A damped Newton variational inversion method for SAR wind retrieval-Reference-Cited by-同舟云学术

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A damped Newton variational inversion method for SAR wind retrieval

Published:2017-01-27 Issue:2 Volume:122 Page:823-845
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Jiang Zhuhui¹²^ORCID,Li Yuanxiang¹³^ORCID,Yu Fangjie³⁴,Chen Ge³⁴,Yu Wenxian¹

Affiliation:

1. School of Aeronautics and Astronautics; Shanghai Jiao Tong University; Shanghai China

2. Institute of Atmospheric Physics, Chinese Academy of Sciences; LAGEO; Beijing China

3. Laboratory for Regional Oceanography and Numerical Modeling; Qingdao National Laboratory for Marine Science and Technology; Qingdao China

4. College of Information Science and Engineering; Ocean University of China; Qingdao China

Funder

National Natural Science Fund of China

National High Technology Research and Development Program of China

Special Fund for Public Welfare Meteorological Industry of China

NASA Earth Science

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016JD025178/fullpdf

Reference30 articles.

1. Assessing the Bayesian inversion technique of C-band synthetic aperture radar data for the retrieval of wind fields in marine coastal areas;Adamo;J. Appl. Remote Sens.,2014

2. Atmospheric boundary layer rolls observed by the synthetic aperture radar aboard the ERS-1 satellite;Alpers;J. Geophys. Res.,1994

3. Retrieval and quality assessment of wind velocity vectors on the ocean with C-band SAR;Carvajal;IEEE Trans. Geosci. Remote Sens.,2014

4. Properties of variational data assimilation for synthetic aperture radar wind retrieval;Choisnard;J. Geophys. Res.,2008

5. Structure of the surface wind field from Seasat SAR;Gerling;J. Geophys. Res.,1986

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2. Assessment of variational method schemes for synthetic aperture radar wind retrieval;CHINESE J GEOPHYS-CH;2021

3. Joint retrieval of ocean surface wind and current vectors from satellite SAR data using a Bayesian inversion method;Remote Sensing of Environment;2021-07

4. The evaluation of damped Newton variational ocean wind retrieval method;Advances in Space Research;2021-03

5. Optimal Interpolation Model for Synthetic Aperture Radar Wind Retrieval;Frontiers in Earth Science;2020-10-29

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