MESoscale Ocean eddies and Climate Predictions (MESO-CLIP)

Lead Research Organisation: University of Southampton
Department Name: Sch of Ocean and Earth Science

Abstract

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.

Planned Impact

MESO-CLIP will assess the impact of increasing the resolution in the ocean component of climate models on the variability and predictability of the climate system.
This is crucial if we want to understand the uncertainty in forecasts produced by the latest high resolution coupled climate models.

Primarily the research in MESO-CLIP will benefit developers of high-resolution models in the UK (HadGEM3-H) and abroad (e.g. EC-Earth, GFDL CM2.5/CM2.6). Our collaboration with the UK MetOffice (Adrian Hines, project partner) will ensure that the knowledge acquired in MESO-CLIP gets transferred to HadGEM3-H, the UK's most advanced coupled climate model. This will contribute to the UK's position as a leader in the development and research involving cutting edge climate models. Our results will also be relevant to operational oceanography (e.g. MERCATOR, HYCOM, FOAM) where eddying models are widely used. MESO-CLIP will provide an estimate of the importance of knowing the details of the ocean mesocale eddy field in the initial conditions.

Further down the line the results in MESO-CLIP will be relevant in the assessment of the uncertainties in climate predictions from eddy-permitting/resolving models that will feed into future IPCC reports (beyond CMIP5). The results from MESO-CLIP may also be relevant for seasonal forecasts as mesoscale eddies affect the ocean variability on a wide range of timescales. This aspect could become relevant to the (re-)insurance industry. This sector increasingly uses information from coupled climate model in its CAT (catastrophe) models used to determine the optimal insurance pricing. NOC is an associated member of the Willis Research Network (WRN) and we will make sure that WRN scientists are invited
to the project workshops in MESO-CLIP.

Publications

10 25 50
 
Description We have developed an new method to assess the uncertainty linked to small scale oceanic error and their impact in future climatic scenario.
Exploitation Route We can share this method or data from computed with this method to relevant group in the UK or elsewhere looking at interannual to decadal climate prediction (e.g., UK Met Office)
Sectors Environment,Government, Democracy and Justice

 
Title LOP/NOP 
Description We have developed the maximization algorithm to compute both Linear Optimal Perturbation and their Nonlinear version (through iterative approach). 
Type Of Material Computer model/algorithm 
Provided To Others? No  
Impact This two methods are a huge step forward in testing the predictability of the ocean model NEMO since they represents the upper bound in the initial perturbation uncertainty. Especially the NOPs will be useful for the exploration of the impact of the initial condition in the high resolution NEMO1/4, where eddies leads to strongly nonlinear dynamics. 
 
Title NEMO / NEMOTAM1/4 
Description NEMO 1/4 is a high resolution (1/4 degree) ocean numerical model based on primitive equation. The TAM reflects Tangent and Adjoint Model. The tangent is the linearized version of the NEMO model. Both tangent and adjoint are used compute the slope of the fully non linear model and allows optimization computation 
Type Of Material Computer model/algorithm 
Provided To Others? Yes  
Impact We have developed a new configuration that is in line with the used of the tangent and adjoint model in a global configuration. This was crucial for the development of the Linear Optimal Perturbation in eddy permitting model. 
URL http://www.nemo-ocean.eu/