...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of oceanography >High-resolution surface salinity maps in coastal oceans based on geostationary ocean color images: quantitative analysis of river plume dynamics
【24h】

High-resolution surface salinity maps in coastal oceans based on geostationary ocean color images: quantitative analysis of river plume dynamics

机译：基于对地静止海洋彩色图像的沿海海洋高分辨率地表盐度图：河羽动力学的定量分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Sea surface salinity (SSS) in coastal oceans is a direct indicator of riverine plumes and provides essential information about the ocean environment and ecosystem, which affects coastal fisheries, aquaculture, and marine harvests. However, to accurately capture SSS patterns in coastal oceans, high temporal and spatial resolutions are required. This paper introduces a methodology to produce high-resolution ( 500 m) SSS maps for analysis of river plumes in coastal oceans based on hourly chromophoric dissolved organic matter data collected by the Geostationary Ocean Color Imager. Osaka Bay, located in the eastern Seto Inland Sea, was selected as a pilot region. A comparison between the initial estimates and calibrated SSS data showed a substantial decrease in estimation error, by up to 71%, over a wide range of salinity (20-34) using in situ SSS data collected through an automated observation system. Calculating the salinity anomaly based on the SSS map to identify plume areas, we evaluated the impact of a large runoff event induced by a super typhoon on the river plumes. After the plume formed in the estuary, it extended southward to the bay mouth along the southeastern coast. The plume area during the post-typhoon period covered half of the bay, approximately 1.5 times the area during the pre-typhoon period. The post-typhoon, low-SSS period continued for approximately 2 weeks. Our approach can be of practical use for analyzing the dynamics of river plumes in coastal oceans, leading to the development of coastal ocean prediction models related to operational oceanography.
机译：沿海海洋的海面盐度（SSS）是河流羽流的直接指标，并提供有关海洋环境和生态系统的重要信息，这些信息会影响沿海渔业，水产养殖和海洋收获。然而，为了精确地捕获沿海海洋中的SSS模式，需要高的时间和空间分辨率。本文介绍了一种方法，该方法基于对地静止海洋彩色成像仪收集的每小时发色溶解有机物数据，生成了用于分析沿海海洋河羽的高分辨率（500 m）SSS图。位于濑户内海东部的大阪湾被选为试点地区。初始估计值和校准的SSS数据之间的比较表明，使用通过自动观测系统收集的原位SSS数据，在广泛的盐度范围（20-34）中，估计误差显着降低了多达71％。基于SSS图计算盐度异常以识别羽流区域，我们评估了超级台风引发的大型径流事件对河羽的影响。在河口形成羽毛后，它向东南延伸到东南沿海的海湾口。台风后时期的羽流面积覆盖了海湾的一半，大约是台风前时期的面积的1.5倍。台风过后，低SSS持续了大约2周。我们的方法可用于分析沿海海洋中河羽的动态，从而导致与操作海洋学有关的沿海海洋预测模型的发展。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号