06504nam 2201777z- 450 991055770490332120220111(CKB)5400000000046230(oapen)https://directory.doabooks.org/handle/20.500.12854/77037(oapen)doab77037(EXLCZ)99540000000004623020202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRemote Sensing of Precipitation: Part IIBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (594 p.)3-0365-2327-8 3-0365-2328-6 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.Remote Sensing of PrecipitationResearch & information: generalbicsscabrupt changesagricultureannual maximaassessmentbias correctioncloud radarcomplex topographyconvectiveCyprusdaily rainfalldata assimilationdischargedisdrometerdiverse climatedownscalingEDBF algorithmelevationERA5error decompositionevaluationextreme eventsextreme precipitationextreme rainfallfield displacementfloodgauge datageographically and temporally weighted regressiongeographically and temporally weighted regression kriginggeographically weighted regressiongeospatial predictorGNSSGNSS antennaGNSS ZTDgoGPSGPMGPM IMERGgridded precipitation productsground radarGSMaPGSMaP_Gauge_NRTGSMaP_NRThigh-impact rainfall eventshourly rainfallhydrometeorhydrometeor classificationIMERGIMERG-V05B and V06AIranLDRlightninglinear trendsLouisianamainland ChinaMainland Chinamicrophysical processesmorphingMSWEPmulti-satellite precipitation analysis (TMPA)n/aNepalNorthern Chinanumerical weather predictionobject-based methodoptimum interpolationPakistanPhase Center Variationpolarimetric radar signaturesprecipitationprecipitation estimationprecipitation interpolationquantitative precipitation estimationquantitative precipitation estimation (QPE)radarradar reflectivityradar reflectivity-rain rate relationshiprain spectraraindrop size distributionraindrop size distribution (DSD)raindrop spectrometerrainfallreanalysisreceiver antenna calibrationrelative calibrationremote sensingsatellitesatellite precipitationsatellite precipitation productssatellite-based precipitationsemi-arid areaSEVIRISM2RAINSM2RAIN-ASCATSM2RAIN-CCIsoil moisturesouthern chinaspatial bootstrapspatial patternspatiotemporal analysisspring 2019statistical distributionstatistical indicatorsstorm eventsstratiformTAHMOTaiwanThiesthunderstormTianshan MountainsTIGGEtime weight functiontrendsTRMMU-bloxvalidationweather circulationsweighted precipitationWRF modelZED-F9PZenith Tropospheric DelayResearch & information: generalMichaelides Silasedt1292430Michaelides SilasothBOOK9910557704903321Remote Sensing of Precipitation: Part II3026991UNINA