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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (15 Dec 2020) by Jürg Schweizer
AR by Rhae Sung Kim on behalf of the Authors (15 Dec 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (18 Dec 2020) by Jürg Schweizer
RR by J. Ignacio López-Moreno (28 Dec 2020)
RR by Richard L.H. Essery (31 Dec 2020)
ED: Publish subject to technical corrections (03 Jan 2021) by Jürg Schweizer
AR by Rhae Sung Kim on behalf of the Authors (06 Jan 2021)  Author's response   Manuscript 

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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.