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Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia

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No disponible.

Palabras clave – provistas por la editorial

sensitivity analysis; non-point source pollution models; reservoirs; operation rule; East Asia; climate variability; Qinghai-Tibet Plateau (TP); potential evapotranspiration; precipitation; capacity distribution; GLUE; soil temperature; land use change; JBR; CFSR; Jinsha River Basin; impact; runoff; CMADS; hydrological modeling; aggregated reservoir; reanalysis products; Lijiang River; spatio-temporal; uncertainty; total nitrogen; Han River; streamflow simulation; meteorological; CMADS-ST; Erhai Lake Basin; uncertainty analysis; Biliuhe reservoir; hydrological; bayesian model averaging; blue and green water flows; SUFI-2; TMPA-3B42V7; statistical analysis; satellite-derived rainfall; streamflow; satellite-based products; Xiang River basin; SWAT hydrological simulation; PERSIANN-CDR; hydrological processes; SUFI2; CMADS dataset; ParaSol; hydrological modelling; accumulation; meteorological input uncertainty; soil moisture content; Yellow River; SWAT; Noah LSM-HMS; sediment yield; Yalong River; TRMM; Penman-Monteith; IMERG; PERSIANN; hydrological elements; freeze–thaw period; land-use change; parameter sensitivity; China; reservoir parameters; soil moisture; sloping black soil farmland; hydrological model; SWAT model; hydrologic model

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03921-236-1

País de edición

Suiza