Neural network-based method for the estimation of the rain rate over oceans by measurements of the satellite radiometer AMSR2
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The rain rate (RR) retrieval method for the RR estimation over ice-free areas of the ocean is presented. Measurements of the Japanese Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the satellite GCOM-W1 are used. The method is based on the results of the numerical modeling of brightness temperatures of the outgoing microwave radiation of the ocean–atmosphere system and their subsequent conversion into the RR using neural networks. A simplified form of the transfer equation is used. Its errors for the considered wavelengths do not exceed 1 K at an RR of less than 20 mm/h. The method is verified by comparison with the Tropical Rainfall Measuring Mission’s (TRMM) Microwave Instrument (TMI) RR product. As a result of the comparison, the rain rate retrieval error within the range of 20 mm/h is found to be 1 mm/h.
Keywordsrain rate numerical modeling brightness temperature AMSR2 TMI
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- 1.A. Behrangi, M. Lersock, S. Wong, and B. Lambrigtsen, “On the quantification of oceanic rainfall using spaceborne sensors,” J. Geophys. Res. 117 (D20) (2012). doi 10.1029/2012.TD017979Google Scholar
- 8.A. AghaKouchak, A. Mehran, H. Norouzi, and A. Behrangi, “Systematic and random error components in satellite precipitation data sets,” Geophys. Res. Lett. 39 (9) (2012). doi 10.1029/2012G.L051592Google Scholar
- 9.A. Y. Hou and R. K. Kakar, S. Neeck, et al., “The Global Precipitation Measurement (GPM) Mission,” Bull. Am. Meteorol. Soc. 95 (5), 711–722 (2014).Google Scholar
- 15.C. Kummerow and R. Ferraro, Algorithm Theoretical Basis Document: EOS/AMSR-E Level-2 Rainfall. Colorado State Univ. Rep., 2007.Google Scholar
- 17.S. Chandrasekhar, Radiative Transfer (Dover Publications, New York, 1960).Google Scholar
- 18.K. Imaoka, M. Kachi, M. Kasahara, et al., “Instrument performance and calibration of AMSR-E and AMSR2,” Int. Arch. Photogramm. Remote Sens. Spec. Inf. Sci 38 (8), 13–18 (2010).Google Scholar
- 19.H. J. Liebe and D. H. Layton, Millimeter-wave properties of the atmosphere: Laboratory studies and propagation modeling, NTIA Rep. 87–24. Nat. Tech. Inf. Service Boulder, Colorado, 1987.Google Scholar
- 20.S. Y. Matrosov and E. M. Shulgina, “Scattering and attenuation of microwave radiation by precipitation,” MGO Trans. 448, 85–94 (1982).Google Scholar
- 22.S. Yu. Matrosov, “Microwave radiation transfer in precipitation,” Tr. Gl. Geofiz. Obs. im. A.I. Voeikova, No. 478, 50–61 (1983).Google Scholar
- 25.B. Chapron, A. Bingham, F. Collard, et al., “Ocean remote sensing data integration-examples and outlook,” in Proc. Ocean. Sustain. Ocean Obs. Inf. Soc., WPP-306 (ESA, Venice, Italy, 2010). doi 10.5270/OceanObs09Google Scholar
- 26.K. Hilburn, D. Smith, and T. Meissner, “Assessment of remote sensing systems version-7 rain rates,” EGU Gen. Assem. Conf. Abstr. 15, 6120 (2013).Google Scholar