High-Order Taylor Expansion for Wind Field Retrieval Based on Ground-Based Scanning Lidar-Reference-Cited by-同舟云学术

High-Order Taylor Expansion for Wind Field Retrieval Based on Ground-Based Scanning Lidar

Published:2022 Issue: Volume:60 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Gao Hang¹^ORCID,Zhou Jie¹,Shen Chun¹^ORCID,Wang Xuesong¹,Chan Pak-Wai²,Hon Kai-Kwong²^ORCID,Li Jianbing¹^ORCID

Affiliation:

1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System and the College of Electronic Science and Technology, National University of Defense Technology, Changsha, China

2. Hong Kong Observatory, Hong Kong, China

Funder

National Natural Science Foundation of China

Postgraduate Scientific Research Innovation Project of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09764748.pdf?arnumber=9764748

Reference40 articles.

1. A Hybrid Method for Fine-Scale Wind Field Retrieval Based on Machine Learning and Data Assimilation

2. Fast dual‐doppler LiDAR retrieval of boundary layer wind profile

3. Quasi-wavelet calculations of sound scattering behind barriers

4. Data-driven discovery of partial differential equations

5. Discovering governing equations from data by sparse identification of nonlinear dynamical systems

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