1.  Expectations 2004  Achievements  Summary + Outlook AT-2 Task Group 1 Progress 2004-2008 Thomas Wagner

2. Aims and Expectations formulated in 2004: Extension in the „Species Dimension“ Extension in the „Spatial Dimension“ (horizontal and vertical) Extension in the „Climate Dimension“ New Instruments

3. New instruments UV/vis: OMI (AURA), GOME-2 (METOP), CALIOP (CALIPSO), POLDER (PARASOL), AVHRR/3 (METOP), MAESTRO (SCISAT-1) IR: TES (AURA), IASI (METOP), HIRS/4 (METOP), ACE- FTS (SCISAT-1) Microwave: MLS (AURA), CPR (CLOUDSAT), MHS (METOP)

4. Extension in the „Species Dimension“ New products since 2004: -Glyoxal, IO, CH4, CO, CO2 (NIR), -C2H6, HNO3, C2H2, PAN, HNO4, HCN, N2O, CH3OH, -pm 2.5, scattering aerosol index, aerosols from IR -various new cloud products -surface products (e.g. vegetation, phytoplancton)

5. Infrared ‘species zoo’, e.g. from Stiller et al.: Global distribution of ozone, ozone precursors and nitrogen compounds at about 9 km altitude for October/November 2003. Besides enhancements in the Northern Hemisphere due to industrial pollution, an extended pollution plume can be identified in the Southern Hemisphere, tropics and subtropics with maximum volume mixing ratio levels over South America, South Africa, and the South Atlantic, but reaching around the globe.

6. a) Total column distributions (molecules cm -2 ) of NH 3, C 2 H 4 and CH 3 OH on August 25 th, 2007. NH3, C2H4, and CH3OH from IASI related to biomass burning (Coheur et al.):

7. Conversion into standardised products, e.g. pm 2.5 concentration (Di Nicolantinio et a.): Example of daily maps for September 8, 2004. (pm 2.5 concentration from MODIS/Aqua)

8. GOME tropospheric NO 2 VCD, Uni-Heidelberg 1998 Carsten Leue, 1998Tropospheric NO2 VCD

9. Steffen Beirle Tropospheric NO2 column density SCIAMACHY, 2003/04 NO2 VCD [10 15 molec/cm²]

10. Mainz Heidelberg Steffen Beirle Tropospheric NO2 VCD, SCIAMACHY NO2 VCD [10 15 molec/cm²] Our maps help to find cleaner working places

11. Left panel: Population density (source CIESIN, in million inhabitants http://sedac.ciesin.columbia.edu/gpw) over China and surroundings. All cities with more than 2 millions of inhabitants are indicated. Right panel: MOPITT CO mixing ratios at the surface level (obtained by averaging the MOPITT L2 measurements from March 2000 to June 2007). Adapted from Clerbaux et al. [2008a]. Fine spatial structures even for trace gas observations with limited sensitivity for lower troposphere (Clerbaux et al.):

12. Carbon monoxide (CO) vertical columns as retrieved from SCIAMACHY using WFM-DOAS version 0.6 [Buchwitz et al., 2007a]. Fine spatial structures even for trace gases with long lifetime and large uncertainties (Buchwitz et al.):

13. Extension in the „Climate Dimension“ Northern hemispheric SCIAMACHY CO 2 (thick red line and maps) obtained with WFM-DOAS version 1.0 [Buchwitz et al., 2007b] compared to NOAA ESRL CO 2 surface measurements at Mauna Loa (light red line) and Barrow, Ireland (blue line). CO2 seasonality and trend from SCIAMACHY (Buchwitz et al.):

14. Extension in the „Climate Dimension“ SCIAMACHY column averaged mixing ratios (xVMR) of methane gridded on 1 by 1 degree in 2004 using the modified Bxl-Reims database. Global CH4 distribution from SCIAMACHY (Frankenberg et al.):

15. Extension in the „Climate Dimension“ H2O Feedback from GOME (Wagner et al.): Change of the H2O VCD per Kelvin [10 21 molec/cm²]

16. Total column of CO observed by MOPITT and SCIAMACHY, and corresponding LMDz-INCA model simulations (using the corresponding instrumental characteristics for comparison), averaged for March, April and May 2005 over the model grid. Synergy between different instruments and modles (Clerbaux et al.):

17. Scatter plot of GOME-2 and SCIAMACHY tropospheric NO 2 columns for April 2007. Only those data are used, for which both instruments had a measurement on the same day. Comparions of tropospheric NO2 from SCIAMACHY and GOME-2 (Richter et al.): Consistency of data products

18. Validation of data products Brinksma et al., 2008

19. Validation of data products Schönhard et al., 2007

20. Comparison to satellite data over Shanghai (45 days in 2007) Dependence on cloud fraction Validation of data products Chen Dan et al., 2008

21. Comparison to satellite data over Shanghai Dependence on cloud top height (FRESCO) Validation of data products Chen Dan et al., 2008

22. Validation of data products Brinksma et al., 2008

23.  More instruments  More species  Better horizontal resolution  Improved vertical resolution (needs to be improved)  More synergy (needs to be improved)  More accurate products (needs to be improved)  More validation (needs to be extended)  More ‚scientific‘ applications (needs to be extended) Summary & Outlook