Matches in SemOpenAlex for { <https://semopenalex.org/work/W2092216098> ?p ?o ?g. }
- W2092216098 endingPage "667" @default.
- W2092216098 startingPage "663" @default.
- W2092216098 abstract "An innovative flood-prediction framework is developed using Tropical Rainfall Measuring Mission precipitation forcing and a proxy for river discharge from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) onboard the National Aeronautics and Space Administration's Aqua satellite. The AMSR-E-detected water surface signal was correlated with in situ measurements of streamflow in the Okavango Basin in Southern Africa as indicated by a Pearson correlation coefficient of 0.90. A distributed hydrologic model, with structural data sets derived from remote-sensing data, was calibrated to yield simulations matching the flood frequencies from the AMSR-E-detected water surface signal. Model performance during a validation period yielded a Nash-Sutcliffe efficiency of 0.84. We concluded that remote-sensing data from microwave sensors could be used to supplement stream gauges in large sparsely gauged or ungauged basins to calibrate hydrologic models. Given the global availability of all required data sets, this approach can be potentially expanded to improve flood monitoring and prediction in sparsely gauged basins throughout the world." @default.
- W2092216098 created "2016-06-24" @default.
- W2092216098 creator A5000681173 @default.
- W2092216098 creator A5019892851 @default.
- W2092216098 creator A5050489283 @default.
- W2092216098 creator A5050844453 @default.
- W2092216098 creator A5051140770 @default.
- W2092216098 creator A5070699951 @default.
- W2092216098 creator A5071208348 @default.
- W2092216098 creator A5073794558 @default.
- W2092216098 creator A5073952057 @default.
- W2092216098 date "2012-07-01" @default.
- W2092216098 modified "2023-10-14" @default.
- W2092216098 title "Microwave Satellite Data for Hydrologic Modeling in Ungauged Basins" @default.
- W2092216098 cites W1524607844 @default.
- W2092216098 cites W1662579755 @default.
- W2092216098 cites W1952993878 @default.
- W2092216098 cites W1987745139 @default.
- W2092216098 cites W2006821093 @default.
- W2092216098 cites W2009584434 @default.
- W2092216098 cites W2019226303 @default.
- W2092216098 cites W2026766393 @default.
- W2092216098 cites W2029673686 @default.
- W2092216098 cites W2033602192 @default.
- W2092216098 cites W2036665702 @default.
- W2092216098 cites W2036774006 @default.
- W2092216098 cites W2046517373 @default.
- W2092216098 cites W2047725706 @default.
- W2092216098 cites W2055224010 @default.
- W2092216098 cites W2060747052 @default.
- W2092216098 cites W2061082263 @default.
- W2092216098 cites W2062450395 @default.
- W2092216098 cites W2082138739 @default.
- W2092216098 cites W2095823625 @default.
- W2092216098 cites W2096586519 @default.
- W2092216098 cites W2102194164 @default.
- W2092216098 cites W2105399274 @default.
- W2092216098 cites W2115418440 @default.
- W2092216098 cites W2116715631 @default.
- W2092216098 cites W2119427313 @default.
- W2092216098 cites W2120672985 @default.
- W2092216098 cites W2151545251 @default.
- W2092216098 cites W2151682467 @default.
- W2092216098 cites W2158017568 @default.
- W2092216098 cites W2160781703 @default.
- W2092216098 cites W2162719469 @default.
- W2092216098 cites W33954318 @default.
- W2092216098 cites W4234654160 @default.
- W2092216098 cites W4234963929 @default.
- W2092216098 doi "https://doi.org/10.1109/lgrs.2011.2177807" @default.
- W2092216098 hasPublicationYear "2012" @default.
- W2092216098 type Work @default.
- W2092216098 sameAs 2092216098 @default.
- W2092216098 citedByCount "48" @default.
- W2092216098 countsByYear W20922160982013 @default.
- W2092216098 countsByYear W20922160982014 @default.
- W2092216098 countsByYear W20922160982015 @default.
- W2092216098 countsByYear W20922160982016 @default.
- W2092216098 countsByYear W20922160982017 @default.
- W2092216098 countsByYear W20922160982018 @default.
- W2092216098 countsByYear W20922160982019 @default.
- W2092216098 countsByYear W20922160982020 @default.
- W2092216098 countsByYear W20922160982021 @default.
- W2092216098 countsByYear W20922160982023 @default.
- W2092216098 crossrefType "journal-article" @default.
- W2092216098 hasAuthorship W2092216098A5000681173 @default.
- W2092216098 hasAuthorship W2092216098A5019892851 @default.
- W2092216098 hasAuthorship W2092216098A5050489283 @default.
- W2092216098 hasAuthorship W2092216098A5050844453 @default.
- W2092216098 hasAuthorship W2092216098A5051140770 @default.
- W2092216098 hasAuthorship W2092216098A5070699951 @default.
- W2092216098 hasAuthorship W2092216098A5071208348 @default.
- W2092216098 hasAuthorship W2092216098A5073794558 @default.
- W2092216098 hasAuthorship W2092216098A5073952057 @default.
- W2092216098 hasConcept C107054158 @default.
- W2092216098 hasConcept C120189094 @default.
- W2092216098 hasConcept C126197015 @default.
- W2092216098 hasConcept C126645576 @default.
- W2092216098 hasConcept C127313418 @default.
- W2092216098 hasConcept C127413603 @default.
- W2092216098 hasConcept C146978453 @default.
- W2092216098 hasConcept C153294291 @default.
- W2092216098 hasConcept C166957645 @default.
- W2092216098 hasConcept C183195422 @default.
- W2092216098 hasConcept C19269812 @default.
- W2092216098 hasConcept C205649164 @default.
- W2092216098 hasConcept C2776422048 @default.
- W2092216098 hasConcept C29278236 @default.
- W2092216098 hasConcept C39432304 @default.
- W2092216098 hasConcept C41008148 @default.
- W2092216098 hasConcept C44838205 @default.
- W2092216098 hasConcept C49204034 @default.
- W2092216098 hasConcept C53739315 @default.
- W2092216098 hasConcept C53802167 @default.
- W2092216098 hasConcept C58640448 @default.
- W2092216098 hasConcept C62649853 @default.
- W2092216098 hasConcept C74256435 @default.
- W2092216098 hasConcept C76155785 @default.