TY  - GEN
AU  - Michaelides,Silas
AU  - Michaelides,Silas
TI  - Remote Sensing of Precipitation: Part II
SN  - books978-3-0365-2328-6
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Research & information: general
KW  - bicssc
KW  - Northern China
KW  - raindrop size distribution (DSD)
KW  - microphysical processes
KW  - quantitative precipitation estimation (QPE)
KW  - satellite-based precipitation
KW  - elevation
KW  - extreme events
KW  - IMERG-V05B and V06A
KW  - MSWEP
KW  - ERA5
KW  - SM2RAIN
KW  - precipitation estimation
KW  - soil moisture
KW  - SM2RAIN-CCI
KW  - SM2RAIN-ASCAT
KW  - multi-satellite precipitation analysis (TMPA)
KW  - error decomposition
KW  - complex topography
KW  - diverse climate
KW  - gauge data
KW  - IMERG
KW  - TAHMO
KW  - morphing
KW  - field displacement
KW  - TIGGE
KW  - precipitation
KW  - numerical weather prediction
KW  - satellite
KW  - flood
KW  - spring 2019
KW  - Iran
KW  - GPM IMERG
KW  - satellite precipitation
KW  - spatiotemporal analysis
KW  - statistical distribution
KW  - validation
KW  - Mainland China
KW  - GSMaP_NRT
KW  - GSMaP_Gauge_NRT
KW  - raindrop size distribution
KW  - radar reflectivity
KW  - raindrop spectrometer
KW  - semi-arid area
KW  - assessment
KW  - Taiwan
KW  - data assimilation
KW  - WRF model
KW  - high-impact rainfall events
KW  - GNSS ZTD
KW  - optimum interpolation
KW  - geographically weighted regression
KW  - downscaling
KW  - Tianshan Mountains
KW  - satellite precipitation products
KW  - evaluation
KW  - daily rainfall
KW  - hourly rainfall
KW  - GPM
KW  - TRMM
KW  - GNSS
KW  - GNSS antenna
KW  - receiver antenna calibration
KW  - relative calibration
KW  - Phase Center Variation
KW  - U-blox
KW  - goGPS
KW  - Zenith Tropospheric Delay
KW  - ZED-F9P
KW  - GSMaP
KW  - Nepal
KW  - cloud radar
KW  - thunderstorm
KW  - LDR
KW  - hydrometeor
KW  - hydrometeor classification
KW  - lightning
KW  - discharge
KW  - remote sensing
KW  - SEVIRI
KW  - ground radar
KW  - precipitation interpolation
KW  - geographically and temporally weighted regression
KW  - time weight function
KW  - geographically and temporally weighted regression kriging
KW  - extreme rainfall
KW  - polarimetric radar signatures
KW  - quantitative precipitation estimation
KW  - southern china
KW  - reanalysis
KW  - linear trends
KW  - mainland China
KW  - EDBF algorithm
KW  - geospatial predictor
KW  - spatial pattern
KW  - weighted precipitation
KW  - Cyprus
KW  - bias correction
KW  - object-based method
KW  - storm events
KW  - Thies
KW  - disdrometer
KW  - weather circulations
KW  - convective
KW  - stratiform
KW  - rain spectra
KW  - radar reflectivity-rain rate relationship
KW  - gridded precipitation products
KW  - abrupt changes
KW  - trends
KW  - statistical indicators
KW  - agriculture
KW  - Pakistan
KW  - rainfall
KW  - radar
KW  - extreme precipitation
KW  - spatial bootstrap
KW  - Louisiana
KW  - annual maxima
KW  - n/a
N1  - Open Access
N2  - Precipitation 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
UR  - https://mdpi.com/books/pdfview/book/4647
UR  - https://directory.doabooks.org/handle/20.500.12854/77037
ER  -