievals of Lake Ice Thickness From Great Slave Lake and Great Bear Lake Using CryoSat-2 J. Beckers et al. https://doi.org/10.1109/TGRS.2017.2677583
58. Estimating Arctic sea ice thickness from satellite-based ice history N. Kimura & H. Hasumi https://doi.org/10.5194/tc-20-2331-2026
59. Brief communication: Conventional assumptions involving the speed of radar waves in snow introduce systematic underestimates to sea ice thickness and seasonal growth rate estimates R. Mallett et al. https://doi.org/10.5194/tc-14-251-2020
60. Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration J. Lee & Y. Ham https://doi.org/10.1038/s41612-023-00402-6
61. Investigation of the Arctic Sea ice volume from 2002 to 2018 using multi‐source data M. Li et al. https://doi.org/10.1002/joc.6972
62. Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data X. Wang et al. https://doi.org/10.3390/rs8090713
63. An Improved Algorithm for the Retrieval of the Antarctic Sea Ice Freeboard and Thickness from ICESat-2 Altimeter Data X. Pang et al. https://doi.org/10.3390/rs14051069
64. Assessment of radar freeboard, radar penetration rate, and snow depth for potential improvements in Arctic sea ice thickness retrieved from CryoSat-2 Y. Zhou et al. https://doi.org/10.1016/j.coldregions.2024.104408
65. Warm winter, thin ice? J. Stroeve et al. https://doi.org/10.5194/tc-12-1791-2018
66. Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. https://doi.org/10.3390/rs12183094
67. Multi-peak Retracking of CryoSat-2 SARIn Waveforms Over Arctic Sea Ice A. Di Bella et al. https://doi.org/10.1109/TGRS.2020.3022522
68. Sea‐Ice Detection From Near‐Nadir Ku‐Band Echoes From CFOSAT/SWIM Scatterometer C. Peureux et al. https://doi.org/10.1029/2021EA002046
69. Recent advance in earth observation big data for hydrology L. Chen & L. Wang https://doi.org/10.1080/20964471.2018.1435072
70. Simultaneous estimation of wintertime sea ice thickness and snow depth from space-borne freeboard measurements H. Shi et al. https://doi.org/10.5194/tc-14-3761-2020
71. Faster decline and higher variability in the sea ice thickness of the marginal Arctic seas when accounting for dynamic snow cover R. Mallett et al. https://doi.org/10.5194/tc-15-2429-2021
72. Sensitivity of CryoSat-2 Arctic sea-ice freeboard and thickness on radar-waveform interpretation R. Ricker et al. https://doi.org/10.5194/tc-8-1607-2014
73. Comparison of Freeboard Retrieval and Ice Thickness Calculation From ALS, ASIRAS, and CryoSat‐2 in the Norwegian Arctic to Field Measurements Made During the N‐ICE2015 Expedition J. King et al. https://doi.org/10.1002/2017JC013233
74. A multi-frequency altimetry snow depth product over Arctic sea ice A. Carret et al. https://doi.org/10.1038/s41597-024-04343-4
75. Two Decades of Arctic Sea-Ice Thickness from Satellite Altimeters: Retrieval Approaches and Record of Changes (2003–2023) S. Kacimi & R. Kwok https://doi.org/10.3390/rs16162983
76. Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT) F. Larue et al. https://doi.org/10.1016/j.rse.2021.112534
77. Orbit Determination of KOMPSAT-1 and Cryosat-2 Satellites Using Optical Wide-field Patrol Network (OWL-Net) Data with Batch Least Squares Filter E. Lee et al. https://doi.org/10.5140/JASS.2017.34.1.19
78. Retrieval of snow freeboard of Antarctic sea ice using waveform fitting of CryoSat-2 returns S. Fons & N. Kurtz https://doi.org/10.5194/tc-13-861-2019
79. A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data R. Ricker et al. https://doi.org/10.5194/tc-11-1607-2017
80. Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke https://doi.org/10.5194/tc-9-1955-2015
81. CryoSat: ESA’s ice mission – Eight years in space T. Parrinello et al. https://doi.org/10.1016/j.asr.2018.04.014
82. Arctic sea ice thickness retrievals from CryoSat-2: seasonal and interannual comparisons of three different products M. Li et al. https://doi.org/10.1080/01431161.2019.1637961
83. Freeboard height and snow depth observed by floating GPS on land-fast sea ice in Nella Fjord, Antarctica Q. Zhang et al. https://doi.org/10.1017/aog.2020.41
84. Evaluation of CryoSat-2 derived sea-ice freeboard over fast ice in McMurdo Sound, Antarctica D. Price et al. https://doi.org/10.3189/2015JoG14J157
85. Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network Z. Liang et al. https://doi.org/10.3390/rs15071887
86. An improved approach of total freeboard retrieval with IceBridge Airborne Topographic Mapper (ATM) elevation and Digital Mapping System (DMS) images X. Wang et al. https://doi.org/10.1016/j.rse.2016.08.002
87. Evaluation of Operation IceBridge quick‐look snow depth estimates on sea ice J. King et al. https://doi.org/10.1002/2015GL066389
88. The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise S. Kern et al. https://doi.org/10.5194/tc-9-37-2015
89. Estimation of Arctic Basin-Scale Sea Ice Thickness From Satellite Passive Microwave Measurements S. Lee et al. https://doi.org/10.1109/TGRS.2020.3026949
90. Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. https://doi.org/10.1088/1748-9326/ab09b3
91. Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. Fiedler et al. https://doi.org/10.5194/tc-16-61-2022
92. Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice S. Xu et al. https://doi.org/10.5194/tc-14-751-2020
93. Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge R. Kwok et al. https://doi.org/10.5194/tc-11-2571-2017
94. A decade-plus of Antarctic sea ice thickness and volume estimates from CryoSat-2 using a physical model and waveform fitting S. Fons et al. https://doi.org/10.5194/tc-17-2487-2023
95. Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system R. Allard et al. https://doi.org/10.1016/j.asr.2017.12.030
96. Ice Thickness From Deep Learning and Conditional Random Fields: Application to Ice-Penetrating Radar Data With Radiometric Validation M. Liu-Schiaffini et al. https://doi.org/10.1109/TGRS.2022.3214147
97. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. https://doi.org/10.1016/j.scib.2018.11.018
98. SAR Retracking in the Arctic: Development of a year-round retrackers system A. Schulz & M. Naeije https://doi.org/10.1016/j.asr.2018.01.037
99. Temporal and spatial variability in surface roughness and accumulation rate around 88° S from repeat airborne geophysical surveys M. Studinger et al. https://doi.org/10.5194/tc-14-3287-2020
100. Modeling and analysis of winter arctic clouds and their radiative impacts using three microphysics schemes in polar-WRF Z. Zhang et al. https://doi.org/10.1016/j.atmosres.2026.109059
101. Community review of Southern Ocean satellite data needs A. Pope et al. https://doi.org/10.1017/S0954102016000390
102. Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. https://doi.org/10.3390/rs11070881
103. A first approach towards dual-hemisphere sea ice reference measurements from multiple data sources repurposed for evaluation and product intercomparison of satellite altimetry I. Olsen et al. https://doi.org/10.5194/essd-18-2469-2026
104. Estimating Arctic sea ice thickness and volume using CryoSat-2 radar altimeter data R. Tilling et al. https://doi.org/10.1016/j.asr.2017.10.051
105. Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. https://doi.org/10.1029/2019JC015820
106. A Facet-Based Numerical Model for Simulating SAR Altimeter Echoes From Heterogeneous Sea Ice Surfaces J. Landy et al. https://doi.org/10.1109/TGRS.2018.2889763
107. Retrieval of Antarctic sea ice freeboard and thickness from HY-2B satellite altimeter data Y. Chen et al. https://doi.org/10.1007/s13131-023-2250-2
108. Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. https://doi.org/10.5194/tc-15-2819-2021
109. An attempt to measure sea ice freeboard using UAV-SfM T. WATANABE & K. TATEYAMA https://doi.org/10.5331/seppyo.83.2_155
110. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. https://doi.org/10.5194/tc-13-1187-2019
111. A Lagrangian Snow Evolution System for Sea Ice Applications (SnowModel‐LG): Part II—Analyses J. Stroeve et al. https://doi.org/10.1029/2019JC015900
112. Satellite-Based Data Assimilation System for the Initialization of Arctic Sea Ice Concentration and Thickness Using CICE5 J. Lee & Y. Ham https://doi.org/10.3389/fclim.2022.797733
113. Arctic Sea Ice Volume Changes in Terms of Age as Revealed From Satellite Observations H. Bi et al. https://doi.org/10.1109/JSTARS.2018.2823735
114. Bias correction of Arctic sea ice thickness products based on factor selection and machine learning methods H. Wu et al. https://doi.org/10.1016/j.apor.2024.104069
115. Toward improved sea ice freeboard observation with SAR altimetry using the physical retracker SAMOSA+ A. Laforge et al. https://doi.org/10.1016/j.asr.2020.02.001
116. The Roles of Sea Ice Export, Atmospheric and Oceanic Factors in the Seasonal and Regional Variability of Arctic Sea Ice during 1979–2020 M. Li et al. https://doi.org/10.3390/rs14040904
117. Arctic Sea Ice Lead Detection from Chinese HY-2B Radar Altimeter Data W. Zhong et al. https://doi.org/10.3390/rs15020516
118. Impact of snow accumulation on CryoSat‐2 range retrievals over Arctic sea ice: An observational approach with buoy data R. Ricker et al. https://doi.org/10.1002/2015GL064081
119. A New Retracking Algorithm for Retrieving Sea Ice Freeboard from CryoSat-2 Radar Altimeter Data during Winter–Spring Transition X. Shen et al. https://doi.org/10.3390/rs11101194
120. Development of an ENVISAT Altimetry Processor Providing Sea Level Continuity Between Open Ocean and Arctic Leads J. Poisson et al. https://doi.org/10.1109/TGRS.2018.2813061
121. Estimation of Arctic Sea Ice Thickness from Chinese HY-2B Radar Altimetry Data M. Jiang et al. https://doi.org/10.3390/rs15051180
122. Snow-driven uncertainty in CryoSat-2-derived Antarctic sea ice thickness – insights from McMurdo Sound D. Price et al. https://doi.org/10.5194/tc-13-1409-2019
123. Validation of sea-ice thickness derived satellite altimeter Cryosat-2 SIRAL in the Arctic, and application to Southern Ocean S. HOSHINO et al. https://doi.org/10.5331/seppyo.80.4_297
124. Simulating SAR altimeter echoes from cryospheric surfaces with the Snow Microwave Radiative Transfer (SMRT) model version 1.7 G. Picard et al. https://doi.org/10.5194/gmd-19-9103-2026
125. The spatiotemporal patterns of sea ice in the Bohai Sea during the winter seasons of 2000–2016 L. Ouyang et al. https://doi.org/10.1080/17538947.2017.1365957
126. Arctic sea ice thickness loss determined using subsurface, aircraft, and satellite observations R. Lindsay & A. Schweiger https://doi.org/10.5194/tc-9-269-2015
127. The Impact of Geophysical Corrections on Sea-Ice Freeboard Retrieved from Satellite Altimetry R. Ricker et al. https://doi.org/10.3390/rs8040317
128. Southern ocean sea level anomaly in the sea ice-covered sector from multimission satellite observations M. Auger et al. https://doi.org/10.1038/s41597-022-01166-z
129. Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness J. Stroeve et al. https://doi.org/10.5194/tc-8-1839-2014
130. Simulated Ka- and Ku-band radar altimeter height and freeboard estimation on snow-covered Arctic sea ice R. Tonboe et al. https://doi.org/10.5194/tc-15-1811-2021
131. Arctic sea surface height variability and change from satellite radar altimetry and GRACE, 2003–2014 T. Armitage et al. https://doi.org/10.1002/2015JC011579
132. Coastal SAR and PLRM altimetry in German Bight and West Baltic Sea S. Dinardo et al. https://doi.org/10.1016/j.asr.2017.12.018
133. A deep learning approach to retrieve cold-season snow depth over Arctic sea ice from AMSR2 measurements H. Li et al. https://doi.org/10.1016/j.rse.2021.112840
134. Estimation of Arctic Winter Snow Depth, Sea Ice Thickness and Bulk Density, and Ice Freeboard by Combining CryoSat-2, AVHRR, and AMSR Measurements H. Shi et al. https://doi.org/10.1109/TGRS.2023.3265274
135. Estimating snow depth over Arctic sea ice from calibrated dual-frequency radar freeboards I. Lawrence et al. https://doi.org/10.5194/tc-12-3551-2018
136. INPPTR: An improved retracking algorithm for inland water levels estimation using Cryosat-2 SARin data P. Chen et al. https://doi.org/10.1016/j.jhydrol.2022.128439