LEADER 00877nam0 2200265 450 001 9910335560503321 005 20190906104219.0 010 $a978-88-921-1442-5 100 $a20190906d2018----km y0itay50 ba 101 0 $aita 102 $aIT 105 $aa 001yy 200 1 $aStrategie di marketing dei territori e ruolo dei mega eventi$eil caso Napoli$fMarcello Risitano, Annarita Sorrentino$gpostfazione di Luigi de Magistris 210 $aTorino$cGiappichelli$d2018 215 $aXIX, 230 p.$cill.$d24 cm 700 1$aRisitano$bMarcello$0506237 701 1$aSorrentino$bAnnarita$0766851 702 1$aDe Magistris$bLuigi 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a9910335560503321 952 $aAZTUR44A$b2344$fDECBC 959 $aDECBC 996 $aStrategie di marketing dei territori e ruolo dei mega eventi$91560625 997 $aUNINA LEADER 00779nam0-2200265 --450 001 9910371458403321 005 20200212133016.0 010 $a9783515107525 100 $a20200212d2014----kmuy0itay5050 ba 101 0 $aeng 102 $aDE 105 $ay 001yy 200 1 $aBona dea and the cults of roman women$fAttilio Mastrocinque 210 $aStuttgart$cF. Steiner$d2014 215 $a209 p.$cill.$d24 cm 225 1 $aPotsdamer Altertumswissenschaftliche Beiträge$v49 676 $a292.211 700 1$aMastrocinque,$bAttilio$0172446 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910371458403321 952 $a292.211 MAS 1$b2020/142$fFLFBC 959 $aFLFBC 996 $aBona dea and the cults of roman women$91668385 997 $aUNINA LEADER 07888nam 22024373a 450 001 9910346859903321 005 20250203235426.0 010 $a9783039212880 010 $a3039212885 024 8 $a10.3390/books978-3-03921-288-0 035 $a(CKB)4920000000095068 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/58178 035 $a(ScCtBLL)df545e02-3ef2-4214-bc20-cf2b1ac21946 035 $a(OCoLC)1126121937 035 $a(oapen)doab58178 035 $a(EXLCZ)994920000000095068 100 $a20250203i20192019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRemote Sensing of Precipitation: Volume 2$fSilas Michaelides 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2019 210 1$aBasel, Switzerland :$cMDPI,$d2019. 215 $a1 electronic resource (318 p.) 311 08$a9783039212873 311 08$a3039212877 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. 606 $aHistory of engineering and technology$2bicssc 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 $apolar systems 615 7$aHistory of engineering and technology 700 $aMichaelides$b Silas$01292430 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910346859903321 996 $aRemote Sensing of Precipitation: Volume 2$93022298 997 $aUNINA