Aerosol_cci ECV. Aerosol_cci > Thomas Holzer-Popp > ESA Living Planet Symposium, Bergen, 1 July 2010 slide 2 Major improvements over precursor AOD datasets.

Aerosol_cci ECV

Aerosol_cci > Thomas Holzer-Popp > ESA Living Planet Symposium, Bergen, 1 July 2010

slide 2

Major improvements over precursor AOD datasets

Regional scoring differences between both versions(scoring grows with increased spatial + temporal

correlations and decreased bias; based on daily data)

Precursor dataset2008 Aerosol Optical Depth maps

Aerosol_cci final dataset


slide 3

First ever high level AOD time series from AATSR

ENVISAT-AATSR (CCI)

Terra-MODIS (NASA)

equivalent evaluation

no significant global trend (agrees with other datasets)

(~150 stations)


slide 4

Stability: RMS


slide 5

Pixel level uncertainties


slide 6 12,4 % 21,1 % 0,5 % 66,0 %

Cloud mask consistencyAerosol_cci / Cloud_cci

5 selected days Sep 2008 – safety zone included by Aerosol_cci


slide 7

Science-driven system

Expertise for validationand intercomparison

Developmentpriorities

Expertise foralgorithms

Validation / QCIntercomparisonStandard tools

Satelliteinput

Ancilliarydata

ArchiveDisseminationDocumentation

Expertise forECV use

Algorithmdevelopment

The Aerosol_cci system

Operational ECV Production system

External sciencecommunities

Spaceagencies

instrumentteams

Science Team

ExternalECV users

Referencedata

AerosolECV productsLv2 and lv3

Expertise for validationand intercomparison

Developmentpriorities

Expertise foralgorithms

Validation / QCIntercomparisonStandard tools

Satelliteinput

Ancilliarydata

ArchiveDisseminationDocumentation

Expertise forECV use

Algorithmdevelopment

The Aerosol_cci system

Operational ECV Production system

External sciencecommunities

Spaceagencies

instrumentteams

Science Team

ExternalECV users

Referencedata

AerosolECV productsLv2 and lv3


slide 8

A test to assimilate Aerosol CCI products into the ECMWF IFS model was already conducted; 1 month

No assimR=0.623

AATSR assimOnlyR=0.741

Modis assimOnlyR=0.755

AATSR & MODIS assimBoth bias correctedR=0.769

MACC-II assimilation test


slide 9

Significant algorithm improvement towards GCOS requirements

Aerosol optical depth (AATSR; over ocean also: MERIS)AOD uncertainty improved from 0.18 (GlobAerosol) to 0.09

Stratospheric extinction (GOMOS)Extinction uncertainty improved from 25% (AERGOM) to 10-25%

Several pathfinder products demonstrated for phase 2

AATSR time series 7/2002 – 4/2012 consistent with AERONET

Improved product content and auxiliary information

Individual pixel-level uncertainties in products

Consistency with Cloud_cci

Model simulator for absorbing aerosol index

International Satellite Aerosol Science Network http://aero-sat.org initiated

Major improvements


slide 10

User assessmentphase 1 achievements

basic algorithm development (for AOD & Angstrom)review a-priori assumptions

aerosol type (help from global modeling)

surface albedo

cloud-screening

round robin among competing teams

long-term processing with best ATSR retrieval

supplementary products

stratospheric aerosol (minor contribution, less variable)aerosol absorbing index (only qualitative)


slide 11

ATSR vs MODIS

… ATSR has still catching up to MODIS

overallscore

biassub-score

spatialsub-score

temp.sub-score


slide 12

… but does not even get close to MODIS

overallscore

biassub-score

spatialsub-score

temp.sub-score

AOD > 0.2

ATSR vs MODIS


slide 13

major advancements in the first three years in improving ATSR aerosol retrievals of AOD

significant improvements were achieved in terms of bias, spatial correlation and temporal correlation … yielding in a better overall score

the most recent ATSR retrieval version has still to catch up to MODIS in most regions / high AOD

pixel uncertainty detail (CCI aerosol requirem.) is unique … but still needs refinement

aside from accuracy also spatial coverage matters ... with MERIS more competitive here.

total AOD is not enough

separate AOD in coarse and fine-mode contribution

quantitative info on absorption (AAOD) would be nice

produce long-term data records for all products

User assessment summary


slide 14

Phase 1 products

1985 1995 2005 2015

tropospheric -AOD (amount)-Angstrom (size) … with local errors

stratospheric-extinction/AOD-effective radius

- absorbing aerosol index (qualitative)

2008

ATSR-2 SU

3* MERIS

AATSR SU

GOMOS

OMI

3* ATSR

focus on the best ATSR product


slide 151985 1995 2005 2015

AODAngstromfine-mode AODaerosol „type“

stratospheric ext (AOD)

absorbing aerosol index (use in case study)

2008

ATSR-2 AATSR (3 algorithms)

TOMS / GOME / SCIAMACHY / GOME-2 / OMI

SCIAMACHY/AATSR

GOMOS

dust AOD IASI

more reference AOD(3 selected. regions) POLDER

Phase 2 plans


slide 16

Continued from P1

• Extend Climate Research group (stratosphere, aerosol cloud interaction; data assimialtion through CMUG; GoeMIP indirect)

• Valdiation tools and concepts (add assessing stability and aerosol type)

• Round robin exercises where appropriate (IASI, several options)

• Consistency analysis (extended, with other ECV projects)

• Uncertainties (harmonized, with metrologists, new WG)

• WGs: clouds (extend with international inter-comparison exercise, surface, components


slide 17

New in P2 • Long time series production

• Fill mission time series for all datasets• Add IASI• POLDER reference sites

• User case studies

• Sustainable but distributed system• System engineering working group• Common standards and tools (e.g. Versioning)• Obs4MIPS

• More• Sentinel perparation• Joint aerosol-cloud retrieval


slide 18

New in P2: case studies

AAI record for West-Africa (Tilstra et al., 2011). Red GOME-1, Brown

SCIAMACHY blue GOME-2A

EMAC moldel radiative forcing of stratospheric aerosol (Brühl et al., 2012/3

simulated regional aerosol direct radiative forcing (Kinne et al.,

2013)

Changes in liquid water path due to anthropogenic aerosol (ECHAM6-

HAM2; Lohmann, et al. 2010)


slide 19

Consistency analysis


slide 20

WP plan

Aerosol_cci ECV. Aerosol_cci > Thomas Holzer-Popp > ESA Living Planet Symposium, Bergen, 1 July 2010 slide 2 Major improvements over precursor AOD datasets.

Documents

cci thomas holzerpopp

planet symposium

aerosol cci products

cci cloud

cci ecvaerosol

score aerosol

cci final datasetaerosol

qualitative aerosol