Quantifying biological productivity and ocean carbon uptake in the NE Subarctic Pacific using observations and models

使用观测和模型量化亚北极东北太平洋的生物生产力和海洋碳吸收

• 批准号: 2241931
• 负责人: Amanda Timmerman
• 金额: $ 76.77万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-01 至 2026-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2241931&HistoricalAwards=false
• 关键词: Quantifying; biological; productivity; ocean; carbon

Earth system models are important tools to evaluate the current and future changes in the Earth’s environment. However, there are still many model disagreements about the patterns of carbon uptake by the oceans. This project will carry out field observations and computer modeling to determine the biological carbon uptake in the subarctic NE Pacific. This project will integrate various observations, for example, shipboard, autonomous float, satellite measurement, with high-performance computing. This project will help identify the causes of model biases and contribute to future model development. This study will engage local undergraduates as student assistants from nearby HBCUs in the Atlanta area and through summer REU program. The project is organized into three themes. First is the integration of in-vitro, in-situ and satellite observations of biological productivity. Second is the development of a regional carbon and ecosystem model. Third is characterization of spatial and temporal variability of biological productivity and air-sea carbon flux. The main objective is to quantify and reduce uncertainty in the regional biological carbon uptake through the combination of in situ and vitro methods and modeling. The field component will utilize the Line P time-series cruise in June 2024. Incubation experiments (13C, 15NO3, 15NH4) at five major stations will be conducted together with high-resolution underway O2/Ar measurements. This will quantify primary production and carbon export. To increase data coverage, autonomous floats and satellite observations will be incorporated. The new and existing observations will be used to validate and calibrate a new 3-dimensional regional ecosystem and carbon cycle model at eddy-resolving resolution. This model will be calibrated, then this model will be used to carry out multi-decadal simulation (1995-present). A suite of sensitivity model experiments will explore a wide range of scientific questions and hypotheses including the role of iron dynamics, mesoscale physical features, climate modes, and extreme events such as marine heat waves.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.

地球系统模型是评估地球环境当前和未来变化的重要工具，但是，对于海洋碳吸收模式仍然存在许多模型分歧，该项目将进行实地观测和计算机建模来确定生物碳吸收模式。该项目将把船载、自主浮标、卫星测量等各种观测与高性能计算相结合。该项目将有助于确定模型偏差的原因，并为未来的模型研究做出贡献。将聘请本地本科生作为亚特兰大地区附近 HBCU 的学生助理，该项目分为三个主题：第一是生物生产力的体外、现场和卫星观测的整合。第三是生物生产力和海气碳通量的时空变化特征，主要目标是通过结合原位和体外方法和建模来量化和减少区域生物碳吸收的不确定性。现场组件将利用 P 线时间序列巡航将于 2024 年 6 月进行。将在五个主要站进行孵化实验（13C、15NO3、15NH4）以及正在进行的高分辨率 O2/Ar 测量，这将量化初级生产和碳输出，以增加数据覆盖范围和自主性。新的和现有的观测将被纳入涡流解析分辨率的新的三维区域生态系统和碳循环模型。校准后，该模型将用于进行多年代模拟（1995 年至今），一系列灵敏度模型实验将探索广泛的科学问题和假设，包括铁动力学的作用、中尺度物理特征、气候模式。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。