Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/35013
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dc.contributor.authorLetcher, Theodore W.-
dc.contributor.authorVuyovich, Carrie M.-
dc.contributor.authorJacobs, Jennifer M.-
dc.date.accessioned2019-12-26T15:10:45Z-
dc.date.available2019-12-26T15:10:45Z-
dc.date.issued2019-12-
dc.identifier.govdocERDC/CRREL TR-19-25-
dc.identifier.urihttps://hdl.handle.net/11681/35013-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/35013-
dc.descriptionTechnical Report-
dc.description.abstractAssessing rapid changes in snow storage during spring is critical for predicting river flooding along the Red River in the north-central United States. While passive microwave retrievals of snow water equivalent (SWE) over the Red River water basin are generally accurate, they are less certain during the spring due to snowmelt events. These degrade the SWE retrieval algorithms by introducing liquid water into the snowpack. To increase confidence in daily SWE estimates over the Red River basin, we use the concept of a SWE depletion curve to relate basin mean SWE to snow-covered area (SCA) as determined by the MODIS cloud-gap-filled daily SCA product. We use this concept to derive an empirical relationship between SWE and SCA over the Red River basin from 11 years of satellite observations (2007–2018). This relationship relies on the climatologically accurate passive microwave SWE product to mitigate acute inaccuracies in daily SWE retrievals caused by data gaps and complicated snowpack properties. In a comparison of SWE derived from the empirical SCA relation-ship to SWE estimated from the Snow Data Assimilation product, we find substantial quantitative improvement over the passive microwave SWE product during the spring melt season.en_US
dc.description.sponsorshipUnited States. National Aeronautics and Space Administration.en_US
dc.description.tableofcontentsAbstract .......................................................................................................................................................... ii Figures and Tables ........................................................................................................................................ iv Preface ............................................................................................................................................................. v Acronyms and Abbreviations ...................................................................................................................... vi 1 Introduction ............................................................................................................................................ 1 1.1 Background ..................................................................................................................... 1 1.2 Objectives ........................................................................................................................ 2 1.3 Approach ......................................................................................................................... 2 2 Data and Methods ................................................................................................................................ 4 2.1 MODIS cloud-gap-filled snow-covered area ................................................................... 4 2.2 NSIDC snow water equivalent ........................................................................................ 4 2.3 Snow-depletion-curve derivation ................................................................................... 5 2.4 Snow Data Assimilation System evaluation data set .................................................... 7 2.5 Red River Basin data masking ....................................................................................... 8 2.6 Evaluation methodology ................................................................................................. 9 2.7 SDC climatological size requirements ......................................................................... 10 2.8 SDC spatial patterns ..................................................................................................... 10 3 Results ..................................................................................................................................................12 3.1 Qualitative assessment of SWESDC .............................................................................. 12 3.2 Bulk quantitative analysis ............................................................................................ 14 3.3 SDC climatological size requirements analysis ........................................................... 15 3.4 Subbasin statistical analysis ........................................................................................ 17 4 Conclusions .......................................................................................................................................... 19 References ................................................................................................................................................... 20 Report Documentation Page-
dc.format.extent32 pages / 1.545 Mb-
dc.format.mediumPDF/A-
dc.language.isoen_USen_US
dc.publisherCold Regions Research and Engineering Laboratory (U.S.)en_US
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relation.ispartofseriesTechnical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/CRREL TR-19-25-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectHydrologic modelsen_US
dc.subjectHydrologyen_US
dc.subjectMelten_US
dc.subjectModelen_US
dc.subjectMODISen_US
dc.subjectPredictionen_US
dc.subjectRed River of the Northen_US
dc.subjectRunoffen_US
dc.subjectSatelliteen_US
dc.subjectSnowen_US
dc.titleImproving snow estimates over the Red River basin during the spring using empirical relationships between satellite snow water equivalent and snow-covered areaen_US
dc.typeReporten_US
Appears in Collections:Technical Report

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