Remote Sensing of Precipitation: Part II

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. Pr...

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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (594 p.)
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520 |a 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. 
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653 |a Northern China 
653 |a raindrop size distribution (DSD) 
653 |a microphysical processes 
653 |a quantitative precipitation estimation (QPE) 
653 |a satellite-based precipitation 
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653 |a extreme events 
653 |a IMERG-V05B and V06A 
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653 |a soil moisture 
653 |a SM2RAIN-CCI 
653 |a SM2RAIN-ASCAT 
653 |a multi-satellite precipitation analysis (TMPA) 
653 |a error decomposition 
653 |a complex topography 
653 |a diverse climate 
653 |a gauge data 
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653 |a TAHMO 
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653 |a satellite precipitation 
653 |a spatiotemporal analysis 
653 |a statistical distribution 
653 |a validation 
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653 |a GSMaP_Gauge_NRT 
653 |a raindrop size distribution 
653 |a radar reflectivity 
653 |a raindrop spectrometer 
653 |a semi-arid area 
653 |a assessment 
653 |a Taiwan 
653 |a data assimilation 
653 |a WRF model 
653 |a high-impact rainfall events 
653 |a GNSS ZTD 
653 |a optimum interpolation 
653 |a geographically weighted regression 
653 |a downscaling 
653 |a Tianshan Mountains 
653 |a satellite precipitation products 
653 |a evaluation 
653 |a daily rainfall 
653 |a hourly rainfall 
653 |a GPM 
653 |a TRMM 
653 |a GNSS 
653 |a GNSS antenna 
653 |a receiver antenna calibration 
653 |a relative calibration 
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653 |a SEVIRI 
653 |a ground radar 
653 |a precipitation interpolation 
653 |a geographically and temporally weighted regression 
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653 |a geographically and temporally weighted regression kriging 
653 |a extreme rainfall 
653 |a polarimetric radar signatures 
653 |a quantitative precipitation estimation 
653 |a southern china 
653 |a reanalysis 
653 |a linear trends 
653 |a mainland China 
653 |a EDBF algorithm 
653 |a geospatial predictor 
653 |a spatial pattern 
653 |a weighted precipitation 
653 |a Cyprus 
653 |a bias correction 
653 |a object-based method 
653 |a storm events 
653 |a Thies 
653 |a disdrometer 
653 |a weather circulations 
653 |a convective 
653 |a stratiform 
653 |a rain spectra 
653 |a radar reflectivity-rain rate relationship 
653 |a gridded precipitation products 
653 |a abrupt changes 
653 |a trends 
653 |a statistical indicators 
653 |a agriculture 
653 |a Pakistan 
653 |a rainfall 
653 |a radar 
653 |a extreme precipitation 
653 |a spatial bootstrap 
653 |a Louisiana 
653 |a annual maxima 
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