LEADER 06504nam 2201777z- 450 001 9910557704903321 005 20220111 035 $a(CKB)5400000000046230 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/77037 035 $a(oapen)doab77037 035 $a(EXLCZ)995400000000046230 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRemote Sensing of Precipitation: Part II 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (594 p.) 311 08$a3-0365-2327-8 311 08$a3-0365-2328-6 330 $aPrecipitation 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. 517 $aRemote Sensing of Precipitation 606 $aResearch & information: general$2bicssc 610 $aabrupt changes 610 $aagriculture 610 $aannual maxima 610 $aassessment 610 $abias correction 610 $acloud radar 610 $acomplex topography 610 $aconvective 610 $aCyprus 610 $adaily rainfall 610 $adata assimilation 610 $adischarge 610 $adisdrometer 610 $adiverse climate 610 $adownscaling 610 $aEDBF algorithm 610 $aelevation 610 $aERA5 610 $aerror decomposition 610 $aevaluation 610 $aextreme events 610 $aextreme precipitation 610 $aextreme rainfall 610 $afield displacement 610 $aflood 610 $agauge data 610 $ageographically and temporally weighted regression 610 $ageographically and temporally weighted regression kriging 610 $ageographically weighted regression 610 $ageospatial predictor 610 $aGNSS 610 $aGNSS antenna 610 $aGNSS ZTD 610 $agoGPS 610 $aGPM 610 $aGPM IMERG 610 $agridded precipitation products 610 $aground radar 610 $aGSMaP 610 $aGSMaP_Gauge_NRT 610 $aGSMaP_NRT 610 $ahigh-impact rainfall events 610 $ahourly rainfall 610 $ahydrometeor 610 $ahydrometeor classification 610 $aIMERG 610 $aIMERG-V05B and V06A 610 $aIran 610 $aLDR 610 $alightning 610 $alinear trends 610 $aLouisiana 610 $amainland China 610 $aMainland China 610 $amicrophysical processes 610 $amorphing 610 $aMSWEP 610 $amulti-satellite precipitation analysis (TMPA) 610 $an/a 610 $aNepal 610 $aNorthern China 610 $anumerical weather prediction 610 $aobject-based method 610 $aoptimum interpolation 610 $aPakistan 610 $aPhase Center Variation 610 $apolarimetric radar signatures 610 $aprecipitation 610 $aprecipitation estimation 610 $aprecipitation interpolation 610 $aquantitative precipitation estimation 610 $aquantitative precipitation estimation (QPE) 610 $aradar 610 $aradar reflectivity 610 $aradar reflectivity-rain rate relationship 610 $arain spectra 610 $araindrop size distribution 610 $araindrop size distribution (DSD) 610 $araindrop spectrometer 610 $arainfall 610 $areanalysis 610 $areceiver antenna calibration 610 $arelative calibration 610 $aremote sensing 610 $asatellite 610 $asatellite precipitation 610 $asatellite precipitation products 610 $asatellite-based precipitation 610 $asemi-arid area 610 $aSEVIRI 610 $aSM2RAIN 610 $aSM2RAIN-ASCAT 610 $aSM2RAIN-CCI 610 $asoil moisture 610 $asouthern china 610 $aspatial bootstrap 610 $aspatial pattern 610 $aspatiotemporal analysis 610 $aspring 2019 610 $astatistical distribution 610 $astatistical indicators 610 $astorm events 610 $astratiform 610 $aTAHMO 610 $aTaiwan 610 $aThies 610 $athunderstorm 610 $aTianshan Mountains 610 $aTIGGE 610 $atime weight function 610 $atrends 610 $aTRMM 610 $aU-blox 610 $avalidation 610 $aweather circulations 610 $aweighted precipitation 610 $aWRF model 610 $aZED-F9P 610 $aZenith Tropospheric Delay 615 7$aResearch & information: general 700 $aMichaelides$b Silas$4edt$01292430 702 $aMichaelides$b Silas$4oth 906 $aBOOK 912 $a9910557704903321 996 $aRemote Sensing of Precipitation: Part II$93026991 997 $aUNINA