Work

Reducing Latency in Satellite-Based Precipitation Estimates Using GOES-16 and Machine Learning

Year: 2025

Type: article

Source: Journal of Hydrologic Engineering

DOI: 10.1061/jhyeff.heeng-6543

Authors: Josué Muñoz, Paul Muñoz, David F. Muñoz, Rolando Célleri

Institutions: University of Cuenca, Universidad del Azuay, Vrije Universiteit Brussel, Virginia Tech

Language: English

Topic: Precipitation Measurement and Analysis

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDGs: Climate action, Clean water and sanitation

Open Access status: closed

OpenAlex ID: W4413839286

FWCI:

Cites: 37

Cited by:

Related to: 10