edu.ucar.opensky::articles:19317 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-26T02:39:33.907977 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d76975b9 https://doi.org/10.5066/F7WM1BF7 https Related Dataset #1 Preliminary spatial parameters for PRMS based on the Geospatial Fabric, NLCD2001, and SSURGO https://doi.org/10.5066/F7542KMD https Related Dataset #2 GIS Features of the Geospatial Fabric for National Hydrologic Modeling https://doi.org/10.3334/ORNLDAAC/1219 https Related Dataset #3 Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 2 Towards simplification of hydrologic modeling: identification of dominant processes 2016-11-22T00:00:00Z publication https://n2t.org/ark:/85065/d76975b9 https://doi.org/10.5194/hess-20-4655-2016 Markstrom, S. L. author Hay, L. E. author Clark, Martyn P. author UCAR/NCAR - Library publisher The Precipitation-Runoff Modeling System (PRMS), a distributed-parameter hydrologic model, has been applied to the conterminous US (CONUS). Parameter sensitivity analysis was used to identify: (1) the sensitive input parameters and (2) particular model output variables that could be associated with the dominant hydrologic process(es). Sensitivity values of 35 PRMS calibration parameters were computed using the Fourier amplitude sensitivity test procedure on 110 000 independent hydrologically based spatial modeling units covering the CONUS and then summarized to process (snowmelt, surface runoff, infiltration, soil moisture, evapotranspiration, interflow, baseflow, and runoff) and model performance statistic (mean, coefficient of variation, and autoregressive lag 1). Identified parameters and processes provide insight into model performance at the location of each unit and allow the modeler to identify the most dominant process on the basis of which processes are associated with the most sensitive parameters. 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 Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License. None eng geoscientificInformation