000 07605naaaa2202269uu 4500
001 https://directory.doabooks.org/handle/20.500.12854/58177
005 20220220055651.0
020 _abooks978-3-03921-286-6
020 _a9783039212859
020 _a9783039212866
024 7 _a10.3390/books978-3-03921-286-6
_cdoi
041 0 _aEnglish
042 _adc
100 1 _aMichaelides, Silas
_4auth
245 1 0 _aRemote Sensing of Precipitation: Volume 1
260 _bMDPI - Multidisciplinary Digital Publishing Institute
_c2019
300 _a1 electronic resource (480 p.)
506 0 _aOpen Access
_2star
_fUnrestricted online access
520 _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.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by-nc-nd/4.0/
_2cc
_4https://creativecommons.org/licenses/by-nc-nd/4.0/
546 _aEnglish
653 _asatellite radiance
653 _aWRF-Hydro
653 _ameteorological radar
653 _aQPE
653 _amicrostructure of rain
653 _aTMPA
653 _aevaluation
653 _aprecipitation
653 _avolume matching
653 _aCFSR
653 _aGMI
653 _aterminal velocity
653 _aTRMM-TMPA
653 _asurface rain intensity
653 _aretrieval algorithm
653 _arain gauges
653 _atropical cyclone
653 _aCMORPH
653 _aT-Matrix
653 _aGlobal Precipitation Measurement (GPM)
653 _astatistical evaluation
653 _avertical air velocity
653 _aheavy rainfall prediction
653 _aGPM IMERG v5
653 _aTianshan Mountains
653 _aRed River Basin
653 _aprecipitation retrieval
653 _asatellite precipitation
653 _aPERSIANN-CCS
653 _avalidation network
653 _aPEMW
653 _asatellite rainfall estimate
653 _ahigh latitude
653 _aCyprus
653 _aGPM
653 _awet deposition
653 _aCloudSat
653 _athundercloud
653 _aGPS
653 _asatellite remote sensing
653 _aassessment
653 _anumerical weather prediction
653 _amineral dust
653 _acomplex terrain
653 _amesoscale precipitation patterns
653 _aGNSS meteorology
653 _alumped models
653 _asatellites
653 _aSouthern China
653 _aerror analysis
653 _atopography
653 _acloud scavenging
653 _aradar reflectivity–rain rate relationship
653 _aCHAOS
653 _aRADOLAN
653 _ahydrometeor classification
653 _aTRMM
653 _athunderstorm
653 _aCHIRPS
653 _asatellite precipitation retrieval
653 _aGPM/IMERG
653 _aGSMaP
653 _abias correction
653 _aPrecise Point Positioning
653 _aMainland China
653 _asupercooled droplets detection
653 _aSEID
653 _aSaharan dust transportation
653 _aHuaihe River basin
653 _aGPM Microwave Imager
653 _asatellite
653 _aTMPA 3B42RT
653 _aforecast model
653 _aquality indexes
653 _aSEVIRI
653 _aradiometer
653 _atriple collocation
653 _asatellite precipitation product
653 _aMandra
653 _asynoptic weather types
653 _adrop size distribution (DSD)
653 _aAmazon Basin
653 _aweather radar
653 _aX-band radar
653 _adownscaling
653 _aprecipitation rate
653 _aneural networks
653 _arain rate
653 _aCMIP
653 _aGPM-era IMERG
653 _aGR models
653 _aweather
653 _atyphoon
653 _asatellite rainfall retrievals
653 _aTRMM 3B42 v7
653 _avalidation
653 _alow-cost receivers
653 _arainfall retrieval techniques
653 _asnowfall detection
653 _aGPM satellite
653 _aZenith Tropospheric Delay
653 _a3B42
653 _ahurricane Harvey
653 _aPERSIANN_CDR
653 _aTRMM 3B42 V7
653 _asnow water path retrieval
653 _aDPR
653 _asatellite precipitation adjustment
653 _aPeninsular Spain
653 _aRMAPS
653 _adaily rainfall estimations
653 _astreamflow simulation
653 _aregional climate models
653 _aRed–Thai Binh River Basin
653 _aEnsemble Precipitation (EP) algorithm
653 _acloud radar
653 _adisdrometer
653 _aTRMM-era TMPA
653 _ahydrometeorology
653 _aMSG
653 _aradar data assimilation
653 _adust washout process
653 _arunoff simulations
653 _ageostationary microwave sensors
653 _aradar
653 _atopographical and seasonal evaluation
653 _agoGPS
653 _aXPOL radar
653 _aTMPA 3B42V7
653 _atelemetric rain gauge
653 _aharmonie model
653 _atropical storm rainfall
653 _alinear-scaling approach
653 _aMilešovka observatory
653 _aprecipitable water vapor
653 _aheavy precipitation
653 _ahydrological simulation
653 _areflectivity
653 _aKa-band
653 _aTibetan Plateau
653 _asatellite rainfall estimates
653 _aregional rainfall regimes
653 _aLai Nullah
653 _amicrowave scattering
653 _aremote sensing
653 _apre-processing
653 _arainfall rate
653 _aMSWEP
653 _aclimatology
653 _aVIC model
653 _aCMORPH_CRT
653 _aIMERG
653 _asingle frequency GNSS
653 _aPERSIANN
653 _aflood-inducing storm
653 _aclimate models
653 _aPakistan
653 _aprecipitating hydrometeor
653 _adata assimilation
653 _arainfall
653 _akriging with external drift
653 _adual-polarization
653 _aquantitative precipitation estimates
653 _aflash flood
653 _aSatellite Precipitation Estimates
653 _agridded radar precipitation
653 _aregional rainfall sub-regimes
653 _apolar systems
856 4 0 _awww.oapen.org
_uhttps://mdpi.com/books/pdfview/book/1435
_70
_zDOAB: download the publication
856 4 0 _awww.oapen.org
_uhttps://directory.doabooks.org/handle/20.500.12854/58177
_70
_zDOAB: description of the publication
999 _c69208
_d69208