Abstract
Abstract. The EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF) provides rainfall estimations based on infrared and microwave satellite sensors on board polar and geostationary satellites. The validation of these satellite estimations is performed by the H-SAF Precipitation Product Validation Group (PPVG). A common validation methodology has been defined inside the PPVG in order to make validation results from several institutes comparable and understandable. The validation of the PR-OBS-3 (blended infrared–microwave (IR–MW) instantaneous rainfall estimation) product using radar-based rainfall estimations as ground reference is described herein. A network of C-band and Ka-band radars throughout Europe ensures a wide area coverage with different orographic configurations and climatological regimes, but the definition of a quality control protocol for obtaining consistent ground precipitation fields across several countries is required. Among the hydro-meteorological community, the evaluation of the data quality is a quite consolidated practice, even though a unique definition of a common evaluation methodology between different countries and institutions has not been set up yet. Inside H-SAF, the first definition of the quality index of the radar rainfall observations has been introduced at the Italian Civil Protection Department (DPC). In the evaluation of the DPC quality index, several parameters are considered, some measured by the radar itself (static clutter map, range distance, radial velocity, texture of differential reflectivity, texture of co-polar correlation coefficient and texture of differential phase shift) and some obtained by external sources (digital elevation model, freezing layer height). In some cases, corrections were applied for clutter and beam blocking. The DPC quality index was calculated and applied to some relevant meteorological events reported by a radar test site in Italy. The precipitation field derived by radar data was compared with the PR-OBS-3 precipitation product, with varying thresholds of quality index: the impact of the introduction of the quality index defined on the statistical results of the satellite product validation as well as their sensitivity to the threshold choice were thus evaluated. Results show that PR-RMSE (a relative RMSE here introduced) is reduced from values between 2.5 and 3 to values around 1 when the quality threshold is increased from 0 (no threshold) to 0.8. Fractional standard error also decreases, from values around 2 to values around 1.5 in the same span of the quality threshold.
Highlights
The EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF) project started in 2005, with the objective of making available hydrological parameters estimations
The H-SAF is hosted by the National Centre of Aeronautic Meteorology and Climatology (CNMCA) of the Italian National Meteorological Service
In case the compensation of this effect is not introduced in the radar data, the quality index associated to vertical profile of reflectivity (VPR) can be estimated as in Friedrich et al (2006): www.nat-hazards-earth-syst-sci.net/13/2695/2013/
Summary
The EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF) project started in 2005, with the objective of making available hydrological parameters estimations The present work is the first study focused on evaluating the impact on satellite precipitation estimations validation of the introduction of a quality filter on reference radar data before the upscaling stage. Even though some of these sources can be addressed to a reasonable extent, any quantitative use of radar rainfall products should take into account the quality of input radar data and related precipitation estimates. This is necessary both for radar data assimilation and validation of satellite-based precipitation products. Italy) at 700 m a.s.l., with significant orographic obstruction in the W–SW direction (see Fig. 2)
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