1. Member of the Helmholtz-Association Collaboration with modelling community: Requirements, data use, products Martin Schultz

2. Member of the Helmholtz-Association Who are modellers? Scientific community: global and regional scale; CTM or chemistry climate; individual episodes or longer reanalyses; with/without data assimilation MOTIVATION: diverse, processes, climate change, arctic, … Regional AQ models with mandate: day-to-day business (analysis and forecasts); assessment of AQ; often without data assimilation; typical scale 50-1 km MOTIVATION: thresholds, doses, health, crops Global AQ analyses and forecasts (MACC etc.): day-to- day business (analysis and forecasts); reanalyses; assimilation usually of sat. data only; in MACC multi- species and multi-sensor assimilation MOTIVATION: global AQ, long-range transport, assessments

3. Member of the Helmholtz-Association MACC Key Points M onitoring A tmospheric C omposition and C limate 45-partner Collaborative Project Funded by European Union FP7 Coordination: Adrian Simmons (ECMWF) Ends October 2011; follow-on proposal (MACC-II) submitted Main service lines: ►Daily global analyses and forecasts of greenhouse gases, reactive gases and aerosol ►Daily ensemble forecasts of European-wide air quality ►Reanalysis (2003-2010) http://www.gmes-atmosphere.eu/ Data assimilation / NRT data

4. Member of the Helmholtz-Association InstrumentSatelliteProviderVersionSpeciesTypePeriodStatus GOMEERS-2RALO3Profiles20030101- 20030531 Active MIPASEnvisatESAO3Profiles20030127- 20040326 Active MLSAURANASAV02O3Profiles20040808 -Active OMIAURANASAV003O3Total column20041001 -Active SBUVNOAA-16NOAAV8O36 layer profiles20040101 -Active SBUVNOAA-17NOAAV8O36 layer profiles20030101 -Active SBUVNOAA-18NOAAV8O36 layer profiles20050604 -Active SCIAMACHYEnvisatKNMIO3Total column20030101 -Active MOPITTTERRANCARV4COTotal column20030101 -Active OMIAURAKNMICol. 3NO2Tropospheric column20041001 -Passive SCIAMACHYEnvisatKNMIV1.1NO2Tropospheric column20030101 -Active OMIAURANASAV003SO2Total column20040817 -Passive SCIAMACHYEnvisatBIRASO2Total column20040104 -Passive OMIAURANASAV003HCHOTotal column20040827 -Passive SCIAMACHYEnvisatBIRAV2HCHOTotal column20030101 -Passive MODISAQUANASAAODTotal column20030101 -Active MODISTERRANASAAODTotal column20030101 -Active SCIAMACHYENVISATSRONCH4Total column20030101 -Active TANSOGOSATJAXACH4Total column20090601 -Passive AIRSAQUANASACO2Radiances20030101 -Active IASIMETOPEUMETSATCO2Radiances20070101 -Active TANSOGOSATJAXACO2Total column20090601 -Passive Satellite data assimilated in MACC reanalysis

5. Member of the Helmholtz-Association Requirements Who are the users? Do you want to accomodate all users? Do users know what they want? Do they have to know? What happens if requ‘s cannot be met? Nevertheless: need to specify something!

6. Member of the Helmholtz-Association Variability and network design from CEOS Geo position paper, 3/2011

7. Member of the Helmholtz-Association Surface ozone background stations (WDCGG) Ian:- half of grid cells empty (2/3 in southern hemisphere) - install automated systems (buoys)?

8. Member of the Helmholtz-Association Surface ozone station network density EUROPE GLOBAL

9. Member of the Helmholtz-Association courtesy: V-H Peuch, Meteo-France

10. Member of the Helmholtz-Association Tropospheric ozone change from preindustrial to present % Gauss et al., 2006 (ACP) 4/10 models

11. Member of the Helmholtz-Association Model-model comparisons

12. Member of the Helmholtz-Association How sure are we about past trends in emissions? anthropogenic biomass burning CO NO x from Granier et al., 2011 (subm.) Recent issue: CO traffic emissions EU&NA underestimated?

13. Member of the Helmholtz-Association How well do we model tropospheric ozone? Stevenson et al. 2006 (ACCENT)

14. Member of the Helmholtz-Association Comparison of simulated PAN concentrations MODEL 1MODEL 2 MODEL 3MODEL 4 HTAP multi-model experiment, SR1, August 2001, p=980 hPa arbitrary location in Europe Looking beyond ozone and CO

15. Member of the Helmholtz-Association The „value“ of data for (global) modelling low valuehigh value individual station poor characterisation poor representativeness bad/unknown quality data slow and irregular data submission access restrictions complicated protocols varying data formats poor metadata (dense) station network good characterisation known representativeness/filters good and known data quality regular data submission in time free access standard data formats comprehensive standard metadata version tags

16. Member of the Helmholtz-Association courtesy: V-H Peuch, Meteo-France; L. Rouil, INERIS

17. Member of the Helmholtz-Association Data consistency and completeness (WDCGG vs. EMEP) EMEP WDCGG

18. Member of the Helmholtz-Association „NRT“ data from 8 GAW stations: - 2 EU - 4 Asia - 2 SHem ONLY 4 HAVE DATA FOR MARCH

19. Member of the Helmholtz-Association NRT data delivery: requirements and issues (see GAW report 189) 6 hours after obs 24 hours after obs 3 days after obs 1 month after obs 1 year after obs N years after obs suitable for NRT assimilation suitable for NRT validation suitable for delayed NRT validation suitable for reanalysis assimilation

20. Member of the Helmholtz-Association NRT data = preliminary data DQO can be relaxed (for example: 5 ppb for O 3 ) Comparison with forecast may shed light on measurement problems Preliminary data should be replaced with final data (as rapidly as possible) Preliminary data must not be used for assessments

21. Member of the Helmholtz-Association B etter fit to MOZAIC/IAGOS O 3 data in MACC reanalysis. Tropospheric bias is reduced by 25%. MACCGEMS Free tropospheric ozone

22. Member of the Helmholtz-Association The way forward Automated data distribution systems (WCS demo)WCS demo Better integration of regional networks into GAW (?) More NRT data delivery Standardisation of metadata Develop standardized filters Dataset version tagging (incl. calibration history)

23. Member of the Helmholtz-Association

24. NO 2 O3O3

25. Member of the Helmholtz-Association

26. courtesy: V-H Peuch, Meteo-France; L. Rouil, INERIS