From SMOS Soil Moisture to 3-hour Precipitation Estimates at 0.1° Resolution in Africa
نویسندگان
چکیده
Several recent studies have shown that knowledge of the spatiotemporal dynamics soil moisture intrinsically contains information on precipitation. In this study, we show how SMOS measurements can be used to generate a near-real-time precipitation product with spatial resolution 0.1° and temporal 3 h. The principle consists assimilating data into model simulates evolution moisture, which is forced by satellite product. assimilation leads an adjustment rates. Using from more than 200 rain gauges set up in Africa between 2010 2021, PrISM algorithm (for Precipitation Inferred Soil Moisture) almost systematically improves initial One original features study IMERG-Early product, has finer (0.1°) (~0.25°). Despite this, methodology reduces both RMSE bias IMERG-Early. reduced 8.0 6.3 mm/day, absolute 0.81 0.63 mm/day average over gauges. performs even slightly better IMERG-Final terms (6.8 for IMERG-Final) but scores are obtained (0.35 mm/day), utilizes network field correct biases 2.5-month delay. Therefore, use advantageous alternative gauge debiasing rainfall products real time.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14030746