Remote Sensing of Precipitation: Volume 2 / Silas Michaelides

• Autore: Michaelides Silas
• Pubblicazione: Basel, Switzerland : , : MDPI, , 2019
• Descrizione fisica: 1 electronic resource (318 p.)
• Soggetto non controllato: satellite radiance; WRF-Hydro; meteorological radar; QPE; microstructure of rain; TMPA; evaluation; precipitation; volume matching; CFSR; GMI; terminal velocity; TRMM-TMPA; surface rain intensity; retrieval algorithm; rain gauges; tropical cyclone; CMORPH; T-Matrix; Global Precipitation Measurement (GPM); statistical evaluation; vertical air velocity; heavy rainfall prediction; GPM IMERG v5; Tianshan Mountains; Red River Basin; precipitation retrieval; satellite precipitation; PERSIANN-CCS; validation network; PEMW; satellite rainfall estimate; high latitude; Cyprus; GPM; wet deposition; CloudSat; thundercloud; GPS; satellite remote sensing; assessment; numerical weather prediction; mineral dust; complex terrain; mesoscale precipitation patterns; GNSS meteorology; lumped models; satellites; Southern China; error analysis; topography; cloud scavenging; radar reflectivity–rain rate relationship; CHAOS; RADOLAN; hydrometeor classification; TRMM; thunderstorm; CHIRPS; satellite precipitation retrieval; GPM/IMERG; GSMaP; bias correction; Precise Point Positioning; Mainland China; supercooled droplets detection; SEID; Saharan dust transportation; Huaihe River basin; GPM Microwave Imager; satellite; TMPA 3B42RT; forecast model; quality indexes; SEVIRI; radiometer; triple collocation; satellite precipitation product; Mandra; synoptic weather types; drop size distribution (DSD); Amazon Basin; weather radar; X-band radar; downscaling; precipitation rate; neural networks; rain rate; CMIP; GPM-era IMERG; GR models; weather; typhoon; satellite rainfall retrievals; TRMM 3B42 v7; validation; low-cost receivers; rainfall retrieval techniques; snowfall detection; GPM satellite; Zenith Tropospheric Delay; 3B42; hurricane Harvey; PERSIANN_CDR; TRMM 3B42 V7; snow water path retrieval; DPR; satellite precipitation adjustment; Peninsular Spain; RMAPS; daily rainfall estimations; streamflow simulation; regional climate models; Red–Thai Binh River Basin; Ensemble Precipitation (EP) algorithm; cloud radar; disdrometer; TRMM-era TMPA; hydrometeorology; MSG; radar data assimilation; dust washout process; runoff simulations; geostationary microwave sensors; radar; topographical and seasonal evaluation; goGPS; XPOL radar; TMPA 3B42V7; telemetric rain gauge; harmonie model; tropical storm rainfall; linear-scaling approach; Milešovka observatory; precipitable water vapor; heavy precipitation; hydrological simulation; reflectivity; Ka-band; Tibetan Plateau; satellite rainfall estimates; regional rainfall regimes; Lai Nullah; microwave scattering; remote sensing; pre-processing; rainfall rate; MSWEP; climatology; VIC model; CMORPH_CRT; IMERG; single frequency GNSS; PERSIANN; flood-inducing storm; climate models; Pakistan; precipitating hydrometeor; data assimilation; rainfall; kriging with external drift; dual-polarization; quantitative precipitation estimates; flash flood; Satellite Precipitation Estimates; gridded radar precipitation; regional rainfall sub-regimes; polar systems
• Sommario/riassunto: 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.
• Titolo autorizzato: Remote Sensing of Precipitation: Volume 2
• ISBN: 9783039212880; 3039212885
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346859903321
• Lo trovi qui: Univ. Federico II