Literature DB >> 30949292

Evaluation of Simulated Snow and Snowmelt Timing in the Community Land Model Using Satellite-based Products and Streamflow Observations.

Ally M Toure1, Kari Luojus2, Matthew Rodell3, Hiroko Beaudoing3,4, Augusto Getirana3,4.   

Abstract

The purpose of this study was to evaluate snow and snowmelt simulated by version 4 of the Community Land Model (CLM4). We performed uncoupled CLM4 simulations, forced by Modem-Era Retrospective Analysis for Research and Applications Land-only (MERRA-Land) meteorological fields. GlobSnow snow cover fraction (SCF), snow water equivalent (SWE) and satellite-based passive microwave (PMW) snowmelt-off day of year (MoD) data were used to evaluate SCF, SWE, and snowmelt simulations. Simulated runoff was then fed into a river routing scheme and evaluation was performed at 408 snow-dominated catchments using gauge observations. CLM4 and GlobSnow snow cover extent showed a strong agreement, especially during the peak snow cover months. Overall there was a good correlation between simulated and observed SWE (correlation coefficient, R = 0.6). Simulated and observed SWE were similar over areas with relatively flat terrain and moderate forest density. The simulated MoD agreed (MoD differences (CLM4-PMW) = +/-7 days) with observations over 39.4% of the study domain. Snowmelt-off occurred earlier in the model compared to the observations over 39.5 % of the domain and later over 21.1% of the domain. Large differences of MoD were seen in the areas with complex terrain and dense forest cover. We also found that, although streamflow seasonal phase was accurately modeled (R=0.9), the peaks controlled by snowmelt were underestimated. Routed CLM4 streamflow tended to occur early (by 10 days on average).

Entities:  

Keywords:  CLM; simulation; snow cover extent; snow model; snow water equivalent; snowmelt; streamflow timing

Year:  2018        PMID: 30949292      PMCID: PMC6443257          DOI: 10.1029/2018MS001389

Source DB:  PubMed          Journal:  J Adv Model Earth Syst        ISSN: 1942-2466            Impact factor:   8.469


  3 in total

1.  Tradeoff between cost and accuracy in large-scale surface water dynamic modeling.

Authors:  Augusto Getirana; Christa Peters-Lidard; Matthew Rodell; Paul D Bates
Journal:  Water Resour Res       Date:  2017-05-24       Impact factor: 5.240

2.  Human-induced changes in the hydrology of the western United States.

Authors:  Tim P Barnett; David W Pierce; Hugo G Hidalgo; Celine Bonfils; Benjamin D Santer; Tapash Das; Govindasamy Bala; Andrew W Wood; Toru Nozawa; Arthur A Mirin; Daniel R Cayan; Michael D Dettinger
Journal:  Science       Date:  2008-01-31       Impact factor: 47.728

3.  Assimilation of MODIS Snow Cover Fraction Observations into the NASA Catchment Land Surface Model.

Authors:  Ally M Toure; Rolf H Reichle; Barton A Forman; Augusto Getirana; Gabrielle J M De Lannoy
Journal:  Remote Sens (Basel)       Date:  2018-02-19       Impact factor: 4.848

  3 in total

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