Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling

Kim, Rhae Sung; Kumar, Sujay; Vuyovich, Carrie; Houser, Paul; Lundquist, Jessica; Mudryk, Lawrence; Durand, Michael; Barros, Ana; Kim, Edward J.; Forman, Barton A.; Gutmann, Ethan D.; Wrzesien, Melissa L.; Garnaud, Camille; Sandells, Melody; Marshall, Hans-Peter; Cristea, Nicoleta; Pflug, Justin M.; Johnston, Jeremy; Cao, Yueqian; Mocko, David; Wang, Shugong

doi:https://doi.org/10.5194/tc-15-771-2021

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.

https://doi.org/10.5194/tc-15-771-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 2

Research article

|

17 Feb 2021

Research article |

| 17 Feb 2021

Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling

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

Supplement

https://doi.org/10.5194/tc-15-771-2021-supplement

Data sets

Canadian Meteorological Centre (CMC) daily snow depth analysis data, version 1 R. D. Brown and B. Brasnett https://doi.org/10.5067/W9FOYWH0EQZ3

The modern-era retrospective analysis for research and applications, version 2 (MERRA-2) (https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/data_access/) R. Gelaro, W. McCarty, M. J. Suarez, R. Todling, A. Molod, L. Takacs, C. A. Randles, A. Darmenov, M. G. Bosilovich, R. Reichle, K. Wargan, L. Coy, R. Cullather, C. Draper, S. Akella, V. Buchard, A. Conaty, A. M. da Silva, W. Gu, G. K. Kim, R. Koster, R. Lucchesi, D. Merkova, J. E. Nielsen, G. Partyka, S. Pawson, W. Putman, M. Rienecker, S. D. Schubert, M. Sienkiewicz, and B. Zhao https://doi.org/10.1175/JCLI-D-16-0758.1

The new global operational analysis system at the national-meteorological-center (https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod) J. C. Derber, D. F. Parrish, and S. J. Lord https://doi.org/10.1175/1520-0434(1991)006<0538:tngoas>2.0.co;2

The ECMWF ensemble prediction system: Methodology and validation (https://www.ecmwf.int/en/forecasts/datasets) F. Molteni, R. Buizza, T. N. Palmer, and T. Petroliagis https://doi.org/10.1256/smsqj.52904

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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.