A Deep Learning Framework for Precipitation Estimation from GOES-16 multispectral satellite imagery - Application of the conditional Generative Adversarial Networks (cGANs)

Hayatbini, Negin

A Deep Learning Framework for Precipitation Estimation from GOES-16 multispectral satellite imagery - Application of the conditional Generative Adversarial Networks (cGANs)

Negin Hayatbini¹, Bailey Kong², Kuo-lin Hsu¹, Phu Nguyen³, Soroosh Sorooshian⁴ and Graeme L Stephens⁵, (1)University of California Irvine, Irvine, CA, United States, (2)University of California, Irvine, Irvine, CA, United States, (3)UC Irvine, Irvine, CA, United States, (4)Univ California Irvine, Irvine, CA, United States, (5)Jet Propulsion Laboratory, Pasadena, CA, United States