ct2 : assessing sources of uncertainty in ocean analysis and forecasts

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CT2 : Assessing sources of uncertainty in ocean analysis and forecasts We consider the structural sources of uncertainty generic to all practical forecasting system – CT4 (predictability) will deal specifically with parameter uncertainty and initial conditions using ensemble forecasts. WP 2.1 – Limitations of available observations and analysis systems in estimating the current state of the ocean. WP 2.2 – The lack of modelling of the melt-water input from the Greenland ice sheet WP 2.3 – Poor resolution of key small scale components of the THC and in particular their role in ocean freshwater redistribution modulating the THC Thor annual meeting 2009, Paris

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Page 1: CT2 :  Assessing sources of uncertainty in  ocean analysis and forecasts

CT2 : Assessing sources of uncertainty in

ocean analysis and forecasts

We consider the structural sources of uncertainty generic to all practical forecasting system

– CT4 (predictability) will deal specifically with parameter uncertainty and initial conditions using ensemble forecasts.

WP 2.1 – Limitations of available observations and analysis systems in estimating the currentstate of the ocean.

WP 2.2 – The lack of modelling of themelt-water input from the Greenland ice sheet

WP 2.3 – Poor resolution of key small scale components of the THC and in particular their role in ocean freshwater redistribution modulating the THC

Thor annual meeting 2009, Paris

Page 2: CT2 :  Assessing sources of uncertainty in  ocean analysis and forecasts

CT2: Status and plans

Thor annual meeting 2009, Paris

Approach

WP 2.1 Exploits a number of existing ocean analysis and hindcasts simulations: compare different independent state estimates (CT3)

-The ‘analysis’ are constrained by ocean observations but generally of coarse resolution. Unclear how well the THC is constrained.

-The ocean ‘simulations’ are run using surface fluxes only without assimilation of ocean observations. In addition, a set of focussed sensitivity experiments will be performed with the DePreSys analysis system complementing the data impact studies of WP 4.2

Time-series of state variables have been agreed upon. An initial evaluation against observations along the GSR mainly will be performed and reported by the end of the year (D05 months 12).

Page 3: CT2 :  Assessing sources of uncertainty in  ocean analysis and forecasts

Thor annual meeting 2009, Paris

The Faroe Bank Channel overflow

We can reproduce a number of features of the observed transport time-series from seasonality to inter-annual variability:

Identical seasonal amplitude and phasing

High correlation (de-seasoned)

Monthly r=0.7 (p<10-7)

Interannual r=0.9 (p<10-4)

Updated from Olsen et al. 2008

CT2: Status and plans

Page 4: CT2 :  Assessing sources of uncertainty in  ocean analysis and forecasts

Thor annual meeting 2009, Paris

Model uncertainty

Simple model inter-comparison document uncertainty on different scale and indicate a potential for identifying key processes of variability.

CT2: Status and plans

Page 5: CT2 :  Assessing sources of uncertainty in  ocean analysis and forecasts

CT2: Status and plans

Thor annual meeting 2009, Paris

WP 2.2 - 2.3

Our approach is to perform coordinated experiments and analysis.

Baseline experiments using HadCM3 and ECHAM5-MPIOM simulations with coupled atmosphere ocean ice-sheet climate projections:

Runs analysed for possible freshwater fluxes

A number of simulations will be carried out next year with 0.1 Sv freshwater perturbation along the coast of Greenland

Plans for 2010

CT2 Workshop in Hamburg early November - will be announced.

Page 6: CT2 :  Assessing sources of uncertainty in  ocean analysis and forecasts

Thor annual meeting 2009, Paris

Links with other CT’s

We need updated time-series of transports from CT3, now in particular across the GSR 1960-2005

- Monthly mean time-series- Volume - Heat- Salt- Core watermass characteristics (NISE+new data)

We deliver an assessment of the ocean state (CT4)

We supply a suite of model time-series of ocean state from ’analysis’ and ’simulations’ of various complexity.