Articles | Volume 15, issue 2
https://doi.org/10.5194/tc-15-771-2021
© Author(s) 2021. 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-15-771-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Feb 2021
Research article |
| 17 Feb 2021
| 17 Feb 2021
Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
Sujay Kumar
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Carrie Vuyovich
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Paul Houser
Department of Geography and Geoinformation Sciences, George Mason
University, Fairfax, VA, USA
Jessica Lundquist
Civil and Environmental Engineering, University of Washington,
Seattle, WA, USA
Lawrence Mudryk
Climate Research Division, Environment and Climate Change Canada,
Toronto, Ontario, Canada
Michael Durand
School of Earth Sciences and Byrd Polar and Climate Research Center, The Ohio State University, Columbus, OH, USA
Ana Barros
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, USA
Edward J. Kim
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Barton A. Forman
Civil and Environmental Engineering, University of Maryland, College Park, MD, USA
Ethan D. Gutmann
National Center for Atmospheric Research, Boulder, Colorado, USA
Melissa L. Wrzesien
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
Camille Garnaud
Meteorological Research Division, Environment and Climate Change
Canada, Dorval, Quebec, Canada
Melody Sandells
Geography and Environmental Sciences, Northumbria University,
Newcastle upon Tyne, UK
Hans-Peter Marshall
Department of Geosciences, Boise State University, Boise, ID, USA
Nicoleta Cristea
Civil and Environmental Engineering, University of Washington,
Seattle, WA, USA
Justin M. Pflug
Civil and Environmental Engineering, University of Washington,
Seattle, WA, USA
Jeremy Johnston
Department of Geography and Geoinformation Sciences, George Mason
University, Fairfax, VA, USA
Yueqian Cao
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, USA
David Mocko
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Science Applications International Corporation, Reston, VA, USA
Shugong Wang
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Science Applications International Corporation, Reston, VA, USA
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Cited
34 citations as recorded by crossref.
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- Retrieval of snow and soil properties for forward radiative transfer modeling of airborne Ku-band SAR to estimate snow water equivalent: the Trail Valley Creek 2018/19 snow experiment B. Montpetit et al. 10.5194/tc-18-3857-2024
- Seasonal Peak Snow Predictability Derived From Early‐Season Snow in North America J. Lundquist et al. 10.1029/2023GL103802
- Assimilation of airborne gamma observations provides utility for snow estimation in forested environments E. Cho et al. 10.5194/hess-27-4039-2023
- Hybrid global gridded snow products and conceptual simulations of distributed snow budget: evaluation of different scenarios in a mountainous watershed M. Taheri et al. 10.1007/s11707-022-1005-2
- Energy‐Water Asynchrony Principally Determines Water Available for Runoff From Snowmelt in Continental Montane Forests R. Webb et al. 10.1002/hyp.15297
- Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing L. Tsang et al. 10.5194/tc-16-3531-2022
- Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site V. Dutch et al. 10.5194/bg-21-825-2024
- Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent E. Cho et al. 10.5194/hess-26-5721-2022
- Improving the estimation of snow depth in the Noah-MP model by combining particle filter and Bayesian model averaging Y. You et al. 10.1016/j.jhydrol.2022.128877
- Seasonal soil freeze/thaw variability across North America via ensemble land surface modeling M. Moradi et al. 10.1016/j.coldregions.2023.103806
- Extending the utility of space-borne snow water equivalent observations over vegetated areas with data assimilation J. Pflug et al. 10.5194/hess-28-631-2024
- Use of multiple reference data sources to cross-validate gridded snow water equivalent products over North America C. Mortimer et al. 10.5194/tc-18-5619-2024
- Northern Hemisphere Snow Drought in Earth System Model Simulations and ERA5‐Land Data in 1980–2014 Y. Fang & L. Leung 10.1029/2023JD039308
- High Resolution SnowModel Simulations Reveal Future Elevation‐Dependent Snow Loss and Earlier, Flashier Surface Water Input for the Upper Colorado River Basin J. Hammond et al. 10.1029/2022EF003092
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- An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015 H. Zheng et al. 10.5194/essd-15-2755-2023
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- A western United States snow reanalysis dataset over the Landsat era from water years 1985 to 2021 Y. Fang et al. 10.1038/s41597-022-01768-7
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- Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera Y. Fang et al. 10.5194/tc-17-5175-2023
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- Characterizing tundra snow sub-pixel variability to improve brightness temperature estimation in satellite SWE retrievals J. Meloche et al. 10.5194/tc-16-87-2022
- Snow interception modelling: Isolated observations have led to many land surface models lacking appropriate temperature sensitivities J. Lundquist et al. 10.1002/hyp.14274
- How Well do Global Snow Products Characterize Snow Storage in High Mountain Asia? Y. Liu et al. 10.1029/2022GL100082
- A Snow Water Equivalent Retrieval Framework Coupling 1D Hydrology and Passive Microwave Radiative Transfer Models Y. Cao et al. 10.3390/rs16101732
- Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
- Evidence of human influence on Northern Hemisphere snow loss A. Gottlieb & J. Mankin 10.1038/s41586-023-06794-y
34 citations as recorded by crossref.
- Spatiotemporal distribution of seasonal snow water equivalent in High Mountain Asia from an 18-year Landsat–MODIS era snow reanalysis dataset Y. Liu et al. 10.5194/tc-15-5261-2021
- Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments E. Cho et al. 10.5194/tc-17-3915-2023
- Retrieval of snow and soil properties for forward radiative transfer modeling of airborne Ku-band SAR to estimate snow water equivalent: the Trail Valley Creek 2018/19 snow experiment B. Montpetit et al. 10.5194/tc-18-3857-2024
- Seasonal Peak Snow Predictability Derived From Early‐Season Snow in North America J. Lundquist et al. 10.1029/2023GL103802
- Assimilation of airborne gamma observations provides utility for snow estimation in forested environments E. Cho et al. 10.5194/hess-27-4039-2023
- Hybrid global gridded snow products and conceptual simulations of distributed snow budget: evaluation of different scenarios in a mountainous watershed M. Taheri et al. 10.1007/s11707-022-1005-2
- Energy‐Water Asynchrony Principally Determines Water Available for Runoff From Snowmelt in Continental Montane Forests R. Webb et al. 10.1002/hyp.15297
- Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing L. Tsang et al. 10.5194/tc-16-3531-2022
- Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site V. Dutch et al. 10.5194/bg-21-825-2024
- Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent E. Cho et al. 10.5194/hess-26-5721-2022
- Improving the estimation of snow depth in the Noah-MP model by combining particle filter and Bayesian model averaging Y. You et al. 10.1016/j.jhydrol.2022.128877
- Seasonal soil freeze/thaw variability across North America via ensemble land surface modeling M. Moradi et al. 10.1016/j.coldregions.2023.103806
- Extending the utility of space-borne snow water equivalent observations over vegetated areas with data assimilation J. Pflug et al. 10.5194/hess-28-631-2024
- Use of multiple reference data sources to cross-validate gridded snow water equivalent products over North America C. Mortimer et al. 10.5194/tc-18-5619-2024
- Northern Hemisphere Snow Drought in Earth System Model Simulations and ERA5‐Land Data in 1980–2014 Y. Fang & L. Leung 10.1029/2023JD039308
- High Resolution SnowModel Simulations Reveal Future Elevation‐Dependent Snow Loss and Earlier, Flashier Surface Water Input for the Upper Colorado River Basin J. Hammond et al. 10.1029/2022EF003092
- A simple snow temperature index model exposes discrepancies between reanalysis snow water equivalent products A. Elias Chereque et al. 10.5194/tc-18-4955-2024
- An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015 H. Zheng et al. 10.5194/essd-15-2755-2023
- Uncertainty Characterization of Ground‐Based, Satellite, and Reanalysis Snow Depth Products Using Extended Triple Collocation D. Qiao et al. 10.1029/2021WR030895
- A western United States snow reanalysis dataset over the Landsat era from water years 1985 to 2021 Y. Fang et al. 10.1038/s41597-022-01768-7
- Near-field variability of evaposublimation in a montane conifer forest S. Drake et al. 10.3389/feart.2023.1249113
- Evaluation of snow cover properties in ERA5 and ERA5-Land with several satellite-based datasets in the Northern Hemisphere in spring 1982–2018 K. Kouki et al. 10.5194/tc-17-5007-2023
- Future Changes in Snowpack, Snowmelt, and Runoff Potential Extremes Over North America E. Cho et al. 10.1029/2021GL094985
- Downscaling Snow Deposition Using Historic Snow Depth Patterns: Diagnosing Limitations From Snowfall Biases, Winter Snow Losses, and Interannual Snow Pattern Repeatability J. Pflug et al. 10.1029/2021WR029999
- Informing Improvements in Freeze/Thaw State Classification Using Subpixel Temperature J. Johnston et al. 10.1109/TGRS.2021.3099292
- Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera Y. Fang et al. 10.5194/tc-17-5175-2023
- The Challenges of Simulating SWE Beneath Forest Canopies are Reduced by Data Assimilation of Snow Depth E. Smyth et al. 10.1029/2021WR030563
- Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation T. Lahmers et al. 10.1038/s41598-023-30484-4
- Characterizing tundra snow sub-pixel variability to improve brightness temperature estimation in satellite SWE retrievals J. Meloche et al. 10.5194/tc-16-87-2022
- Snow interception modelling: Isolated observations have led to many land surface models lacking appropriate temperature sensitivities J. Lundquist et al. 10.1002/hyp.14274
- How Well do Global Snow Products Characterize Snow Storage in High Mountain Asia? Y. Liu et al. 10.1029/2022GL100082
- A Snow Water Equivalent Retrieval Framework Coupling 1D Hydrology and Passive Microwave Radiative Transfer Models Y. Cao et al. 10.3390/rs16101732
- Development of a “nature run” for observing system simulation experiments (OSSEs) for snow mission development 10.1175/JHM-D-21-0071.1
- Evidence of human influence on Northern Hemisphere snow loss A. Gottlieb & J. Mankin 10.1038/s41586-023-06794-y
Latest update: 13 Dec 2024
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Short summary
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.
High SWE uncertainty is observed in mountainous and forested regions, highlighting the need for...
