Precipitation Retrieval from Fengyun-3D Microwave Humidity and Temperature Sounder Data Using Machine Learning

Precipitation Retrieval from Fengyun-3D Microwave Humidity and Temperature Sounder Data Using Machine Learning

As an important component of the Earth system, precipitation plays a vital role in regional and global water cycles. Based on Microwave Humidity and Temperature Sounder (MWHTS) onboard FY-3D satellite, four machine learning models, random forest regression (RFR), support vector machine (SVM), multil...

Full description

Bibliographic Details
Main Authors: Kangwen Liu, Jieying He, Haonan Chen
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
FY-3D satellite
MWHTS
passive microwave
machine learning
precipitation retrieval
linear combinations
Online Access:https://www.mdpi.com/2072-4292/14/4/848

Internet

https://www.mdpi.com/2072-4292/14/4/848

Similar Items