Downscaling Daily Satellite-Based Precipitation Estimates Using MODIS Cloud Optical and Microphysical Properties in Machine-Learning Models

This study proposes a method for downscaling the spatial resolution of daily satellite-based precipitation estimates (SPEs) from 10 km to 1 km. The method deliberates a set of variables that have close relationships with daily precipitation events in a Random Forest (RF) regression model. The consid...

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Bibliographic Details

Published in:	Atmosphere
Main Authors:	Sergio Callaú Medrano, Frédéric Satgé, Jorge Molina-Carpio, Ramiro Pillco Zolá, Marie-Paule Bonnet
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Subjects:	IMERG downscaling random forest model MODIS cloud optical and microphysical properties CHIRTS
Online Access:	https://www.mdpi.com/2073-4433/14/9/1349