Abstract
GSMaP (Global Satellite Mapping of Precipitation) is a project aiming (1) to produce high-precision and high-resolution global precipitation maps using satellite-borne microwave radiometer data, (2) to develop reliable microwave radiometer algorithms, and (3) to establish precipitation map techniques using multi-satellite data for the coming GPM era. The GSMaP_MVK system uses a Kalman filter model to estimate precipitation rate at each 0.1° with 1-h resolution on a global basis. The input data sets are precipitation rates retrieved from the microwave radiometers and infrared images to compute the moving vector fields. Based on the moving vector fields calculated from successive IR images, precipitation fields are propagated and refined on the Kalman filter model, which uses the relationship between infrared brightness temperature and surface precipitation rate. This Kalman filter – based method shows better performance than the moving vector – only method, and the GSMaP_MVK system shows a comparable score compared with other high-resolution precipitation systems.
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Acknowledgements
This work is partly supported by the JAXA/TRMM and GPM program and the JST/CREST. We thank Dr. Takuji Kubota to produce some figures.
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Ushio, T., Kachi, M. (2010). Kalman Filtering Applications for Global Satellite Mapping of Precipitation (GSMaP). In: Gebremichael, M., Hossain, F. (eds) Satellite Rainfall Applications for Surface Hydrology. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2915-7_7
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DOI: https://doi.org/10.1007/978-90-481-2915-7_7
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