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

该项目将收集、组织和质量控制美国西海岸30年的地表洋流测绘（雷达）数据记录，包括加州洋流系统（CCS）。然后，这些数据将与高分辨率的风场回顾性分析相匹配，以验证电流和风脉冲的一致性。这样的验证将使这些产品的使用能够理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、富有生产力的海洋生态系统，由沿海上升流的营养供应支持，如卫星图像所观察到的，它显示中尺度（~100公里）和亚中尺度（~10公里）细丝和漩涡。与现有卫星图像相比，地表洋流地图能够以更高的时间和空间分辨率分辨细丝和涡流。高分辨率大气环流模式为地表风应力提供了更高的分辨率，但它们缺乏在适当的时空尺度上的验证。如果成功，大气环流模式结果与历史雷达观测的验证将使CCS内关键栖息地的解释和定位成为可能。这项工作本身将在海军研究生院和加州大学圣克鲁斯分校的研究生的帮助下进行。自1993年以来，多家运营商已经在美国西海岸部署了codar式HFR系统来测量地表水流，主要是为了支持作业目标。作业者几乎实时地向公众提供这些数据，并且很少进行质量控制（QC），很少有资金用于后续的QC或分析。PI具有独特的定位，可以从多个来源获取这些数据集，并有效地对其进行质量控制。比较结果数据集中的散度的分析计划将依赖于pi在散度计算方面的丰富经验，以及与同一时期高分辨率数值模型的风应力旋度估计进行比较。使用的模式是海洋/大气耦合中尺度预测系统（COAMPS），这是由海军研究实验室开发的最先进的大气环流模式，在全球预报系统中嵌套了高分辨率网格，以支持区域需求。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.