Reprint

Remote Sensing of Precipitation

Volume 1

Edited by
July 2019
480 pages
  • ISBN978-3-03921-285-9 (Paperback)
  • ISBN978-3-03921-286-6 (PDF)

This book is a reprint of the Special Issue Remote Sensing of Precipitation that was published in

This book is part of the book set Remote Sensing of Precipitation

Engineering
Environmental & Earth Sciences
Summary

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.

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