Tropical Cyclone Winds Retrieval Algorithm for the Cyclone Global Navigation Satellite System Mission-Reference-Cited by-同舟云学术

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Tropical Cyclone Winds Retrieval Algorithm for the Cyclone Global Navigation Satellite System Mission

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Li Xiaohui¹^ORCID,Yang Jingsong¹^ORCID,Wang Jiuke²,Huang Feixiong³^ORCID,Fang He⁴^ORCID,Han Guoqi⁵^ORCID,Xiao Qingmei¹,Li Weiqiang⁶^ORCID

Affiliation:

1. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China

2. School of Artificial Intelligence, Sun Yat-sen University, Zhuhai, China

3. National Space Science Center, Chinese Academy of Sciences, Beijing, China

4. Zhejiang Climate Centre, Hangzhou, China

5. Fisheries and Oceans Canada, Institute of Ocean Sciences, Sidney, BC, Canada

6. Institute of Space Sciences (ICE, Barcelona, CSIC), Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10261296.pdf?arnumber=10261296

Reference25 articles.

1. Wind Speed Estimation From CYGNSS Using Artificial Neural Networks

2. Assessment of CYGNSS Wind Speed Retrievals in Tropical Cyclones

3. Information fusion for GNSS-R wind speed retrieval using statistically modified convolutional neural network

4. Analysis of coastal wind speed retrieval from CYGNSS mission using artificial neural network

5. The NOAA Track-Wise Wind Retrieval Algorithm and Product Assessment for CyGNSS

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