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三十年的地表海流测绘（雷达）数据记录，其中包括加州海流系统 (CCS)。然后将这些数据与风场的高分辨率回顾性分析相结合，以验证海流和风脉冲的一致性。此类验证将使这些产品的使用能够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、富有生产力的海洋生态系统，由沿海上升流的养分供应支持，如卫星图像中所观察到的，该生态系统显示出中尺度（约 100 公里）和亚中尺度（约 10 公里）细丝和涡流。表面电流图能够以比现有卫星图像更高的时间和空间分辨率来解析细丝和涡流。高分辨率大气环流模型为表面风应力提供了更高的分辨率，但它们缺乏在适当的时间和空间尺度上的验证。如果成功，利用历史雷达观测结果验证大气环流模型结果将能够解释和定位 CCS 内的关键栖息地。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，多家运营商在美国西海岸部署了 CODAR 式 HFR 系统来测量海面水流，主要是为了支持运营目标。操作员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)，并且很少为后续的 QC 或分析提供资金。 PI 具有独特的优势，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。比较结果数据集中偏差的分析计划将依赖于 PI 在偏差计算方面的丰富经验，以及与高分辨率数值模型同期风应力旋度估计值的比较。所使用的模型是海洋/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智力价值和更广泛的影响审查标准进行评估，被认为值得支持。