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The WMO/GAW Integrated Global Aerosol Observing and Analysis System

The WMO/GAW Integrated Global Aerosol Observing and Analysis System. John A. Ogren Earth System Research Laboratory National Oceanic and Atmospheric Administration Boulder, CO, USA (with a lot of help from Len Barrie and Urs Baltensperger). OBJECTIVE.

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The WMO/GAW Integrated Global Aerosol Observing and Analysis System

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  1. The WMO/GAW Integrated Global Aerosol Observing and Analysis System John A. Ogren Earth System Research Laboratory National Oceanic and Atmospheric Administration Boulder, CO, USA (with a lot of help from Len Barrie and Urs Baltensperger)

  2. OBJECTIVE Improve climate and air quality assessments and predictions

  3. Approach: GAW Strategic Plan • Develop a three-dimensional global atmospheric chemistry measurement network • Develop coherent data processing chains • Implement near-real-time delivery of a few measured parameters • Assimilate data into models • http://www.wmo.int/pages/prog/arep/gaw/documents/gaw172-26sept07.pdf

  4. Components of Integrated System • In-situ observations • Surface sites, ships, aircraft, balloons • Remote sensing observations • Ground-based and satellite • Active and passive • Models • Weather forecasting • Climate forcing predictions • Air quality • Synthesis Products

  5. Model Calculation of Aerosol Optical Depth

  6. Model Assimilation of Satellite Observations

  7. Integrated Approach to Evaluationof Aerosol Radiative Forcing

  8. IGACO-Aerosols Global Products GAW Calibration & Quality Assurance (GAWNET PFRs) World Integrated Data Network: e.g. WDC-Ispra Sat. Centres (WDC-RSAT) AERONET, etc Reanalysis WMO Real-Time Data Distribution: WMO Information System (WIS) Observations: All Sources Satellite: MODIS, CALYPSO, GEOs • Data Uses/Applications • Public Air Quality Warnings • Public SDS Warnings • Public Aerosol Bulletins • Surface and air transport • Scientific Assessments (IPCC, • Ozone, etc) • 6. Improved Weather Forecasts Assimilation of Real-Time Data By Forecast Models (e.g. GEMS; WMO SDS-WAS) Aircraft: MOZAIC/IAGOS Surface-based: Remote sensing In situ: PM & optical In situ: Chemistry Leaders: WMO/GAW & Satellite Orgs & ENV Orgs http://www.wmo.ch/pages/prog/arep/gaw/documents/gaw159.pdf

  9. GAW Aerosol Network Status • Many undersampled regions • Many sampling sites not in GAW network database • Contributing partners needed! • Optical depth • Lidar • In-situ • http://www.wmo.int/gaw/gawsis/

  10. GAWSIS Database is Incomplete USA IMPROVE net • Users will miss a lot if they only use GAWSIS • Users today need to know who to ask to get more complete information on available data China Atmos. Watch Network Source: Zhang Xiao-Ye

  11. GAW Aerosol Networks • Aerosol optical depth • wait for Stefan Kinne's talk • Vertical profiles • GALION (this workshop) • In-situ • coming next...

  12. GAW In-situ Aerosol Network • Core, continuous measurements • Mass concentration in two size fractions • Major chemical components in two size fractions • Light absorption coefficient • Light scattering coefficient at various wavelengths • Other recommended measurements • Hemispheric backscattering coefficient at various wavelengths • Aerosol number concentration • Cloud condensation nuclei at 0.5% supersaturation • Aerosol size distribution • Detailed size fractionated chemical composition • Dependence on relative humidity • CCN spectra (various supersaturations) • http://www.wmo.ch/pages/prog/arep/gaw/documents/gaw153.pdf

  13. NOAA-federated Long-term Aerosol Network ALT BRW SUM TIK BRM WHI EGB KPO SPL WLG AMY THD BND SGP CSJ LUL MLO SMO LegendNOAA affiliate future sites CPT SPO http://www.esrl.noaa.gov/gmd/aero/

  14. Extinction (Mm-1) Single scattering albedo Variations in Aerosol Amount and Type 1 Mm-1 =1 mm2 m-3,extinction cross-section per cubic meter of air log scale! AMOUNT Percentiles957550255 TYPE A rich data set for evaluating chemical transport models

  15. US-GCOS Funds Placed in Trust to WMO GAW Used to Upgrade Aerosol Optical Measurements at Cape Point and Mt. Waliguan.

  16. Installation at Mt. Waliguan, China

  17. Forecast 18 UTC, 7 May 2002 30-hr forecast CALIPSO Aerosol Lidar GAW/AERONET Aerosol Remote Sensing Stations Integrated Products: Observations + Models NASA A-Train

  18. Operational Research Dust Forecasting Centers

  19. Forecast of AOD with Data Assimilation • Global and regional Earth-system (Atmosphere) Monitoring using Satellite and in-situ data (GEMS) • MODIS AOD product assimilated with global CTM • http://gems.ecmwf.int/d/products/aer/realtime/optical_depth_da/

  20. Challenges for Networks • Increased coordination within each type of network • measured parameters • sampling protocols, QA/QC, data processing • find partners in undersampled regions • Provide information on measurements to a common database • e.g., GAWSIS • need to keep information up-to-date • Provide data in a common format to users • not necessary to have a common data center

  21. Challenges for Integration • Enhanced interaction of the data generation and assimilation/modelling communities • Coordination among different types of measurements • Development of re-analysis products for combining different types of measurements • surface-based in-situ • surface-based remote sensing • satellite-based remote sensing • radiation budget

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