LEADER 06469nam 2201753z- 450 001 9910557704903321 005 20231214133355.0 035 $a(CKB)5400000000046230 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/77037 035 $a(EXLCZ)995400000000046230 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRemote Sensing of Precipitation: Part II 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (594 p.) 311 $a3-0365-2327-8 311 $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 $aNorthern China 610 $araindrop size distribution (DSD) 610 $amicrophysical processes 610 $aquantitative precipitation estimation (QPE) 610 $asatellite-based precipitation 610 $aelevation 610 $aextreme events 610 $aIMERG-V05B and V06A 610 $aMSWEP 610 $aERA5 610 $aSM2RAIN 610 $aprecipitation estimation 610 $asoil moisture 610 $aSM2RAIN-CCI 610 $aSM2RAIN-ASCAT 610 $amulti-satellite precipitation analysis (TMPA) 610 $aerror decomposition 610 $acomplex topography 610 $adiverse climate 610 $agauge data 610 $aIMERG 610 $aTAHMO 610 $amorphing 610 $afield displacement 610 $aTIGGE 610 $aprecipitation 610 $anumerical weather prediction 610 $asatellite 610 $aflood 610 $aspring 2019 610 $aIran 610 $aGPM IMERG 610 $asatellite precipitation 610 $aspatiotemporal analysis 610 $astatistical distribution 610 $avalidation 610 $aMainland China 610 $aGSMaP_NRT 610 $aGSMaP_Gauge_NRT 610 $araindrop size distribution 610 $aradar reflectivity 610 $araindrop spectrometer 610 $asemi-arid area 610 $aassessment 610 $aTaiwan 610 $adata assimilation 610 $aWRF model 610 $ahigh-impact rainfall events 610 $aGNSS ZTD 610 $aoptimum interpolation 610 $ageographically weighted regression 610 $adownscaling 610 $aTianshan Mountains 610 $asatellite precipitation products 610 $aevaluation 610 $adaily rainfall 610 $ahourly rainfall 610 $aGPM 610 $aTRMM 610 $aGNSS 610 $aGNSS antenna 610 $areceiver antenna calibration 610 $arelative calibration 610 $aPhase Center Variation 610 $aU-blox 610 $agoGPS 610 $aZenith Tropospheric Delay 610 $aZED-F9P 610 $aGSMaP 610 $aNepal 610 $acloud radar 610 $athunderstorm 610 $aLDR 610 $ahydrometeor 610 $ahydrometeor classification 610 $alightning 610 $adischarge 610 $aremote sensing 610 $aSEVIRI 610 $aground radar 610 $aprecipitation interpolation 610 $ageographically and temporally weighted regression 610 $atime weight function 610 $ageographically and temporally weighted regression kriging 610 $aextreme rainfall 610 $apolarimetric radar signatures 610 $aquantitative precipitation estimation 610 $asouthern china 610 $areanalysis 610 $alinear trends 610 $amainland China 610 $aEDBF algorithm 610 $ageospatial predictor 610 $aspatial pattern 610 $aweighted precipitation 610 $aCyprus 610 $abias correction 610 $aobject-based method 610 $astorm events 610 $aThies 610 $adisdrometer 610 $aweather circulations 610 $aconvective 610 $astratiform 610 $arain spectra 610 $aradar reflectivity-rain rate relationship 610 $agridded precipitation products 610 $aabrupt changes 610 $atrends 610 $astatistical indicators 610 $aagriculture 610 $aPakistan 610 $arainfall 610 $aradar 610 $aextreme precipitation 610 $aspatial bootstrap 610 $aLouisiana 610 $aannual maxima 615 7$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