the concordiasi workshop, toulouse, 29-31 march 2010 impact study of amsu-a/b data over land and...

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The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data Impact study of AMSU-A/B data over land and sea-ice in the over land and sea-ice in the Météo-France global assimilation Météo-France global assimilation system system Fatima Karbou and Florence Rabier Fatima Karbou and Florence Rabier CNRM-GAME, Météo-France & CNRS CNRM-GAME, Météo-France & CNRS

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Page 1: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

Impact study of AMSU-A/B data over Impact study of AMSU-A/B data over land and sea-ice in the Météo-France land and sea-ice in the Météo-France

global assimilation systemglobal assimilation system

Fatima Karbou and Florence Rabier Fatima Karbou and Florence Rabier

CNRM-GAME, Météo-France & CNRSCNRM-GAME, Météo-France & CNRS

Page 2: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

Assimilation of AMSU-A & AMSU-B over Assimilation of AMSU-A & AMSU-B over landland

Since July 2008, a “dynamical retrieval method” is used in ARPEGE to estimate the land surface emissivity at microwave frequencies (Karbou et al. 2006):• Instantaneous emissivity retrieval at one surface surface channel (89 GHz for AMSU-B and 50 GHz for AMSU-A)• The emissivity is then given to sounding channels (with no frequency dependency)

Top of Atmosphere

Energy source

Surface (emissivity, temperature)

(1) Upwelling radiation(2) Dow

nwelling radiation

(3)

Surf

ace

em

issi

on

Signal attenuated by the atmosphere

),(),(.)).,(1(.).,(),( TTpTsppT

Plane parallel non scattering atmosphere, specular Plane parallel non scattering atmosphere, specular surfacesurface

)),((

),(),(),(),(

TTs

TTpTp

Page 3: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

Indirect measurements of temperature and humidity

AMSU-A & AMSU-B observationsAMSU-A & AMSU-B observations

Page 4: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

More humidity in EXP

TCWV (EXP-REF)

Correlations with GPS

Evaluation wrt GPS data from AMMA

Assimilation of AMSU-B (low peaking humidity channels) over Assimilation of AMSU-B (low peaking humidity channels) over land land

Page 5: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

More humidity in EXP

TCWV (EXP-REF)

Diurnal cycle of TCWV, Timbuktu (MALI)

Assimilation of AMSU-B over land operational in April 2010

Page 6: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

Current usage of AMSU-B channel 5 (183.31 7.0 GHz) in ARPEGE, dec 2008

One of the limitations: large uncertainties about the surface description (emissivity and surface temperature) over snow and sea-ice

AMSU-A & AMSU-B observationsAMSU-A & AMSU-B observations over sea-ice

Page 7: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

Assimilation of observations over sea-ice Assimilation of observations over sea-ice

July 2009January 2009

Difficult modelling of sea-ice emissivity

OPER Emis=0.99

Emissivity at 89 GHz

Page 8: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

(a) For AMSU-B in particular, can we still use the 89 GHz emissivities for sounding channels without any frequency dependence parameterization ?

(b) Can we safely use the specular assumption over sea ice ?January 2009

July 2009

Assimilation of AMSU-A & AMSU-B over Assimilation of AMSU-A & AMSU-B over sea-icesea-ice

Page 9: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

(a) For AMSU-B in particular, can we still use the 89 GHz emissivities for sounding channels without any frequency dependence parameterization ?

(b) Can we safely use the specular assumption over sea ice ?

Introduction of frequency parameterization for sea ice: to describe the emissivity change from 89 GHz to 183.31 GHz

(AMSU-B)(AMSU-B) Emissivity (~183 GHz) = Emissivity at 89 GHz + f (Tb 89, Tb150, Emissivity (~183 GHz) = Emissivity at 89 GHz + f (Tb 89, Tb150, Ts)Ts)

(AMSU-A)(AMSU-A) Emissivity (~52-60 GHz) = Emissivity at 50 GHz Emissivity (~52-60 GHz) = Emissivity at 50 GHz

Data impact studies for evaluation:

• Period: 15/12/2009 to 04/02/2010• CTL: the operational system• EXP: CTL + emissivity model over sea ice + assimilation of

AMSU-A/-B over sea ice

Assimilation of AMSU-A & AMSU-B over Assimilation of AMSU-A & AMSU-B over sea-icesea-ice

Page 10: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

Data impact resultsData impact results

Usage of AMSU-B channel 5 (183.31 7.0 GHz) in ARPEGE

CTL EXP

Page 11: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

Usage of AMSU-B channel 5 (183.31 7.0 GHz) in ARPEGE

CTL EXP

Snow (effect of specular approximation ?, Harlow, 2009, Guedj et al. 2010)

Data impact resultsData impact results

Page 12: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

Assimilation of observations over sea-iceAssimilation of observations over sea-ice Operational in Nov Operational in Nov 20102010

Wind scores wrt radiosondes (January 2009)Wind scores wrt radiosondes (January 2009)

Page 13: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

Assimilation of observations over sea-ice Assimilation of observations over sea-ice

ScoresScores: Plutôt positifs en particulier sur l’Hémisphère : Plutôt positifs en particulier sur l’Hémisphère NordNord

Page 14: The CONCORDIASI Workshop, Toulouse, 29-31 March 2010 Impact study of AMSU-A/B data over land and sea-ice in the Météo-France global assimilation system

The CONCORDIASI Workshop, Toulouse, 29-31 March 2010

SummarySummary

Objective: extend the use of AMSU observations over sea ice

Method to calculate the sea ice emissivity to be used to assimilate humidity and temperature observations

Beneficial for ARPEGE: data usage, RTTOV performances, Fit to all available observations, quality of analyses/forecasts

Issues: the use of AMSU data over snow surfaces