edu.ucar.opensky::articles:21456 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-26T02:24:44.562286 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7m61nwp https://doi.org/10.5067/KJVERY3MIBPS https Related Dataset #1 Global Monthly EASE-Grid Snow Water Equivalent Climatology, Version 1 https://doi.org/10.3334/ORNLDAAC/1225 https Related Dataset #2 NACP MsTMIP: Global 0.5-degree Model Outputs in Standard Format, Version 1.0 Evaluation of snow water equivalent in NARCCAP simulations, including measures of observational uncertainty 2017-09-01T00:00:00Z publication https://n2t.org/ark:/85065/d7m61nwp https://doi.org/10.1175/JHM-D-16-0264.1 McCrary, Rachel author McGinnis, Seth A. author Mearns, Linda O. author UCAR/NCAR - Library publisher This study evaluates snow water equivalent (SWE) over North America in the reanalysis-driven NARC-CAP regional climate model (RCM) experiments. Examination of SWE in these runs allows for the identification of bias due to RCM configuration, separate from inherited GCM bias. SWE from the models is compared to SWE from a new ensemble observational product to evaluate the RCMs' ability to capture the magnitude, spatial distribution, duration, and timing of the snow season. This new dataset includes data from 14 different sources in five different types. Consideration of the associated uncertainty in observed SWE strongly influences the appearance of bias in RCM-generated SWE. Of the sixNARCCAP RCMs, the version of MM5run by Iowa State University (MM5I) is found to best represent SWE despite its use of the Noah land surface model. CRCM overestimates SWE because of cold temperature biases and surface temperature parameterization options, while RegCM3 (RCM3) does so because of excessive precipitation. HadRM3 (HRM3) underestimates SWE because of warm temperature biases, while in the version of WRF using the Grell scheme (WRFG) and ECPC-RSM (ECP2), the misrepresentation of snow in the Noah land surface model plays the dominant role in SWE bias, particularly in ECP2 where sublimation is too high. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright 2017 American Meteorological Society (AMS). None eng geoscientificInformation