Remote Sensing of Precipitation: Part II
Michaelides, Silas
Remote Sensing of Precipitation: Part II - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (594 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-2328-6 9783036523279 9783036523286
10.3390/books978-3-0365-2328-6 doi
Research & information: general
Northern China raindrop size distribution (DSD) microphysical processes quantitative precipitation estimation (QPE) satellite-based precipitation elevation extreme events IMERG-V05B and V06A MSWEP ERA5 SM2RAIN precipitation estimation soil moisture SM2RAIN-CCI SM2RAIN-ASCAT multi-satellite precipitation analysis (TMPA) error decomposition complex topography diverse climate gauge data IMERG TAHMO morphing field displacement TIGGE precipitation numerical weather prediction satellite flood spring 2019 Iran GPM IMERG satellite precipitation spatiotemporal analysis statistical distribution validation Mainland China GSMaP_NRT GSMaP_Gauge_NRT raindrop size distribution radar reflectivity raindrop spectrometer semi-arid area assessment Taiwan data assimilation WRF model high-impact rainfall events GNSS ZTD optimum interpolation geographically weighted regression downscaling Tianshan Mountains satellite precipitation products evaluation daily rainfall hourly rainfall GPM TRMM GNSS GNSS antenna receiver antenna calibration relative calibration Phase Center Variation U-blox goGPS Zenith Tropospheric Delay ZED-F9P GSMaP Nepal cloud radar thunderstorm LDR hydrometeor hydrometeor classification lightning discharge remote sensing SEVIRI ground radar precipitation interpolation geographically and temporally weighted regression time weight function geographically and temporally weighted regression kriging extreme rainfall polarimetric radar signatures quantitative precipitation estimation southern china reanalysis linear trends mainland China EDBF algorithm geospatial predictor spatial pattern weighted precipitation Cyprus bias correction object-based method storm events Thies disdrometer weather circulations convective stratiform rain spectra radar reflectivity-rain rate relationship gridded precipitation products abrupt changes trends statistical indicators agriculture Pakistan rainfall radar extreme precipitation spatial bootstrap Louisiana annual maxima n/a
Remote Sensing of Precipitation: Part II - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (594 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-2328-6 9783036523279 9783036523286
10.3390/books978-3-0365-2328-6 doi
Research & information: general
Northern China raindrop size distribution (DSD) microphysical processes quantitative precipitation estimation (QPE) satellite-based precipitation elevation extreme events IMERG-V05B and V06A MSWEP ERA5 SM2RAIN precipitation estimation soil moisture SM2RAIN-CCI SM2RAIN-ASCAT multi-satellite precipitation analysis (TMPA) error decomposition complex topography diverse climate gauge data IMERG TAHMO morphing field displacement TIGGE precipitation numerical weather prediction satellite flood spring 2019 Iran GPM IMERG satellite precipitation spatiotemporal analysis statistical distribution validation Mainland China GSMaP_NRT GSMaP_Gauge_NRT raindrop size distribution radar reflectivity raindrop spectrometer semi-arid area assessment Taiwan data assimilation WRF model high-impact rainfall events GNSS ZTD optimum interpolation geographically weighted regression downscaling Tianshan Mountains satellite precipitation products evaluation daily rainfall hourly rainfall GPM TRMM GNSS GNSS antenna receiver antenna calibration relative calibration Phase Center Variation U-blox goGPS Zenith Tropospheric Delay ZED-F9P GSMaP Nepal cloud radar thunderstorm LDR hydrometeor hydrometeor classification lightning discharge remote sensing SEVIRI ground radar precipitation interpolation geographically and temporally weighted regression time weight function geographically and temporally weighted regression kriging extreme rainfall polarimetric radar signatures quantitative precipitation estimation southern china reanalysis linear trends mainland China EDBF algorithm geospatial predictor spatial pattern weighted precipitation Cyprus bias correction object-based method storm events Thies disdrometer weather circulations convective stratiform rain spectra radar reflectivity-rain rate relationship gridded precipitation products abrupt changes trends statistical indicators agriculture Pakistan rainfall radar extreme precipitation spatial bootstrap Louisiana annual maxima n/a