山口风急流及相关海岸上升流气候学的建立

S. Graves, Xiang Li, K. Keiser, Deborah K. Smith
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引用次数: 0

摘要

通过沿海拓扑结构加速的风能够产生射流,经常导致近海岸地区的冷水上升流事件。在全球许多山口位置的偏远地区,现场测量通常是不可用的,因此,为了为研究人员以及军事和商业利益提供这些事件的记录,这个美国宇航局资助的项目正在展示如何利用遥感卫星数据衍生产品、融合模型和观测,用于风和海洋表面温度,以检测风喷流和上升流事件。利用交叉校准、多平台(CCMP)海面风产品和最佳插值海面温度(OISST)产品,提出了一种用于中美洲海湾地区间隙风和海洋上升流事件自动检测的算法。采用分层阈值法和区域生长法提取强风和温度异常区域。后处理步骤进一步将检测到的事件链接起来,以生成这些事件的时间序列。虽然是为中美洲地区开发的,但该算法正在扩展到适用于其他沿海地区,以便检测到的事件产品在全球范围内保持一致。通过与全球水文资源中心(GHRC)的合作,该项目正在分析大量的气候数据记录,以产生已知地理位置的风射流和上升流事件的气候学结果,这将作为其他研究人员的资源。同样,通过将该项目的分析技术与GHRC的数据摄取处理相结合,新的或当前事件的识别和通知同样将公开提供给研究、商业和军事用户。本文提供了一份报告,介绍了应用该团队的方法对选定的山隙射流位置进行识别和捕获事件的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building a Climatology of Mountain Gap Wind Jets and Related Coastal Upwelling
Winds accelerating through coastal topology are capable of generating jets that often result in cold-water upwelling events in near-coast locations. In situ measurements are frequently not available in remote locations for many of the mountain gap locations globally, so to provide a record of these events for researchers, as well as military and commercial interests, this NASA-funded project is demonstrating how remotely sensed satellite data derived products, and fused model and observations, for wind and sea surface temperatures can be used to detect both wind jet and upwelling events. An algorithm was developed to automatically detect gap wind and ocean upwelling events at gulf regions of Central America using the Cross-Calibrated, Multi-Platform (CCMP) ocean surface wind product and the Optimally Interpolated Sea Surface Temperature (OISST) product. Hierarchical thresholding and region growing methods are used to extract regions of strong winds and temperature anomalies. A post processing step further links the detected events to generate time series of these events. Though developed for Central America regions, the algorithm is being extended to apply to other coastal regions so that detected event products are globally consistent. Through collaboration with the Global Hydrology Resource Center (GHRC), a NASA Distribute Active Archive Center, this project is analyzing large climate data records to generate a resulting climatology of wind jet and upwelling events at known geographic locations will be available as a resource for other researchers. Likewise, through integration of the project's analysis techniques with the GHRC's data ingest processing, the identification and notification of new or current events will likewise be openly available to research, commercial and military users. This paper provides a report on the preliminary results of applying the team's approach of identifying and capturing events for selected mountain gap jet locations.
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