TY  - GEN
AU  - Michaelides,Silas
TI  - Remote Sensing of Precipitation: Volume 1
SN  - books978-3-03921-286-6
PY  - 2019///
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - satellite radiance
KW  - WRF-Hydro
KW  - meteorological radar
KW  - QPE
KW  - microstructure of rain
KW  - TMPA
KW  - evaluation
KW  - precipitation
KW  - volume matching
KW  - CFSR
KW  - GMI
KW  - terminal velocity
KW  - TRMM-TMPA
KW  - surface rain intensity
KW  - retrieval algorithm
KW  - rain gauges
KW  - tropical cyclone
KW  - CMORPH
KW  - T-Matrix
KW  - Global Precipitation Measurement (GPM)
KW  - statistical evaluation
KW  - vertical air velocity
KW  - heavy rainfall prediction
KW  - GPM IMERG v5
KW  - Tianshan Mountains
KW  - Red River Basin
KW  - precipitation retrieval
KW  - satellite precipitation
KW  - PERSIANN-CCS
KW  - validation network
KW  - PEMW
KW  - satellite rainfall estimate
KW  - high latitude
KW  - Cyprus
KW  - GPM
KW  - wet deposition
KW  - CloudSat
KW  - thundercloud
KW  - GPS
KW  - satellite remote sensing
KW  - assessment
KW  - numerical weather prediction
KW  - mineral dust
KW  - complex terrain
KW  - mesoscale precipitation patterns
KW  - GNSS meteorology
KW  - lumped models
KW  - satellites
KW  - Southern China
KW  - error analysis
KW  - topography
KW  - cloud scavenging
KW  - radar reflectivity–rain rate relationship
KW  - CHAOS
KW  - RADOLAN
KW  - hydrometeor classification
KW  - TRMM
KW  - thunderstorm
KW  - CHIRPS
KW  - satellite precipitation retrieval
KW  - GPM/IMERG
KW  - GSMaP
KW  - bias correction
KW  - Precise Point Positioning
KW  - Mainland China
KW  - supercooled droplets detection
KW  - SEID
KW  - Saharan dust transportation
KW  - Huaihe River basin
KW  - GPM Microwave Imager
KW  - satellite
KW  - TMPA 3B42RT
KW  - forecast model
KW  - quality indexes
KW  - SEVIRI
KW  - radiometer
KW  - triple collocation
KW  - satellite precipitation product
KW  - Mandra
KW  - synoptic weather types
KW  - drop size distribution (DSD)
KW  - Amazon Basin
KW  - weather radar
KW  - X-band radar
KW  - downscaling
KW  - precipitation rate
KW  - neural networks
KW  - rain rate
KW  - CMIP
KW  - GPM-era IMERG
KW  - GR models
KW  - weather
KW  - typhoon
KW  - satellite rainfall retrievals
KW  - TRMM 3B42 v7
KW  - validation
KW  - low-cost receivers
KW  - rainfall retrieval techniques
KW  - snowfall detection
KW  - GPM satellite
KW  - Zenith Tropospheric Delay
KW  - 3B42
KW  - hurricane Harvey
KW  - PERSIANN_CDR
KW  - TRMM 3B42 V7
KW  - snow water path retrieval
KW  - DPR
KW  - satellite precipitation adjustment
KW  - Peninsular Spain
KW  - RMAPS
KW  - daily rainfall estimations
KW  - streamflow simulation
KW  - regional climate models
KW  - Red–Thai Binh River Basin
KW  - Ensemble Precipitation (EP) algorithm
KW  - cloud radar
KW  - disdrometer
KW  - TRMM-era TMPA
KW  - hydrometeorology
KW  - MSG
KW  - radar data assimilation
KW  - dust washout process
KW  - runoff simulations
KW  - geostationary microwave sensors
KW  - radar
KW  - topographical and seasonal evaluation
KW  - goGPS
KW  - XPOL radar
KW  - TMPA 3B42V7
KW  - telemetric rain gauge
KW  - harmonie model
KW  - tropical storm rainfall
KW  - linear-scaling approach
KW  - Milešovka observatory
KW  - precipitable water vapor
KW  - heavy precipitation
KW  - hydrological simulation
KW  - reflectivity
KW  - Ka-band
KW  - Tibetan Plateau
KW  - satellite rainfall estimates
KW  - regional rainfall regimes
KW  - Lai Nullah
KW  - microwave scattering
KW  - remote sensing
KW  - pre-processing
KW  - rainfall rate
KW  - MSWEP
KW  - climatology
KW  - VIC model
KW  - CMORPH_CRT
KW  - IMERG
KW  - single frequency GNSS
KW  - PERSIANN
KW  - flood-inducing storm
KW  - climate models
KW  - Pakistan
KW  - precipitating hydrometeor
KW  - data assimilation
KW  - rainfall
KW  - kriging with external drift
KW  - dual-polarization
KW  - quantitative precipitation estimates
KW  - flash flood
KW  - Satellite Precipitation Estimates
KW  - gridded radar precipitation
KW  - regional rainfall sub-regimes
KW  - polar systems
N1  - Open Access
N2  - Precipitation 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
UR  - https://mdpi.com/books/pdfview/book/1435
UR  - https://directory.doabooks.org/handle/20.500.12854/58177
ER  -