ecwmf vs aeronet mid-visible optical depth of aerosol > 1

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Max Planck Institute Hamburg, Germany S. Kinne AEROSOL model vs data ECWMF vs AERONET mid-visible optical depth of aerosol > 1 m diameter Max Planck Institute Hamburg, Germany

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Page 1: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

Max Planck InstituteHamburg, Germany

S. Kinne

AEROSOLmodel vs data

ECWMF vs AERONET

mid-visible optical depth ofaerosol > 1m diameter

Max Planck InstituteHamburg, Germany

Page 2: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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Overview

data-setsECMWF simulationsaerosol ‘quality’ data reference

questions comparisons

magnitude –matched ? temporal phase matched ? forcing efficiencies

first impressions outlook

Page 3: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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simulations ... and reference

ECMWF (2 averages each day 0-12, 12-24 UTC Jan-Jun 2003)

• seasalt and dust aerosol optical depth

aot (coarse size mode)

AERONET (robotic sun/sky-photometer ground network)

• aot,s – sun mode (based on direct attenuation)• ff,s - fraction of aot by particles < 1mm diameter

– estimate based on Angstrom spectral change

aot (coarse mode) = aot,s * (1 -ff,s)

• aot,i – sky mode (based on a all-data inversion)• ff,i - fraction of aot by particles < 1mm diameter

– estimate based on retrieved size distribution aot (coarse mode) = aot,i * (1 -ff,i)

Page 4: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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Questions

How good are the AERONET datareference? Is there consistency?

assuming AERONET data are reliable and lookingat time-series of temporal matches …

How good are initial ECMWF simulationsfor sea-salt and dust (>1um in size) aerosol ?

phase?absolute magnitude?

Can we identify events of high aerosolloads of coarse-mode for case studies?

Page 5: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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locations investigated

DUSTwestern AfricaMediterranean (2) far Eastcentral Asia

SEA-SALTPacific (2)

Page 6: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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DUST – western Africa

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 7: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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DUST – south Turkey

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 8: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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DUST – central Italy

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 9: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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Dust – far East

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 10: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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DUST – central Asia

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 11: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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Sea Salt, DUST - Pacific

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 12: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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Sea-salt – south Pacific

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 13: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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first impressions

dustmajor events simulated (“in phase”)peak values: too largebackground / off-source regions: too low

seasalt too low (…as in many other models)

interesting dust events: julian days 120-140 over Mediterranean

• seen at Italy, Turkey and Israel julian days 150-170 over the western Africa julian days 100-120 over Hawaii

Page 14: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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next

implement aerosol data into AeroComnetcdf (or ascii, if small), what tem. resolution ?

ground data (quality)AERONET (all data, daily, monthly) …next month

• data at anon. ftp: ftp.zmaw.de/aerocom/grd_aeronet601

your data ? (contact me for coordination: [email protected])

satellite data (pattern)satellite composite (monthly averages)best regional satellite product on a daily basis

other data in-situ, lidar….

Page 15: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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next

SCORINGadd and implement scoring scenes (new ideas?)

establish local, seasonal scores• average normalized deviation, (rank-) correlation

combine score regionally, globally, annually• weighting (site quality, orography, sparseness)

EMISSIONSupdate AEROCOM with GFED-2, daily cycle?data for 2003 (dust and sea-salt (LSCE?))growth factors / year? for other species ? include future scenarios in emission

Page 16: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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example … on ‘scoring’

sample model-data to match local measurements determine each site’s normalized average deviation

DEV = sum (|MODEL-DATA|) / sum (DATA)– (.10 to .60 for first coarse-mode simulations)

assign site specific weights (and combine) regional coverage (e.g. only site in a region) site quality (e.g. instrument issues…) site region representation (e.g. orography, pollution)

one score ! (repeat with diff. temp resolution or time-offsets)

SCORES are needed to quantify theoverall model performance with 1 value

Page 17: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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extra slides

Page 18: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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DUST – south Turkey

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 19: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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DUST – south Italy

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 20: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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DUST – mid East

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 21: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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DUST – mid East

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF

Page 22: ECWMF vs AERONET mid-visible optical depth of aerosol > 1

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high altitude - Pacific

AERONET sun-mode… matching ECMWFAERONET sky-mode… matching ECMWF