Testing the diagnosis of marine atmospheric boundary-layer structure from synthetic aperture radar

IF 0.1 Q4 ENGINEERING, MULTIDISCIPLINARY Johns Hopkins Apl Technical Digest Pub Date : 2000-09-30 DOI:10.21236/ada630865

T. Sikora, D. Thompson, J. Bleidorn

{"title":"Testing the diagnosis of marine atmospheric boundary-layer structure from synthetic aperture radar","authors":"T. Sikora, D. Thompson, J. Bleidorn","doi":"10.21236/ada630865","DOIUrl":null,"url":null,"abstract":"Abstract : My long-term goal is to continue to test and refine a similarity-based method for the extraction of marine atmospheric boundary layer (MABL) fluxes from synthetic aperture radar (SAR) wind imagery of the sea surface. Thus far, I have implemented this method on seventeen SAR wind images from off the east coast of the United States using bulk-derived statistics from coincident buoy data as ground truth. Agreement is encouraging. The rate of acquisition of SAR wind imagery available to me has increased. Imagery is available over the Gulf of Alaska as well as off the east coast of the United States, in conjunction with the National Oceanic and Atmospheric Administration (NOAA)-sponsored Storm Watch / Alaska SAR Demonstration (http://fermi.jhuapl.edu/sar/stormwatch/index.html). Therefore, the potential for robust testing of the method will continue. Questions I wish to address include the influence of the surface wave state, the synoptic and mesoscale meteorological environment, pixel size, and the averaging window size of the SAR wind imagery on the performance of the method.","PeriodicalId":14788,"journal":{"name":"Johns Hopkins Apl Technical Digest","volume":null,"pages":null},"PeriodicalIF":0.1000,"publicationDate":"2000-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Johns Hopkins Apl Technical Digest","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21236/ada630865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 17

Abstract

Abstract : My long-term goal is to continue to test and refine a similarity-based method for the extraction of marine atmospheric boundary layer (MABL) fluxes from synthetic aperture radar (SAR) wind imagery of the sea surface. Thus far, I have implemented this method on seventeen SAR wind images from off the east coast of the United States using bulk-derived statistics from coincident buoy data as ground truth. Agreement is encouraging. The rate of acquisition of SAR wind imagery available to me has increased. Imagery is available over the Gulf of Alaska as well as off the east coast of the United States, in conjunction with the National Oceanic and Atmospheric Administration (NOAA)-sponsored Storm Watch / Alaska SAR Demonstration (http://fermi.jhuapl.edu/sar/stormwatch/index.html). Therefore, the potential for robust testing of the method will continue. Questions I wish to address include the influence of the surface wave state, the synoptic and mesoscale meteorological environment, pixel size, and the averaging window size of the SAR wind imagery on the performance of the method.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

利用合成孔径雷达诊断海洋大气边界层结构的试验研究

摘要/ Abstract摘要:我的长期目标是继续测试和完善一种基于相似性的方法，用于从海面合成孔径雷达(SAR)风成像中提取海洋大气边界层(MABL)通量。到目前为止，我已经在美国东海岸的17张SAR风图像上实施了这种方法，使用来自一致浮标数据的大量统计数据作为地面真实值。协议令人鼓舞。我可以获得的SAR风图像的速度增加了。与美国国家海洋和大气管理局(NOAA)赞助的风暴观察/阿拉斯加SAR演示(http://fermi.jhuapl.edu/sar/stormwatch/index.html)一起，阿拉斯加湾以及美国东海岸的图像都可以获得。因此，对该方法进行稳健测试的潜力将继续存在。我希望解决的问题包括表面波状态、天气和中尺度气象环境、像素大小和SAR风成像的平均窗口大小对方法性能的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Johns Hopkins Apl Technical Digest 工程技术-工程：综合

CiteScore

0.30

自引率

50.00%

发文量

审稿时长

>12 weeks

期刊介绍： The Johns Hopkins APL Technical Digest (ISSN 0270-5214) is an unclassified technical journal published quarterly under the auspices of the Johns Hopkins University Applied Physics Laboratory (APL). Published in print and online, the Digest seeks to communicate the work performed at APL to its sponsors and to the scientific and engineering communities, defense establishment, academia, and industry. The electronic version may include multimedia capabilities for enhanced visualization of some concepts. The following abstracting services currently cover the Johns Hopkins APL Technical Digest: Chemical Abstracts; Current Contents; Engineering Village; and the following CSA abstracts: Aerospace and High Technology Database; Aquatic Sciences and Fisheries Abstracts; Computer and Information Systems Abstracts; Electronics and Communications Abstracts; Mechanical and Transportation Engineering Abstracts; Meteorological and Geoastrophysical Abstracts; and Oceanic Abstracts.