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A Comparison of National Water Model Retrospective Analysis Snow Outputs at SNOTEL Sites Across the Western U.S.
  • Irene Garousi-Nejad,
  • David Tarboton
Irene Garousi-Nejad
Utah State University

Corresponding Author:[email protected]

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David Tarboton
Utah State University
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This study compares the U.S. National Water Model (NWM) reanalysis snow outputs to observed snow water equivalent (SWE) and snow-covered area fraction (SCAF) at SNOTEL sites across the Western U.S. SWE was obtained from SNOTEL sites, while SCAF was obtained from MODIS observations at a nominal 500 m grid scale. Retrospective NWM results were at a 1000 m grid scale. We compared results for SNOTEL sites to gridded NWM and MODIS outputs for the grid cells encompassing each SNOTEL site. Differences between modeled and observed SWE were attributed to both model errors, as well as errors in inputs, notably precipitation and temperature. The NWM generally under-predicted SWE, partly due to precipitation input differences. There was also a slight general bias for model input temperature to be cooler than observed, counter to the direction expected to lead to under-modeling of SWE. There was also under-modeling of SWE for a subset of sites where precipitation inputs were good. Furthermore, the NWM generally tends to melt snow early. There was considerable variability between modeled and observed SCAF as well as the binary comparison of snow cover presence that hampered useful interpretation of SCAF comparisons. This is in part due to the shortcomings associated with both model SCAF parameterization and MODIS observations, particularly in vegetated regions. However, when SCAF was aggregated across all sites and years, modeled SCAF tended to be more than observed using MODIS. These differences are regional with generally better SWE and SCAF results in the Central Basin and Range and differences tending to become larger the further away regions are from this region. These findings identify areas where predictions from the NWM involving snow may be better or worse, and suggest opportunities for research directed towards model improvements.
07 Feb 2021Submitted to Hydrological Processes
08 Feb 2021Submission Checks Completed
08 Feb 2021Assigned to Editor
11 Feb 2021Reviewer(s) Assigned
23 Apr 2021Review(s) Completed, Editorial Evaluation Pending
10 Jun 2021Editorial Decision: Revise Major
30 Jul 20211st Revision Received
31 Jul 2021Submission Checks Completed
31 Jul 2021Assigned to Editor
31 Jul 2021Reviewer(s) Assigned
27 Oct 2021Review(s) Completed, Editorial Evaluation Pending
05 Jan 2022Editorial Decision: Accept
09 Jan 2022Published in Hydrological Processes. 10.1002/hyp.14469