Analysis of Multi-Year Surface Current Mapping Data from HF Radar: Cross Validation of Submesoscale Divergence and Wind Stress Curl

高频雷达多年表面电流测绘数据分析：亚尺度散度和风应力旋度的交叉验证

• 批准号: 2219294
• 负责人: Jeffrey Paduan
• 金额: $ 33.97万
• 依托单位: University of California-Santa Cruz
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2219294&HistoricalAwards=false
• 关键词: Analysis; Multi; Year; Surface; Current

This project would collect, organize, and quality control a thirty-year record of surface current mapping (radar) data along the U.S. west coast, encompassing the California Current System (CCS). These data would then be paired with high-resolution retrospective analysis of wind fields to validate the coincidences of current and wind pulses. Such validation will enable the use of these products to understand the effects of mountains and wind anomalies on coastal upwelling circulation. The CCS comprises a critical, productive marine ecosystem supported by nutrient supply from coastal upwelling, which displays mesoscale (~100 km) and submesoscale (~10 km) filaments and eddies, as observed in satellite imagery. Surface current maps are capable of resolving filaments and eddies at much higher temporal and spatial resolution than with available satellite imagery. High-resolution atmospheric circulation models provide even higher resolution for surface wind stress, but they have lacked validation at the appropriate temporal and spatial scales. If successful, the validation of atmospheric circulation model results with the historical radar observations will enable interpretation and location of critical habitats within the CCS. The work itself will be conducted with the aid of graduate students at the Naval Postgraduate School and the University of California Santa Cruz. Since 1993, multiple operators have deployed CODAR-style HFR systems along the U.S. West coast to measure surface currents, largely in support of operational goals. Operators provided these data to the public in near-real-time and with minimal quality control (QC), and were seldom funded for subsequent QC or analyses. The PI is uniquely positioned to acquire these datasets from multiple sources, and effectively QC them. The analysis plan to compare divergences in the resulting dataset will rely on the PIs extensive experience with divergence calculations and with comparison to wind stress curl estimates for the same period from a high resolution numerical model. The model to be used is the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS), a state-of-the art atmospheric circulation model developed by the Naval Research Laboratory, with high resolution grids nested within a global forecasting system to support regional requirements.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将收集、组织和质量控制美国西海岸沿着包括加州海流系统（CCS）的30年表面海流测绘（雷达）数据记录。然后，这些数据将与风场的高分辨率回顾性分析配对，以验证电流和风脉冲的一致性。这种验证将使这些产品的使用，以了解山脉和风异常对沿海上升流环流的影响。CCS包括一个重要的、多产的海洋生态系统，由沿海上升流的营养供应支持，如卫星图像所示，显示出中尺度（~100公里）和次中尺度（~10公里）的细丝和漩涡。表面流图能够以比现有卫星图像高得多的时间和空间分辨率分辨细丝和漩涡。高分辨率大气环流模式提供了更高的分辨率为地面风应力，但他们缺乏适当的时间和空间尺度的验证。如果成功的话，用历史雷达观测验证大气环流模型的结果将能够在CCS内解释和定位关键生境。这项工作本身将在海军研究生院和加州大学圣克鲁斯的研究生的帮助下进行。自1993年以来，多家运营商已在美国西海岸沿着部署了CODAR式HFR系统，以测量表层海流，主要是为了支持业务目标。运营商以近乎实时的方式向公众提供这些数据，并进行最低限度的质量控制（QC），并且很少为随后的QC或分析提供资金。PI具有独特的定位，可以从多个来源获取这些数据集，并对其进行有效的质量控制。比较所得数据集中的分歧的分析计划将依赖于PI在分歧计算方面的丰富经验，以及与来自高分辨率数值模型的同期风应力旋度估计值的比较。使用的模式是海洋/大气耦合中尺度预报系统（COAMPS），这是海军研究实验室开发的最先进的大气环流模式，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查进行评估，被认为值得支持的搜索.