A multi-scale study of wind fields retrieved using synthetic aperture radars and scatterometers

被引:0
|
作者
Ben Ticha, Mohamed Bassam [1 ,2 ]
Garello, Rene [1 ]
Chapron, Bertrand [2 ]
机构
[1] Telecom Bretagne, Brest, France
[2] IFREMER, Brest, France
来源
关键词
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Different physical phenomena could affect the wind fields retrieved using synthetic aperture radars or scatterometers. The influence of these phenomena varies with the spatial scales considered. In this paper, using multi-scale analysis, we compare wind data obtained via different sources. Scatterometer data is integrated into a blended wind product available at IFRFMER. This product is the result of an optimal interpolation, based on the kriging approach, of ECMWF analysis wind fields, radiometers and scatterometers; wind measurements. The blended wind fields have a spatial resolution of 0.25 degrees (similar to 25 km). We use these wind fields in our analysis and compare them with wind fields retrieved using the synthetic aperture radar on-board ENVISAT with a spatial resolution of I km. The ability of synthetic aperture radars to retrieve wind measurements near the coast permits to evaluate the influence of some coastal effects, tidal currents for example. The study case considered in this paper is the northern coasts of the French region of Brittany. This study is undertaken under the framework of the MODENA project.
引用
收藏
页码:1059 / +
页数:2
相关论文
共 50 条
  • [1] Ocean wind fields retrieved from the advanced synthetic aperture radar aboard ENVISAT
    J. Horstmann
    W. Koch
    S. Lehner
    Ocean Dynamics, 2004, 54 : 570 - 576
  • [2] Wind retrieval over the ocean surface using synthetic aperture radars
    Horstmann, J
    Lehner, S
    Koch, W
    Schulz-Stellenfleth, J
    Tonboe, R
    CEOS SAR WORKSHOP, 2000, 450 : 45 - 52
  • [3] Ocean wind fields retrieved from the advanced synthetic aperture radar aboard ENVISAT
    Horstmann, J
    Koch, W
    Lehner, S
    OCEAN DYNAMICS, 2004, 54 (06) : 570 - 576
  • [4] High-resolution wind fields from synthetic aperture radars and numerical models for offshore wind farming
    Lehner, S
    Horstmann, J
    Hasager, C
    BUILDING THE EUROPEAN CAPACITY IN OPERATIONAL OCEANOGRAPHY, PROCEEDINGS, 2003, 69 : 450 - 457
  • [5] Mapping mesoscale and submesoscale wind fields using synthetic aperture radar
    Thompson, DR
    Beal, RC
    IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 1382 - 1384
  • [6] Deep Multi-Scale Recurrent Network for Synthetic Aperture Radar Images Despeckling
    Zhou, Yuanyuan
    Shi, Jun
    Yang, Xiaqing
    Wang, Chen
    Kumar, Durga
    Wei, Shunjun
    Zhang, Xiaoling
    REMOTE SENSING, 2019, 11 (21)
  • [7] Synthetic Aperture Radar Image Segmentation Based on Multi-scale Bayesian Networks
    Zhang Jianguang
    Li Yongxia
    An Zhihong
    2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3, 2013, : 636 - 640
  • [8] Synthetic aperture optical image restoration based on multi-scale feature enhancement
    Zhang Yin-Sheng
    Tong Jun-Yi
    Chen Ge
    Shan Meng-Jiao
    Wang Shuo-Yang
    Shan Hui-Lin
    ACTA PHYSICA SINICA, 2024, 73 (06)
  • [9] Despeckling Algorithm for Remote Sensing Synthetic Aperture Radar Images using Multi-Scale Curvelet Transform
    Kooshesh, Monireh
    Akbarizadeh, Gholamreza
    2015 INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP), 2015, : 228 - 233
  • [10] MULTITARGET DETECTION USING SYNTHETIC SAMPLED APERTURE RADARS
    MAHAFZA, BR
    HEIFNER, LH
    GRACCHI, VC
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1995, 31 (03) : 1127 - 1132