Improving estimates of ocean productivity and carbon sequestration through a combination of autonomous observation- and model-based approaches

通过结合自主观测和基于模型的方法改进对海洋生产力和碳封存的估计

• 批准号: RGPIN-2022-02975
• 负责人: Fennel, Katja
• 金额: $ 4.44万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=761593
• 关键词: Improving; estimates; ocean; productivity; carbon

The ocean is rapidly warming and becoming more stratified, which inhibits the vertical exchange of dissolved nutrients essential for maintaining photosynthetic primary production at the sea surface. Primary production supports the marine food web and plays a major role in regulating Earth's climate as a pathway for sequestering CO2 in the ocean's interior. Accurate quantification of ocean primary production and carbon sequestration, and their response to a warming climate are urgent scientific challenges but are hindered by the relative sparsity of biogeochemical observations. Measurements from research ships, while allowing for the broadest suite of direct measurements, are limited to a few point measurements due to the cost and effort required. Satellites can provide synoptic global coverage at high spatial resolution, but the only biogeochemical property observed is surface chlorophyll. The resulting gaps are hampering our ability to fully recognize changes in ocean biogeochemistry, to understand the underlying processes, and to test and improve models. The recent maturation of autonomous platforms and miniaturized biogeochemical sensors provides an opportunity to overcome the long-standing biogeochemical undersampling of the ocean, enabling us to observe changes by complementing traditional means of observation via satellites and ships. Autonomous platforms allow collection of highly resolved, unbiased, and sustained measurements of many essential biogeochemical ocean properties on the global scale in 3-dimensional space and in a cost-effective manner. Taking advantage of rapidly expanding autonomous ocean observation networks, in particular the biogeochemical (BGC) Argo program, the objectives of this research program are to 1) develop and apply new approaches for estimating ocean productivity and carbon export from autonomous observations, 2) rigorously test and refine ocean biogeochemical models using the newly emerging data to improve model capabilities, and 3) develop and apply statistical methods for blending autonomous biogeochemical observations and models to obtain the best possible estimates of the changing ocean state. A successful demonstration of the proposed approaches for estimating ocean productivity and carbon export will fundamentally transform international efforts to observe these processes, will strengthen the case for a sustained inclusion of autonomous platforms with BGC sensors in the global ocean observing system, and will lay the groundwork for enabling detection of climate-induced changes in the coming decades. A rigorous and systematic assessment of biogeochemical models will reduce uncertainties in global climate projections. Provision of well-constrained data-assimilative model products will directly benefit a variety of stakeholders in the northwest North Atlantic region. All of these outcomes are invaluable for sound mitigation of climate change impacts and effective steps toward net-zero carbon.

海洋正在迅速变暖并变得更加分层，这抑制了维持海面光合初级生产所必需的溶解营养物质的垂直交换。初级生产支持海洋食物网，并作为在海洋内部封存二氧化碳的途径，在调节地球气候方面发挥着重要作用。海洋初级生产力和碳固存的准确量化及其对气候变暖的反应是紧迫的科学挑战，但生物地球化学观测的相对稀疏阻碍了这一挑战。研究船的测量虽然允许最广泛的直接测量，但由于所需的成本和精力，仅限于几个点测量。卫星可以以高空间分辨率提供全球天气覆盖，但观察到的唯一生物地球化学特性是表面叶绿素。由此产生的差距阻碍了我们充分认识海洋生物地球化学变化、了解潜在过程以及测试和改进模型的能力。最近自主平台和小型化生物地球化学传感器的成熟为克服长期存在的海洋生物地球化学采样不足的问题提供了机会，使我们能够通过补充卫星和船舶的传统观测手段来观察变化。自主平台允许在全球范围内以具有成本效益的方式在 3 维空间中收集许多重要的生物地球化学海洋特性的高分辨率、公正和持续的测量结果。利用快速扩展的自主海洋观测网络，特别是生物地球化学 (BGC) Argo 计划，该研究计划的目标是 1) 开发和应用新方法来估计海洋生产力和自主观测的碳输出，2) 严格测试并利用新出现的数据完善海洋生物地球化学模型，以提高模型能力；3）开发和应用统计方法，将自主生物地球化学观测和模型相结合，以获得对海洋状态变化的最佳估计。所提出的估计海洋生产力和碳输出方法的成功示范将从根本上改变国际上观测这些过程的努力，将加强将带有 BGC 传感器的自主平台持续纳入全球海洋观测系统的理由，并将奠定基础以便能够检测未来几十年气候引起的变化。对生物地球化学模型进行严格和系统的评估将减少全球气候预测的不确定性。提供约束良好的数据同化模型产品将直接使北大西洋西北部地区的各种利益相关者受益。所有这些成果对于妥善缓解气候变化影响和迈向净零碳的有效步骤都是非常宝贵的。