测绘通报 ›› 2024, Vol. 0 ›› Issue (9): 32-37.doi: 10.13474/j.cnki.11-2246.2024.0907

• 学术研究 • 上一篇    下一篇

热带典型海洋区域CYGNSS风速产品质量评估

桑文刚1, 张国威1, 王田雨1, 李斌2, 宁一鹏1   

  1. 1. 山东建筑大学测绘地理信息学院, 山东 济南 250101;
    2. 山东电力工程咨询院有限公司, 山东 济南 250013
  • 收稿日期:2024-01-19 发布日期:2024-10-09
  • 作者简介:桑文刚(1978—),男,博士,教授,主要研究方向为GNSS-R技术与应用。E-mail:5201197@qq.com
  • 基金资助:
    国家自然科学青年基金(41204021);山东省自然科学基金(ZR2022MD103);山东省重点研发计划(2019GSF111052)

Quality evaluation of CYGNSS wind speed products in typical tropical ocean regions

SANG Wengang1, ZHANG Guowei1, WANG Tianyu1, LI Bin2, NING Yipeng1   

  1. 1. School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101 China;
    2. SDEPCI, Jinan 250013, China
  • Received:2024-01-19 Published:2024-10-09

摘要: 为了评估旋风全球卫星导航系统(CYGNSS)海面风速产品在热带海洋上的精度及稳定性,本文在分析CYGNSS不同版本、不同等级的数据产品,以及其生成过程、时空分辨率、适用度等基础上,以全球热带系泊浮标阵列与美国国家飓风中心(NHC)提供的实测风速数据为参照,选择大西洋、印度洋,以及太平洋中、东部热带典型区域为研究区,从有效数据量、不同精度指标等多方面重点对v2.1与v3.1版本的L2级风速产品进行了质量评估。结果表明:相比较于v2.1,v3.1中、低风速产品在各研究区的有效数据量平均提升约40%,与浮标实测风速的均方根误差减小了43%以上;高风速产品与NHC飓风监测数据的均方根误差减小了27%以上;在不同风速条件下的海面风速产品均与参照数据表现出了更高的相关性。本文研究成果可为用户在精准选择CYGNSS数据产品进行海面风场探测领域的研究及应用提供参考。

关键词: 旋风全球卫星导航系统, 海面风速, 浮标阵列, 飓风监测, 质量评估

Abstract: In order to evaluate the accuracy and stability of the sea surface wind speed product of the Cyclone Global Navigation Satellite System version 3.1, the paper analyzes the different versions and levels of data products and their generation processes, spatiotemporal resolution, applicability, etc. Based on the global tropical buoy array and the measured wind speed data provided by the National Hurricane Center in the United States, focus on evaluating the quality of the new version 3.1 and the current mainstream 2.1 version of level 2 wind speed products from various aspects such as effective data volume and different precision evaluation indicators. Experimental verification was conducted in typical regions of the Atlantic, Indian Ocean, and central and eastern tropical regions of the Pacific Ocean. Experimental results showed that compared to version 2.1, the effective data volume of medium and low wind speed data in each study area increased by an average of about 40% in version 3.1, and the root mean square error with the buoy reference data decreased by more than 43%; The root mean square error between high wind speed data and NHC hurricane reference data decreased by more than 27%, and wind speed data under different sea conditions showed higher correlation with the reference data. The results of this study can provide reference for users in accurately selecting CYGNSS data products for research and application in the field of sea surface wind field detection.

Key words: CYGNSS, sea surface wind speed, buoy array, hurricane monitoring, quality evaluation

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