A Bagged-Tree Machine Learning Model for High and Low Wind Speed Ocean Wind Retrieval From CYGNSS Measurements-Reference-Cited by-同舟云学术

A Bagged-Tree Machine Learning Model for High and Low Wind Speed Ocean Wind Retrieval From CYGNSS Measurements

Author:

Cheng Pin-Hsuan¹^ORCID,Lin Charles Chien-Hung²^ORCID,Morton Y. T. Jade¹^ORCID,Yang Shu-Chih³^ORCID,Liu Jann-Yenq⁴

Affiliation:

1. Ann and H.J. Smead Department of Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, USA

2. Earth Science Department, National Cheng Kung University, Tainan City, Taiwan

3. Department of Atmospheric Sciences, National Central University, Taoyuan City, Taiwan

4. Center for Astronautical Physics and Engineering, National Central University, Taoyuan City, Taiwan

Funder

National Science and Technology Council

Taiwan Space Agency

National Oceanic and Atmospheric Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference46 articles.

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