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Remote Sensing of Precipitation: Remote Sensing of Precipitation

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Palabras clave – provistas por la editorial

Northern China; raindrop size distribution (DSD); microphysical processes; quantitative precipitation estimation (QPE); satellite-based precipitation; elevation; extreme events; IMERG-V05B and V06A; MSWEP; ERA5; SM2RAIN; precipitation estimation; soil moisture; SM2RAIN-CCI; SM2RAIN-ASCAT; multi-satellite precipitation analysis (TMPA); error decomposition; complex topography; diverse climate; gauge data; IMERG; TAHMO; morphing; field displacement; TIGGE; precipitation; numerical weather prediction; satellite; flood; spring 2019; Iran; GPM IMERG; satellite precipitation; spatiotemporal analysis; statistical distribution; validation; Mainland China; GSMaP_NRT; GSMaP_Gauge_NRT; raindrop size distribution; radar reflectivity; raindrop spectrometer; semi-arid area; assessment; Taiwan; data assimilation; WRF model; high-impact rainfall events; GNSS ZTD; optimum interpolation; geographically weighted regression; downscaling; Tianshan Mountains; satellite precipitation products; evaluation; daily rainfall; hourly rainfall; GPM; TRMM; GNSS; GNSS antenna; receiver antenna calibration; relative calibration; Phase Center Variation; U-blox; goGPS; Zenith Tropospheric Delay; ZED-F9P; GSMaP; Nepal; cloud radar; thunderstorm; LDR; hydrometeor; hydrometeor classification; lightning; discharge; remote sensing; SEVIRI; ground radar; precipitation interpolation; geographically and temporally weighted regression; time weight function; geographically and temporally weighted regression kriging; extreme rainfall; polarimetric radar signatures; quantitative precipitation estimation; southern china; reanalysis; linear trends; mainland China; EDBF algorithm; geospatial predictor; spatial pattern; weighted precipitation; Cyprus; bias correction; object-based method; storm events; Thies; disdrometer; weather circulations; convective; stratiform; rain spectra; radar reflectivity–rain rate relationship; gridded precipitation products; abrupt changes; trends; statistical indicators; agriculture; Pakistan; rainfall; radar; extreme precipitation; spatial bootstrap; Louisiana; annual maxima; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-2328-6

País de edición

Suiza