Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World

• Autore: Zhang Yongqiang
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (216 p.)
• Soggetto topico: Research & information: general
• Soggetto non controllato: 5G; arid ungauged regions; assimilation frequency; calibration; climate change; coefficient of variability; coupled atmospheric-hydrologic system; data assimilation; design rainfall; double-mass analysis; E-band; ecological water transfer; Ephemeral rivers; evaporation; evapotranspiration; flash flood; flood peak discharge; flux tower; grid-based Hebei model; hydrological prediction; IDF formula; incipient motion; Integrated Multi-Satellite Retrievals for Global Precipitation Measurement; LAI; land use change; LOS-MIMO; lumped Hebei model; millimeter-wave; MK-S trend analysis; model; NDVI; northwestern China; Penman-Monteith equation; PML-V2; radar reflectivity; rain rate estimation; rainfall forecast; rainfall monitoring; Rainfall Triggering Index; rainfall-runoff prediction; RainyDay; regression; remote sensing; seasonal ARIMA; Sentinel-2; Sierra Nevada; sponge city; surface and groundwater interaction; SWAT; UAV remote sensing; ungauged drainage basin; urban ecosystem; urban flood; vapor pressure deficit; water limitation; wetland vegetation ecosystem; WRF-3DAVR; WRF-3DVar data assimilation; WRF-Hydro modeling system; Yunnan
• Persona (resp. second.): RyuDongryeol; ZhengDonghai; ZhangYongqiang
• Sommario/riassunto: 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.
• Titolo autorizzato: Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557426703321
• Lo trovi qui: Univ. Federico II