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Coupled Model Data Assimilation: Building an idealised coupled system Polly Smith, Amos Lawless, Alison Fowler* School of Mathematical and Physical Sciences, University of Reading, UK * funded by NERC

Coupled Model Data Assimilation:

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Coupled Model Data Assimilation:. Building an idealised coupled system Polly Smith, Amos Lawless, Alison Fowler* School of Mathematical and Physical Sciences, University of Reading, UK * funded by NERC. Outline. Objectives Tasks & progress I ssues Next steps/ targets for next 6 months. - PowerPoint PPT Presentation

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Page 1: Coupled Model Data Assimilation:

Coupled Model Data Assimilation:

Building an idealised coupled system

Polly Smith, Amos Lawless, Alison Fowler*

School of Mathematical and Physical Sciences, University of Reading, UK

* funded by NERC

Page 2: Coupled Model Data Assimilation:

Outline

• Objectives

• Tasks & progress

• Issues

• Next steps/ targets for next 6 months

Page 3: Coupled Model Data Assimilation:

Objective

To use an idealised system to gain a greater theoretical understanding of the coupled atmosphere-ocean data assimilation problem:

• explore different approaches to coupled 4D-Var data assimilation using a single-column, coupled atmosphere-ocean model

• help guide the design/ implementation of coupled DA methods within full 3D operational scale systems

• strong-constraint incremental 4D-Var

Page 4: Coupled Model Data Assimilation:

Building the idealised systemTask 1: develop an idealised, single-column, coupled atmosphere-ocean model with a strong-constraint incremental 4D-Var assimilation scheme.

For this we need a model that

• is simple and quick to run• is able to represent realistic atmosphere-ocean coupling

Atmosphere:• ECMWF single column model (SCM)

Ocean:• single column KPP (K-Profile Parameterisation) mixed-layer

ocean model

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SCM:

• based on the IFS code• includes a full set of physical parameterisations • we will use a stripped down version

- adiabatic component (+ vertical diffusion?) • also want option to use full physics in later experiments

KPP model:

• developed at UoR• already within the SCM code but never been used• currently only works when full SCM physics scheme is

switched on

coupling through surface fluxes and SST

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Progress so far· Successfully compiled and ran the SCM test-case provided by

ECMWF.

· Simplified the SCM code to remove physical parameterisations.

· Tested the simplified atmospheric model using real data.

· Coupled the KPP ocean code to the full-physics SCM and successfully ran a test case for the coupled atmosphere-ocean model.

· Produced draft documentation for the models.

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Issues• Lack of documentation

• Choice of suitable test-case(s), creation of input file

• Prescription of model forcing

ocean: surface fluxes of heat, moisture & momentum, compute using bulk formulae of Large & Yeager

atmosphere: vertical velocity, geostrophic u & v winds, horizontal advection tendencies.

• Relaxation

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SCM test-case: with (top) & without physics (bottom)

temperature humidity u-wind v-wind

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Relaxation of winds: u-windwith relaxation without relaxation

Page 10: Coupled Model Data Assimilation:

Issues• Lack of documentation

• Choice of suitable test-case(s), creation of input file

• Prescription of model forcing

ocean: surface fluxes of heat, moisture & momentum, compute using bulk formulae of Large & Yeager

atmosphere: vertical velocity, geostrophic u & v winds, horizontal advection tendencies.

• Relaxation

Page 11: Coupled Model Data Assimilation:

ERA interim data: temperatureactual

SCM without forcing

SCM with forcing

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ERA interim data: humidityactual (log)

SCM without forcing

SCM with forcing

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ERA interim data: u-windactual

SCM without forcing

SCM with forcing

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ERA interim data: v-windactual

SCM without forcing

SCM with forcing

Page 15: Coupled Model Data Assimilation:

Coupled model: full physics

Page 16: Coupled Model Data Assimilation:

Coupled model: full physics

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Coupled model: radiation, cloud & convection off

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Coupled model: radiation, cloud & convection off

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Next steps• Initial results with simple coupled atmosphere-ocean model

expected by end of January 2013.

• Development of prototype 4D-Var system - tangent linear and adjoint modelspreliminary results by April/May 2013.

• Exploration of different coupling strategies being implemented in the ECMWF system - identical twin experiments