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的30年表面电流映射（雷达）数据，包括加利福尼亚当前系统（CCS）。然后，这些数据将与风场的高分辨率回顾性分析配对，以验证当前和风脉冲的一致性。这种验证将使这些产品能够了解山脉和风异常对沿海上升流循环的影响。 CCS包括一个关键的生产性海洋生态系统，由沿海上升流的营养供应支持，沿海上升量显示中尺度（〜100 km），并在卫星图像中观察到的沿海尺度上升（〜100 km）和子尺度（约10 km）的细丝和涡流。表面电流图能够在时间和空间分辨率更高的时间和空间分辨率上解决细丝和涡流。高分辨率的大气循环模型为表面风应力提供了更高的分辨率，但是在适当的时间和空间尺度上，它们缺乏验证。如果成功，大气循环模型的验证会导致历史雷达观察结果可实现CCS中关键栖息地的解释和位置。这项工作本身将在海军研究生学校和加利福尼亚大学圣克鲁斯分校的研究生的帮助下进行。自1993年以来，多个运营商已在美国西海岸部署了鳕鱼风格的HFR系统，以测量表面电流，主要是为了支持操作目标。操作员在近实时提供了这些数据，并以最少的质量控制（QC）提供了这些数据，并且很少资助用于随后的QC或分析。 PI的位置是从多个来源获取这些数据集并有效地QC的独特位置。比较结果数据集中差异的分析计划将依赖于PIS的广泛经验，并与同一时期的风力应力卷曲估计值相比，与高分辨率数值模型相比。要使用的模型是耦合的海洋/大气中尺度预测系统（COAMPS），这是由海军研究实验室开发的最先进的大气循环模型，其高分辨率网格嵌套在全球预测系统中，以支持区域需求。该奖项反映了NSF的法定使命，并通过使用基金会的知识分子和更广泛的影响审查标准进行评估而被认为值得支持。