Search results for "precipitation estimation"

showing 5 items of 5 documents

Soil moisture modelling of a SMOS pixel: interest of using the PERSIANN database over the Valencia Anchor Station

2010

In the framework of Soil Moisture and Ocean Salinity (SMOS) Calibration/Validation (Cal/Val) activities, this study addresses the use of the PERSIANN-CCS<sup>1</sup>database in hydrological applications to accurately simulate a whole SMOS pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over a wide area (50×50 km<sup>2</sup>). The study focuses on the Valencia Anchor Station (VAS) experimental site, in Spain, which is one of the main SMOS Cal/Val sites in Europe. <br><br> A faithful representation of the soil moisture distribution at SMOS pixel scale (50×50 km<sup>2</sup>) requires an accurate estimation…

010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringContext (language use)02 engineering and technologysystemcomputer.software_genrerainfall estimation01 natural scienceslcsh:Technologylcsh:TD1-1066Precipitation[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrologylcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentprecipitation estimationretrievallcsh:Environmental sciences0105 earth and related environmental sciencesRemote sensinglcsh:GE1-350DatabaseRain gaugeMoisturelcsh:Tlcsh:Geography. Anthropology. RecreationLife Sciencesneural-network15. Life on landparameterizationokavango riverproductsafricalcsh:G13. Climate actionSoil waterPERSIANNEnvironmental scienceSpatial variabilitycomputerHydrology and Earth System Sciences
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Evaluation and comparison of satellite precipitation estimates with reference to a local area in the Mediterranean Sea

2014

Precipitation measurement is a key activity for the analysis of storm processes as well as every hydrological process. Satellite retrieval systems, rain-gauge network and radar systems are complement to each other in terms of their coverage and capability of monitoring precipitation. Satellite rainfall estimates systems produce data with global coverage that can provide information in areas for which data from other sources are unavailable. Without referring to ground measurement, satellite-based estimates can be bias. Although some gauged adjusted satellite precipitation products are developed, an effective way of integrating multi-sources of precipitation information is still a challenge.…

Atmospheric ScienceQuantitative precipitation estimationMeteorologySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaPrecipitation Satellite Mediterranean Evaluationprecipitation satellite persiann cmorph tmpa gpcpEarth system scienceWater resourcesSet (abstract data type)Mediterranean seaPERSIANNEnvironmental scienceSatellitePrecipitationRemote sensing
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Evaluating several satellite precipitation estimates and global ground-based dataset on Sicily (Italy)

2012

The developing of satellite-based precipitation retrieval systems, presents great potentialities for several ap­ plications ranging from weather and meteorological applications to hydrological modelling. Evaluating perfor­ mances for these estimates is essential in order to understand their real capabilities and suitability related to each application. In this study an evaluation analysis of satellite precipitation retrieval systems has been carried out for the area of Sicily (Italy). Sicily is an island in the Mediterranean sea with a particular climatology and morphology, which is considered as an interesting test site for satellite precipitation products on the European mid-latitude area…

CMORPHQuantitative precipitation estimationMeteorologyHydrological modellingSatellite precipitationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSampling (statistics)PERSIANNTMPAPhysical oceanographyMediterraneanMediterranean seaGeographyClimatologyPERSIANNSatellitePrecipitation
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A local post-retrieval tool for satellite precipitation estimates

2012

As illustrated by several literature case studies spread around di erent geographic locations, satellite precipi- tation estimates, obtained by means of consolidated algorithms, often result being considerably biased. Moreover observed bias is related to geographic location since particular features such as latitude, presence of coastal areas and climatological and weather regime, a ect performances of satellite estimates. Bias adjusted products that make use of global ground-based precipitation estimates, are available as well but still these datasets may show a relevant bias level. In this study a procedure to bias-adjust satellite precipitation estimates has been devel- oped for the loca…

Quantitative precipitation estimationMeteorologydownscalinSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaNetwork dataSatellite precipitationMediterraneanbias adjustmentSatellite precipitationLatitudeGeographyMaximum a posteriori estimationSatellitePrecipitationRemote sensingDownscalingSPIE Proceedings
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Smart Data Blending Framework to Enhance Precipitation Estimation through Interconnected Atmospheric, Satellite, and Surface Variables

2023

Accurate precipitation estimation remains a challenge, though it is fundamental for most hydrological analyses. In this regard, this study aims to achieve two objectives. Firstly, we evaluate the performance of two precipitation products from the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM-IMERG) for Sicily, Italy, from 2016 to 2020 by a set of categorical indicators and statistical indices. Analyses indicate the favorable performance of daily estimates, while half-hourly estimates exhibited poorer performance, revealing larger discrepancies between satellite and ground-based measurements at sub-hourly timescales. Secondly, we propose four multi-source me…

Settore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiadeep learning satellite precipitation estimations multi-source merging models improving precision
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