Comparison of snow data assimilation system with GPS reflectometry snow depth in the Western United States

dc.contributorUniversity of Colorado Boulder
dc.contributorUniversity Corporation for Atmospheric Research
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.creatorBoniface, K.
dc.creatorBraun, J. J.
dc.creatorMcCreight, J. L.
dc.creatorNievinski, F. G. [UNESP]
dc.date2015-10-21T20:48:27Z
dc.date2015-10-21T20:48:27Z
dc.date2015-05-15
dc.date.accessioned2023-09-12T06:52:21Z
dc.date.available2023-09-12T06:52:21Z
dc.identifierhttp://onlinelibrary.wiley.com/doi/10.1002/hyp.10346/full
dc.identifierHydrological Processes. Hoboken: Wiley-blackwell, v. 29, n. 10, p. 2425-2437, 2015.
dc.identifier0885-6087
dc.identifierhttp://hdl.handle.net/11449/129307
dc.identifier10.1002/hyp.10346
dc.identifierWOS:000353296900012
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8778647
dc.descriptionIn this study, we compare gridded snow depth estimates from the Snow Data Assimilation System (SNODAS) with snow depth observations derived from GPS interferometric reflectometry (GPS-IR) from roughly 100 Plate Boundary Observatory sites in the Western United States spanning four water-years (2010-2013). Data from these sites are not assimilated by SNODAS; thus, GPS-IR measurements provide an independent data set to evaluate SNODAS. Our results indicate that at 80% of the sites, SNODAS and GPS-IR snow depth agree to better than 15-cm root mean square error, with correlation coefficients greater than 0.6. Significant differences are found between GPS-IR and SNODAS for sites that are distant from other point measurements, are located in complex terrain or are in areas with strong vegetation heterogeneities. GPS-IR estimates of snow depth are shown to provide useful error characterization of SNODAS products across much of the Western United States and may have potential as an additional data assimilation source that could help improve SNODAS estimates. (c) 2014 The Authors. Hydrological Processes published by John Wiley &Sons Ltd.
dc.descriptionNational Science Foundation
dc.descriptionNational Aeronautics and Space Administration
dc.descriptionNational Science Foundation (NSF)
dc.descriptionCNES
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionDepartment of Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, USA
dc.descriptionConstellation Observing System for Meteorology, Ionosphere, and Climate, University Corporation for Atmospheric Research, Boulder, Colorado, USA
dc.descriptionDepartamento de Cartografia, Faculdade de Ciências e Tecnologia, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’, Presidente Prudente, Brazil
dc.descriptionNSF: 0935728
dc.descriptionNational Aeronautics and Space Administration: NNXIIAR48G
dc.descriptionCNPq: 372541/2013-5
dc.format2425-2437
dc.languageeng
dc.publisherWiley-Blackwell
dc.relationHydrological Processes
dc.relation3.181
dc.relation1,566
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectGPS
dc.subjectSnow
dc.subjectSNODAS
dc.subjectReflectometry
dc.subjectRemote sensing
dc.titleComparison of snow data assimilation system with GPS reflectometry snow depth in the Western United States
dc.typeArtigo


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