US-GLOBEC NEP Phase IIIb-CGOA: Synthesis of Biophysical Observations at Multiple Trophic Levels Using Spatially Nested, Data-assimilating Models of the Coastal Gulf of Alaska

US-GLOBEC NEP 第三阶段 b-CGOA：使用阿拉斯加沿海湾的空间嵌套数据同化模型综合多个营养水平的生物物理观测结果

• 批准号: 0624776
• 负责人: Andrew Moore
• 金额: $ 35.51万
• 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: 2006
• 资助国家: 美国
• 起止时间: 2006-05-15 至 2010-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0624776&HistoricalAwards=false
• 关键词: US; GLOBEC; NEP; Phase; IIIb

This core retrospective modeling and data assimilation project addresses broad GLOBEC program goals, in addition to the more tightly focused aims of the Northeast Pacific (NEP) GLOBEC program in the Coastal Gulf of Alaska (CGOA). This work aims to elucidate mechanisms that influence the observed production at multiple trophic levels (phytoplankton, zooplankton, and pink salmon) in the CGOA. Specific goals are to: (i) quantify how physical features in the CGOA and variability related to climate change impact zooplankton biomass, production, distribution, and the retention and loss of zooplankton from coastal regions; (ii) quantify the impact of key coastal physical and biological processes, such as freshwater runoff and cross-shelf transport; and (iii) compare the impacts of climate variability and change (such as El Nino-La Nina cycles and regime shifts) on marine animal populations (pink salmon) in the CGOA. The coupled models employ advanced data assimilation techniques to produce optimal merged data/model products, which will be delivered online for use by the GLOBEC NEP-CGOA synthesis effort.End-products include: 1) Synthesis of GLOBEC-CGOA field data through explicit, adjoint based, 3D physical data assimilation into nested circulation models; 2) Application of these improved circulation fields to lower trophic level (NPZ) simulations which include salmon prey items; 3) Development of an adjoint version of the combined circulation-NPZ model, for formal exploration of the sensitivities of derived indices to forcing functions; 4) Production of physical, NPZ, and salmon hindcasts of years with significant interannual climate variability, delivered online for use by other GLOBEC synthesis research programs and models; 5) Production of circulation and prey fields for an Individual-Based Model of pink salmon; 6) Implementation of an Eulerian model of pink salmon with other NPZ components; 7) Assimilation of CGOA biological field data into 1D NPZ models with adjoint techniques; 8) Development of an NPZ model suitable for the Northeast Pacific, to examine spatial patterns of response to climate variability; 9) Visualization of Eulerian and Lagrangian model results with online, interactive, immersive display technologies.The data assimilation and hindcast activities will benefit NOAA's Fisheries and the Environment (FATE) program, which is concerned with effective biophysical indices and other Fisheries Oceanography programs in the CGOA which require accurate circulation and NPZ hindcasts for retrospective studies. The data assimilation and sensitivity issues will contribute to the Alaska Ocean Observing System (AOOS) program. Multiple Ph.D. scientists and students will be trained. Educational outreach will take place via novel visualization techniques to display 3D model results.

除了在阿拉斯加沿海湾（CGOA）中，这一核心回顾性建模和数据同化项目还解决了广泛的Globec计划目标。这项工作旨在阐明在CGOA中影响多个营养水平（浮游植物，浮游动物和粉红色鲑鱼）的观察到产生的机制。具体目标是：（i）量化CGOA中的物理特征和与气候变化有关的变异性如何影响浮游生物量生物量，生产，分布以及沿海地区浮游生物的保留和丧失； （ii）量化关键的沿海物理和生物学过程的影响，例如淡水径流和跨货架运输； （iii）比较气候变异性和变化（例如El Nino-la Nina周期和政权转移）对CGOA海洋动物种群（粉红色鲑鱼）的影响。耦合模型采用先进的数据同化技术来生产最佳的合并数据/模型产品，该产品将在线交付，以供Globec NEP-CGOA合成工作。末端产品包括：1）通过显式，基于相邻的基于相邻的Gobleec-CGOA现场数据，基于相邻，3D物理数据吸收到嵌套环环模型中； 2）将这些改进的循环场应用于较低的营养水平（NPZ）模拟，其中包括鲑鱼猎物； 3）开发合并循环NPZ模型的伴随版本，以正式探索派生指数对强制功能的敏感性； 4）生产具有重大年度气候变化的年份的物理，NPZ和鲑鱼后广播，并在线提供了其他Globec合成研究计划和模型； 5）生产粉红色鲑鱼模型的循环和猎物田； 6）实施具有其他NPZ组件的欧拉型粉红色鲑鱼模型； 7）将CGOA生物场数据吸收到具有伴随技术的1D NPZ模型中； 8）开发适合东北太平洋的NPZ模型，以检查对气候变异性的反应的空间模式； 9）通过在线，互动，身临其境的展示技术可视化欧拉和拉格朗日模型的结果。数据同化和后广播活动将使NOAA的渔业和环境（FATE）计划受益，该计划与有效的生物物理识别识别和其他需要准确的循环循环和NPZ HINDSCAST的研究有关的生物物理识别和其他渔业海洋学计划。数据同化和敏感性问题将有助于阿拉斯加海洋观察系统（AOOS）计划。多博士科学家和学生将接受培训。教育外展将通过新颖的可视化技术进行，以显示3D模型结果。