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

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

rainfall monitoring; remote sensing; rain rate estimation; 5G; millimeter-wave; E-band; LOS-MIMO; UAV remote sensing; Ephemeral rivers; flood peak discharge; incipient motion; arid ungauged regions; flash flood; Integrated Multi-Satellite Retrievals for Global Precipitation Measurement; Rainfall Triggering Index; Yunnan; ecological water transfer; wetland vegetation ecosystem; surface and groundwater interaction; northwestern China; WRF-3DVar data assimilation; coupled atmospheric-hydrologic system; rainfall-runoff prediction; lumped Hebei model; grid-based Hebei model; WRF-Hydro modeling system; evapotranspiration; model; SWAT; calibration; regression; Sierra Nevada; flux tower; water limitation; vapor pressure deficit; double-mass analysis; coefficient of variability; seasonal ARIMA; MK-S trend analysis; evaporation; LAI; NDVI; urban ecosystem; sponge city; PML-V2; Penman–Monteith equation; Sentinel-2; assimilation frequency; data assimilation; WRF-3DAVR; radar reflectivity; rainfall forecast; urban flood; design rainfall; ungauged drainage basin; RainyDay; IDF formula; hydrological prediction; climate change; land use change

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-2332-3

País de edición

Suiza