Marine environmental prediction through improved biogeochemical models
通过改进的生物地球化学模型进行海洋环境预测
基本信息
- 批准号:RGPIN-2014-03938
- 负责人:
- 金额:$ 4.44万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2014
- 资助国家:加拿大
- 起止时间:2014-01-01 至 2015-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Anthropogenic perturbations of the global carbon and nitrogen cycles are altering fundamental physical and chemical properties of the ocean including water temperature, vertical stratification, circulation, pH, nutrient regimes and oxygen levels. It is expected that these changes in environmental conditions will strongly affect planktonic communities (which support the marine food web and play a major role in regulating the ocean’s uptake of carbon) and higher trophic level species like fish, bivalves and crustaceans (which are of commercial importance). Numerical models that accurately simulate physical, chemical and biological processes are a key tool for describing current and future environmental ocean conditions; however, a paucity of detailed ocean observations has severely limited efforts to critically evaluate models and improve their realism. To date there is no consensus on an appropriate biogeochemical model structure, and model projections of how ocean conditions will change in the coming century vary dramatically. Furthermore, model projections of future conditions (including those of the IPCC) rely on global models that lack the spatial resolution to adequately represent coastal regions (defined here to include continental shelves, i.e. regions with water depths <200m). Yet coastal processes have been shown to significantly affect global element cycles, and the coastal ocean is experiencing some of the fastest changes and is of most direct importance for human activities. The long-term objective of my research program is to develop models that better predict how natural variability, human pressures and climate change affect marine ecosystems now and in the future. The projects proposed here aim specifically at improving biogeochemical models in two key aspects: by combining models with new data streams from a range of ocean observing systems in order to improve process-level representations and parameterizations (Theme 1), and by improving the representation of biogeochemical processes in shelf regions through highly resolved regional models with dynamic benthic-pelagic coupling (Theme 2). Theme 1 takes advantage of recent progress in the development of autonomous oceanographic platforms and compact, low-cost sensors for measuring many important biological and chemical quantities in the ocean. The developments allow us to gather observations at ecologically relevant spatial and temporal scales and offer enormous potential for improving biogeochemical models. Theme 2 directly addresses a major shortcoming of current models, namely the lack biogeochemical interaction between sediments and water column. Prior research has shown that the exchange of constituents between sediments and the overlying water column is of major importance in determining productivity and environmental conditions in coastal systems unlike in the deep ocean where such exchange is weak. At present models either neglect or crudely parameterize this interaction. Biogeochemical models are and will continue to be essential tools in assessing, understanding and projecting the environmental changes affecting coastal and open ocean ecosystems. Further development of these tools is of global relevance and of strategic importance for Canada given its long coastline, its dependence on coastal resources and its commitment to implementing an ecosystem approach to ocean resource management. The program proposed here will lead to concrete model improvements.
氮循环的人为扰动正在改变基本的物理和化学特性,循环,pH,pH,养分状态和氧气水平会强烈影响浮游生物群落(这支持海洋食品网络并在调节Optake Optake Optake optake中起着主要作用碳和较高的奖杯物种,例如鱼类和甲壳动物(非常重要的是,这些模型都可以模拟物理,化学和生物学的过程尚未达成不当的生物学模型结构,即在一个世纪中的海洋变化如何变化各不相同某些最快的变化是我的研究计划的直接重要性。在两个关键方面中的杂志:通过组合一系列观察系统,以改善流程和陈述(主题1)Shrough中的生物地球化学过程,高度高度高度高度高度高度高度的Cadels与动态的底栖 - 斜视耦合(主题2)。自主海洋学平台和紧凑的低成本传感器,用于测量许多重要的海洋化学量解决当前模型的主要缺点和水柱,确定了深海的生产力和这种交换薄弱的环境条件。影响TAL和开放海洋生态系统,鉴于其长期的海岸线o o o ostelliess ostline Resources及其对海洋资源管理的承诺。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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Fennel, Katja其他文献
Nitrogen cycling in the Middle Atlantic Bight: Results from a three-dimensional model and implications for the North Atlantic nitrogen budget
- DOI:
10.1029/2005gb002456 - 发表时间:
2006-07-19 - 期刊:
- 影响因子:5.2
- 作者:
Fennel, Katja;Wilkin, John;Haidvogel, Dale - 通讯作者:
Haidvogel, Dale
Ocean biogeochemical modelling
- DOI:
10.1038/s43586-022-00154-2 - 发表时间:
2022-09-22 - 期刊:
- 影响因子:0
- 作者:
Fennel, Katja;Mattern, Jann Paul;Yu, Liuqian - 通讯作者:
Yu, Liuqian
Modeling denitrification in aquatic sediments
- DOI:
10.1007/s10533-008-9270-z - 发表时间:
2009-03-01 - 期刊:
- 影响因子:4
- 作者:
Fennel, Katja;Brady, Damian;Tobias, Craig - 通讯作者:
Tobias, Craig
Estimating time-dependent parameters for a biological ocean model using an emulator approach
- DOI:
10.1016/j.jmarsys.2012.01.015 - 发表时间:
2012-08-01 - 期刊:
- 影响因子:2.8
- 作者:
Mattern, Jann Paul;Fennel, Katja;Dowd, Michael - 通讯作者:
Dowd, Michael
Climate Change Projected to Exacerbate Impacts of Coastal Eutrophication in the Northern Gulf of Mexico
- DOI:
10.1002/2017jc013583 - 发表时间:
2018-05-01 - 期刊:
- 影响因子:3.6
- 作者:
Laurent, Arnaud;Fennel, Katja;Lehrter, John - 通讯作者:
Lehrter, John
Fennel, Katja的其他文献
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{{ truncateString('Fennel, Katja', 18)}}的其他基金
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 - 财政年份:2022
- 资助金额:
$ 4.44万 - 项目类别:
Discovery Grants Program - Individual
Marine environmental prediction through improved biogeochemical models
通过改进的生物地球化学模型进行海洋环境预测
- 批准号:
RGPIN-2014-03938 - 财政年份:2021
- 资助金额:
$ 4.44万 - 项目类别:
Discovery Grants Program - Individual
Assessment and Verification Tools for Ocean-based Carbon Dioxide Removal (CDR)
海洋二氧化碳去除 (CDR) 的评估和验证工具
- 批准号:
570525-2021 - 财政年份:2021
- 资助金额:
$ 4.44万 - 项目类别:
Alliance Grants
Marine environmental prediction through improved biogeochemical models
通过改进的生物地球化学模型进行海洋环境预测
- 批准号:
RGPIN-2014-03938 - 财政年份:2020
- 资助金额:
$ 4.44万 - 项目类别:
Discovery Grants Program - Individual
Marine environmental prediction through improved biogeochemical models
通过改进的生物地球化学模型进行海洋环境预测
- 批准号:
RGPIN-2014-03938 - 财政年份:2017
- 资助金额:
$ 4.44万 - 项目类别:
Discovery Grants Program - Individual
Marine environmental prediction through improved biogeochemical models
通过改进的生物地球化学模型进行海洋环境预测
- 批准号:
RGPIN-2014-03938 - 财政年份:2016
- 资助金额:
$ 4.44万 - 项目类别:
Discovery Grants Program - Individual
Canada Research Chair in Marine Prediction
加拿大海洋预测研究主席
- 批准号:
1000221245-2010 - 财政年份:2016
- 资助金额:
$ 4.44万 - 项目类别:
Canada Research Chairs
Canada Research Chair in Marine Prediction
加拿大海洋预测研究主席
- 批准号:
1221245-2010 - 财政年份:2015
- 资助金额:
$ 4.44万 - 项目类别:
Canada Research Chairs
Marine environmental prediction through improved biogeochemical models
通过改进的生物地球化学模型进行海洋环境预测
- 批准号:
RGPIN-2014-03938 - 财政年份:2015
- 资助金额:
$ 4.44万 - 项目类别:
Discovery Grants Program - Individual
Canada Research Chair in Marine Prediction
加拿大海洋预测研究主席
- 批准号:
1000221245-2010 - 财政年份:2014
- 资助金额:
$ 4.44万 - 项目类别:
Canada Research Chairs
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Marine environmental prediction through improved biogeochemical models
通过改进的生物地球化学模型进行海洋环境预测
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$ 4.44万 - 项目类别:
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