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.
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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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...