Abstract
Ocean surface rain rate information is crucial for quality control (QC) research in wind scatterometry. High-quality precipitation retrievals from microwave instruments are available from the Global Precipitation Mission (GPM). In addition, rain rates can be estimated with high spatiotemporal resolution from geostationary passive visible-infrared imagers such as the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard the Meteosat Second Generation (MSG) satellites. The two products are complementary in observing time and regions. We compare them at different spatial scales, and show that the best consistency is obtained for grids with a size of 25 km or larger; where 25 km corresponds to a common scatterometer wind vector cell size. The results show that correlation coefficient of rain rates from GPM and MSG products for rain rates less than 5 mm/h is about 0.2 and ranges from 0.2 to about 0.5 for rain rates higher than 5 mm/h, while bias and root mean square deviation fluctuate about 2 and 3 mm/h, respectively. Also, QC indicator performances are analyzed with references to MSG and GPM rain rates respectively, for tropical regions. References to these QC indicators further indicate better consistency with both products at rain rates higher than 5 mm/h. The effectiveness of a newly proposed QC indicator has been confirmed as well. The three-way comparison of rain products and scatterometer QC indicators provides a reliable reference for research and for the application of corrections for rain effects on scatterometers.
Highlights
A MONG all remote sensing instruments for ocean-surfacerelated parameter retrieval, space-borne wind scatterometry takes an important role
Though Rn is representing wind vector cell (WVC) wind variability that is not modeled in the Geophysical Model Functions (GMF), when it is used as quality control (QC) indicator, criteria were derived with reference to rain rate products [6] and Rn values from rain-contaminated WVCs may be effectively correlated to rain rate values in existing operational products
The time differences of rain rates from Global Precipitation Mission (GPM) and Meteosat Second Generation (MSG) is limited to ±7.5 min considering the period of MSG scanning being 15 min
Summary
A MONG all remote sensing instruments for ocean-surfacerelated parameter retrieval, space-borne wind scatterometry takes an important role. The combination of the precipitation products from both missions can increase the quality and spatiotemporal coverage of P information, especially over ocean surfaces Together, they can provide a better reference to other remotely sensed data that are affected by rain. The scarcity of rain gauges over the ocean surface can cause problems in the consistency of the calibration and verification of rain rates from GPM and MSG products. The spatial resolution is resampled to a uniform grid of 0.1° while the product distribution unit is 30 min, but only for the spatial coverage of those 10 sensors and not globally available for each 30 min In this article, this is in brief referred to as rain rates from GPM or GPM products
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