TY - BOOK ID - 137234710 TI - Remote Sensing of Precipitation: Part II PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Northern China KW - raindrop size distribution (DSD) KW - microphysical processes KW - quantitative precipitation estimation (QPE) KW - satellite-based precipitation KW - elevation KW - extreme events KW - IMERG-V05B and V06A KW - MSWEP KW - ERA5 KW - SM2RAIN KW - precipitation estimation KW - soil moisture KW - SM2RAIN-CCI KW - SM2RAIN-ASCAT KW - multi-satellite precipitation analysis (TMPA) KW - error decomposition KW - complex topography KW - diverse climate KW - gauge data KW - IMERG KW - TAHMO KW - morphing KW - field displacement KW - TIGGE KW - precipitation KW - numerical weather prediction KW - satellite KW - flood KW - spring 2019 KW - Iran KW - GPM IMERG KW - satellite precipitation KW - spatiotemporal analysis KW - statistical distribution KW - validation KW - Mainland China KW - GSMaP_NRT KW - GSMaP_Gauge_NRT KW - raindrop size distribution KW - radar reflectivity KW - raindrop spectrometer KW - semi-arid area KW - assessment KW - Taiwan KW - data assimilation KW - WRF model KW - high-impact rainfall events KW - GNSS ZTD KW - optimum interpolation KW - geographically weighted regression KW - downscaling KW - Tianshan Mountains KW - satellite precipitation products KW - evaluation KW - daily rainfall KW - hourly rainfall KW - GPM KW - TRMM KW - GNSS KW - GNSS antenna KW - receiver antenna calibration KW - relative calibration KW - Phase Center Variation KW - U-blox KW - goGPS KW - Zenith Tropospheric Delay KW - ZED-F9P KW - GSMaP KW - Nepal KW - cloud radar KW - thunderstorm KW - LDR KW - hydrometeor KW - hydrometeor classification KW - lightning KW - discharge KW - remote sensing KW - SEVIRI KW - ground radar KW - precipitation interpolation KW - geographically and temporally weighted regression KW - time weight function KW - geographically and temporally weighted regression kriging KW - extreme rainfall KW - polarimetric radar signatures KW - quantitative precipitation estimation KW - southern china KW - reanalysis KW - linear trends KW - mainland China KW - EDBF algorithm KW - geospatial predictor KW - spatial pattern KW - weighted precipitation KW - Cyprus KW - bias correction KW - object-based method KW - storm events KW - Thies KW - disdrometer KW - weather circulations KW - convective KW - stratiform KW - rain spectra KW - radar reflectivity–rain rate relationship KW - gridded precipitation products KW - abrupt changes KW - trends KW - statistical indicators KW - agriculture KW - Pakistan KW - rainfall KW - radar KW - extreme precipitation KW - spatial bootstrap KW - Louisiana KW - annual maxima KW - n/a KW - radar reflectivity-rain rate relationship UR - https://www.unicat.be/uniCat?func=search&query=sysid:137234710 AB - Precipitation is a well-recognized pillar in the global water and energy balances. The accurate and timely understanding of its characteristics at the global, regional and local scales is indispensable for a clearer insight on the mechanisms underlying the Earth’s atmosphere-ocean complex system. Precipitation is one of the elements that is documented to be greatly affected by climate change. In its various forms, precipitation comprises the primary source of freshwater, which is vital for the sustainability of almost all human activities. Its socio-economic significance is fundamental in managing this natural resource effectively, in applications ranging from irrigation to industrial and household usage. Remote sensing of precipitation is pursued through a broad spectrum of continuously enriched and upgraded instrumentation, embracing sensors which can be ground-based (e.g., weather radars), satellite-borne (e.g., passive or active space-borne sensors), underwater (e.g., hydrophones), aerial, or ship-borne. This volume hosts original research contributions on several aspects of remote sensing of precipitation, including applications which embrace the use of remote sensing in tackling issues such as precipitation estimation, seasonal characteristics of precipitation and frequency analysis, assessment of satellite precipitation products, storm prediction, rain microphysics and microstructure, and the comparison of satellite and numerical weather prediction precipitation products. ER -