LEADER 07490nam 2202317z- 450 001 9910346859903321 005 20231214133528.0 010 $a3-03921-288-5 035 $a(CKB)4920000000095068 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/58178 035 $a(EXLCZ)994920000000095068 100 $a20202102d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRemote Sensing of Precipitation: Volume 2 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 215 $a1 electronic resource (318 p.) 311 $a3-03921-287-7 330 $aPrecipitation is a well-recognized pillar in global water and energy balances. An accurate and timely understanding of its characteristics at the global, regional, and local scales is indispensable for a clearer understanding of 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 a 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. 517 $aRemote Sensing of Precipitation 610 $asatellite radiance 610 $aWRF-Hydro 610 $ameteorological radar 610 $aQPE 610 $amicrostructure of rain 610 $aTMPA 610 $aevaluation 610 $aprecipitation 610 $avolume matching 610 $aCFSR 610 $aGMI 610 $aterminal velocity 610 $aTRMM-TMPA 610 $asurface rain intensity 610 $aretrieval algorithm 610 $arain gauges 610 $atropical cyclone 610 $aCMORPH 610 $aT-Matrix 610 $aGlobal Precipitation Measurement (GPM) 610 $astatistical evaluation 610 $avertical air velocity 610 $aheavy rainfall prediction 610 $aGPM IMERG v5 610 $aTianshan Mountains 610 $aRed River Basin 610 $aprecipitation retrieval 610 $asatellite precipitation 610 $aPERSIANN-CCS 610 $avalidation network 610 $aPEMW 610 $asatellite rainfall estimate 610 $ahigh latitude 610 $aCyprus 610 $aGPM 610 $awet deposition 610 $aCloudSat 610 $athundercloud 610 $aGPS 610 $asatellite remote sensing 610 $aassessment 610 $anumerical weather prediction 610 $amineral dust 610 $acomplex terrain 610 $amesoscale precipitation patterns 610 $aGNSS meteorology 610 $alumped models 610 $asatellites 610 $aSouthern China 610 $aerror analysis 610 $atopography 610 $acloud scavenging 610 $aradar reflectivity?rain rate relationship 610 $aCHAOS 610 $aRADOLAN 610 $ahydrometeor classification 610 $aTRMM 610 $athunderstorm 610 $aCHIRPS 610 $asatellite precipitation retrieval 610 $aGPM/IMERG 610 $aGSMaP 610 $abias correction 610 $aPrecise Point Positioning 610 $aMainland China 610 $asupercooled droplets detection 610 $aSEID 610 $aSaharan dust transportation 610 $aHuaihe River basin 610 $aGPM Microwave Imager 610 $asatellite 610 $aTMPA 3B42RT 610 $aforecast model 610 $aquality indexes 610 $aSEVIRI 610 $aradiometer 610 $atriple collocation 610 $asatellite precipitation product 610 $aMandra 610 $asynoptic weather types 610 $adrop size distribution (DSD) 610 $aAmazon Basin 610 $aweather radar 610 $aX-band radar 610 $adownscaling 610 $aprecipitation rate 610 $aneural networks 610 $arain rate 610 $aCMIP 610 $aGPM-era IMERG 610 $aGR models 610 $aweather 610 $atyphoon 610 $asatellite rainfall retrievals 610 $aTRMM 3B42 v7 610 $avalidation 610 $alow-cost receivers 610 $arainfall retrieval techniques 610 $asnowfall detection 610 $aGPM satellite 610 $aZenith Tropospheric Delay 610 $a3B42 610 $ahurricane Harvey 610 $aPERSIANN_CDR 610 $aTRMM 3B42 V7 610 $asnow water path retrieval 610 $aDPR 610 $asatellite precipitation adjustment 610 $aPeninsular Spain 610 $aRMAPS 610 $adaily rainfall estimations 610 $astreamflow simulation 610 $aregional climate models 610 $aRed?Thai Binh River Basin 610 $aEnsemble Precipitation (EP) algorithm 610 $acloud radar 610 $adisdrometer 610 $aTRMM-era TMPA 610 $ahydrometeorology 610 $aMSG 610 $aradar data assimilation 610 $adust washout process 610 $arunoff simulations 610 $ageostationary microwave sensors 610 $aradar 610 $atopographical and seasonal evaluation 610 $agoGPS 610 $aXPOL radar 610 $aTMPA 3B42V7 610 $atelemetric rain gauge 610 $aharmonie model 610 $atropical storm rainfall 610 $alinear-scaling approach 610 $aMile?ovka observatory 610 $aprecipitable water vapor 610 $aheavy precipitation 610 $ahydrological simulation 610 $areflectivity 610 $aKa-band 610 $aTibetan Plateau 610 $asatellite rainfall estimates 610 $aregional rainfall regimes 610 $aLai Nullah 610 $amicrowave scattering 610 $aremote sensing 610 $apre-processing 610 $arainfall rate 610 $aMSWEP 610 $aclimatology 610 $aVIC model 610 $aCMORPH_CRT 610 $aIMERG 610 $asingle frequency GNSS 610 $aPERSIANN 610 $aflood-inducing storm 610 $aclimate models 610 $aPakistan 610 $aprecipitating hydrometeor 610 $adata assimilation 610 $arainfall 610 $akriging with external drift 610 $adual-polarization 610 $aquantitative precipitation estimates 610 $aflash flood 610 $aSatellite Precipitation Estimates 610 $agridded radar precipitation 610 $aregional rainfall sub-regimes 610 $apolar systems 700 $aMichaelides$b Silas$4auth$01292430 906 $aBOOK 912 $a9910346859903321 996 $aRemote Sensing of Precipitation: Volume 2$93022298 997 $aUNINA