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

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
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
Series:Atmosphere
Subjects:
IMERG
downscaling
random forest model
MODIS cloud optical and microphysical properties
CHIRTS
Online Access:https://www.mdpi.com/2073-4433/14/9/1349

Internet

https://www.mdpi.com/2073-4433/14/9/1349

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