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Retrieval of single-Doppler radar wind field by nonlinear approximation

Advances in Atmospheric Sciences, 2003
The methods employed in recent years to retrieve vector wind information from single-Doppler radar observation are reviewed briefly. These methods are based on a linearity hypothesis for the wind field, so the retrieved wind field is sometimes negatively affected by the non-linearity of wind.
Zhao Kun   +4 more
openaire   +1 more source

Coastal wind field retrievals from ERS SAR images

IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development, 2002
A unique series of ERS-1/2 C-band SAR images was obtained off the southern coast of Norway during the COAST WATCH'95 experiment in September 1995. In this paper the authors carry out a systematic analysis of the mesoscale coastal wind field conditions expressed in the SAR images. Four different categories of phenomena including wind rows, fetch limited
E. Korsbakken   +2 more
openaire   +1 more source

First Russian scatteromer: Numerical simulation of wind field retrieval

2015 Radio and Antenna Days of the Indian Ocean (RADIO), 2015
This study continues our previous explorations of the new space-borne scatterometer concept. Using a fan-beam antenna and simultaneous RCS measurements at the horizontal and vertical polarizations, one can improve the accuracy of wind speed and wind direction retrieval.
V.Yu. Karaev   +6 more
openaire   +1 more source

Simulation of HY-2 scatterometer and analysis of wind field retrieval

SPIE Proceedings, 2010
The system structure and development scheme for the simulation of spaceborne microwave scatterometer are presented based on systematically reviewing and summarizing the related previous investigations and the wind measurement rationale of scatterometer, in combination with the consideration of current application requirement of China.
Mingsen Lin, Xingwei Jiang, Xuetong Xie
openaire   +1 more source

3D wind field retrieval from spaceborne Doppler radar

SPIE Proceedings, 2012
Numerous space missions carrying a radar are presently envisioned, particularly to study tropical rain systems. Among those missions, BOITATA is a joint effort between Brazil (INPE/AEB) and France (CNES). The goal is to embark a Doppler radar with scanning possibilities onboard a low-orbiting satellite.
LemaƮtre, Yvon, Viltard, Nicolas
openaire   +1 more source

Joint Programming With COM and Its Application in Wind Field Retrieval

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, 2010
According to complex conditions in the displaying of atmospheric wind field distribution with VC programming language, implementation method of atmospheric wind field retrieval system detected by lidar based on COM is presented. This method partitioned retrieval system and designed the ports of every modules according to COM criterion and functional ...
null You-lin Gu   +5 more
exaly   +2 more sources

Wind field retrieval from SAR images using the continuous wavelet transform

IEEE International Geoscience and Remote Sensing Symposium, 2003
The paper describes the results of a method, based on the two dimensional wavelet technique, to retrieve the wind field from Synthetic Aperture Radar (SAR) images without any external information about the wind direction. This method works well when backscatter structures formed by wind rolls are evidenced by SAR images.
Zecchetto S, De Biasio F
openaire   +3 more sources

Investigation of SAR wind field retrieval with respect to hurricane winds

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
Jochen Horstmann   +3 more
openaire   +1 more source

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

IEEE Transactions on Geoscience and Remote Sensing, 2022
Jianbing Li, Chun Shen, Hang Gao
exaly  

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

IEEE Transactions on Geoscience and Remote Sensing, 2022
Jianbing Li, Hang Gao, Kai Kwong Hon
exaly  

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