Work

A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations

Year: 2019

Type: article

Source: IEEE Transactions on Geoscience and Remote Sensing

DOI: 10.1109/tgrs.2019.2942280

Authors: Haonan Chen, V. Chandrasekar, Robert Cifelli, Pingping Xie

Institutions: National Oceanic and Atmospheric Administration, NOAA Physical Sciences Laboratory, Cooperative Institute for Research in the Atmosphere, NOAA Earth System Research Laboratory, Colorado State University, NOAA Climate Prediction Center

Language: English

Topic: Precipitation Measurement and Analysis

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: National Science Foundation, National Oceanic and Atmospheric Administration, Goddard Space Flight Center

OpenAlex ID: W2980276221

FWCI: 5.607

Cites: 58

Cited by: 153

Related to: 10