MESoscale Ocean eddies and Climate Predictions (MESO-CLIP)
MESoscale Ocean eddies and Climate Predictions (MESO-CLIP)
批准号:
NE/K005154/1
负责人:
Florian Sévellec
金额:
$20.05万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --
中文摘要
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英文摘要
Mesoscale ocean eddies (MOEs) are swirls of water (typically a few hundred km in diameter) that are ubiquitous in the World Ocean. MOEs are the oceanic equivalent of weather systems in the atmosphere. In analogy to weather systems MOEs cannot be predicted a long time in advance. In computer models of the ocean MOEs can only develop if the spatial scale that the model can resolve is small enough. Typically a model needs to be able to resolve scales of about 30km (at mid-latitudes) to start generating MOEs. An ocean model is then said to be eddy-permitting. For a good representation of MOEs the resolved spatial scales need to be at least 10 km. Ocean models with that resolution are often referred to as eddy-resolving. Until recently, the grid resolution in climate models used for climate prediction was too coarse (100 km and more) for MOEs to be simulated. This is now changing and the latest generation of climate models under development use ocean components that are eddy-permitting (and soon eddy-resolving). When and where MOEs occur in high resolution models depends on initial conditions (the temperature, salinity and velocities at the beginning of the model simulation). Even small changes in initial conditions will eventually lead to different MOE fields. This is analogous to weather patterns typically adopting different patterns in a matter of days when the initial conditions are perturbed at the beginning of a forecast. How MOEs feed back on climate variability and predictability is still largely unknown. However, some recent studies suggest that MOEs could affect ocean and atmosphere variability on interannual to decadal timescales. Cutting edge climate models currently under development use eddy-permitting (e.g. HadGEM3-H in the UK) and eddy-resolving (e.g. CM2.6 in the US) oceans and therefore there is a need to get a better understanding of how MOEs affect forecasts based on such models. The main goal of MESO-CLIP will be to determine how initial conditions (temperatures, salinities, velocities) have to be perturbed in eddy-permitting/resolving ocean models to assess the uncertainty in forecasts. We will use a hierarchy of numerical models: (i) an uncoupled global ocean model run at horizontal grid resolutions of 1/4degree (25km at Equator) and 1/12degree (9 km at Equator), (ii) the latest coupled ocean-atmosphere model currently under development at the UK MetOffice (HadGEM3-H) which uses a 1/4degree ocean component, and (iii) an eddy-resolving (1/20degree) resolution idealised coupled ocean-atmosphere model. With this set of models we will be able to address how the presence of MOEs in the ocean affect the predictability and variability of ocean and atmosphere and how important coupled processes (interactions between the ocean and the atmosphere) are likely to be. MESO-CLIP will therefore provide valuable knowledge about forecast uncertainties in present and future high resolution coupled models that will be used for climate predictions.
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DOI:
10.1175/jpo-d-13-092.1
发表时间:
2013-12
期刊:
Journal of Physical Oceanography
影响因子:
3.5
作者:
[F. Sévellec;J. Hirschi;A. Blaker]
通讯作者:
F. Sévellec;J. Hirschi;A. Blaker
Geostrophic Closure of the Zonally Averaged Atlantic Meridional Overturning Circulation
纬向平均大西洋经向翻转环流的地转闭合
DOI:
10.1175/jpo-d-14-0148.1
发表时间:
2016
期刊:
Journal of Physical Oceanography
影响因子:
3.5
作者:
[Sévellec F]
通讯作者:
Sévellec F
Chaotic variability of the meridional overturning circulation on subannual to interannual timescales
经向翻转环流在年际到年际时间尺度上的混沌变化
DOI:
10.5194/os-9-805-2013
发表时间:
2013
期刊:
Ocean Science
影响因子:
3.2
作者:
[Hirschi J]
通讯作者:
Hirschi J
The impacts of oceanic deep temperature perturbations in the North Atlantic on decadal climate variability and predictability
北大西洋海洋深部温度扰动对年代际气候变化和可预测性的影响
DOI:
10.1007/s00382-017-4016-z
发表时间:
2017
期刊:
Climate Dynamics
影响因子:
4.6
作者:
[Germe A]
通讯作者:
Germe A
On the robustness of near term climate predictability regarding initial state uncertainties
关于初始状态不确定性的近期气候可预测性的鲁棒性
DOI:
10.1007/s00382-016-3078-7
发表时间:
2016
期刊:
Climate Dynamics
影响因子:
4.6
作者:
[Germe A]
通讯作者:
Germe A
共 10 条
国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
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批准号:--
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项目类别:--
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资助金额:160万元
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批准年份:2022
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负责人:李忠平
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依托单位: