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Shruti A. Upadhyaya, Pierre-Emmanuel Kirstetter, Jonathan J. Gourley, and Robert J. Kuligowski

-Calibrating Multivariate Precipitation Retrieval (SCaMPR; Kuligowski 2002 ; Kuligowski et al. 2016 ) algorithm is the operational precipitation retrieval algorithm for GOES-16 / GOES-17 . SCaMPR is trained with passive microwave (PMW) precipitation rate estimates from the Climate Prediction Center (CPC) combined microwave (MWCOMB) dataset ( Joyce et al. 2004 ). While visible/infrared (VIS/IR) sensors on board GEO platforms are primarily sensitive to the cloud-top properties indirectly related to surface

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Phu Nguyen, Mohammed Ombadi, Vesta Afzali Gorooh, Eric J. Shearer, Mojtaba Sadeghi, Soroosh Sorooshian, Kuolin Hsu, David Bolvin, and Martin F. Ralph

://doi.org/10.1175/1520-0426(1995)012<0033:AMFCPM>2.0.CO;2 . 10.1175/1520-0426(1995)012<0033:AMFCPM>2.0.CO;2 Letu , H. , and Coauthors , 2020 : High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite . Remote Sens. Environ. , 239 , 111583, https://doi.org/10.1016/j.rse.2019.111583 . 10.1016/j.rse.2019.111583 Levizzani , V. , F. Porcú , F. S. Marzano , A. Mugnai , E. A. Smith , and F. Prodi

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