04322nam 2201105z- 450 991055742670332120220111(CKB)5400000000043457(oapen)https://directory.doabooks.org/handle/20.500.12854/76951(oapen)doab76951(EXLCZ)99540000000004345720202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierUsing Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing WorldBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (216 p.)3-0365-2331-6 3-0365-2332-4 Remotely sensed geophysical datasets are being produced at increasingly fast rates to monitor various aspects of the Earth system in a rapidly changing world. The efficient and innovative use of these datasets to understand hydrological processes in various climatic and vegetation regimes under anthropogenic impacts has become an important challenge, but with a wide range of research opportunities. The ten contributions in this Special Issue have addressed the following four research topics: (1) Evapotranspiration estimation; (2) rainfall monitoring and prediction; (3) flood simulations and predictions; and (4) monitoring of ecohydrological processes using remote sensing techniques. Moreover, the authors have provided broader discussions on how to capitalize on state-of-the-art remote sensing techniques to improve hydrological model simulations and predictions, to enhance their skills in reproducing processes for the fast-changing world.Research & information: generalbicssc5Garid ungauged regionsassimilation frequencycalibrationclimate changecoefficient of variabilitycoupled atmospheric-hydrologic systemdata assimilationdesign rainfalldouble-mass analysisE-bandecological water transferEphemeral riversevaporationevapotranspirationflash floodflood peak dischargeflux towergrid-based Hebei modelhydrological predictionIDF formulaincipient motionIntegrated Multi-Satellite Retrievals for Global Precipitation MeasurementLAIland use changeLOS-MIMOlumped Hebei modelmillimeter-waveMK-S trend analysismodelNDVInorthwestern ChinaPenman-Monteith equationPML-V2radar reflectivityrain rate estimationrainfall forecastrainfall monitoringRainfall Triggering Indexrainfall-runoff predictionRainyDayregressionremote sensingseasonal ARIMASentinel-2Sierra Nevadasponge citysurface and groundwater interactionSWATUAV remote sensingungauged drainage basinurban ecosystemurban floodvapor pressure deficitwater limitationwetland vegetation ecosystemWRF-3DAVRWRF-3DVar data assimilationWRF-Hydro modeling systemYunnanResearch & information: generalZhang Yongqiangedt1297609Ryu DongryeoledtZheng DonghaiedtZhang YongqiangothRyu DongryeolothZheng DonghaiothBOOK9910557426703321Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World3024609UNINA