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AGENDA for RSG meeting June 4, 2014 1 . Welcoming. Introduction of participants

AGENDA for RSG meeting June 4, 2014 1 . Welcoming. Introduction of participants 2. Adoption of the agenda 3. Activities since the RSG meeting in Antalya 3.1. Summary (M. Schulz) 3.2. NA-ME-E node (E. Terradellas ) 3.3. Cooperation with other SDS-WAS nodes

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AGENDA for RSG meeting June 4, 2014 1 . Welcoming. Introduction of participants

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  1. AGENDA for RSG meeting June 4, 2014 1. Welcoming. Introduction of participants 2. Adoption of the agenda 3. Activities since the RSG meeting in Antalya 3.1. Summary (M. Schulz) 3.2. NA-ME-E node (E. Terradellas) 3.3. Cooperation with other SDS-WAS nodes 3.4. WMO Secretariat (A. Baklanov) 3.5. Contributions from RSG members and invitees 4. Discussion Science and Implementation Plan 5. Designation of a new RSG Chair 6. RSG membership  7. AOB

  2. SDS-WAS Status2014 Michael Schulz NorwegianMeteorological Institute, Oslo, Norway

  3. Impacts of Sand and Dust • Human Health (asthma, infections, meningitis in Africa, valley fever in the America’s) • Agriculture (negative & positive impacts) • Marine productivity (through Fe, PO4 input) • Aviation ( air disasters) • Ground Transportation • Industry (Solar industry, Semi-conductor, Tourism, etc)

  4. SDS-WAS Node Structure North Africa & Middle East & Europe Asian Node American Node

  5. Objectives of SDS-WAS • Link institutions involved in SDS research & operations • Develop access to SDS forecasts and observations • Support research leading to better dust modelling • Enhance operational SDS forecasts • Build capacity to utilize SDS products

  6. The Problem of dust modelling • Dust sources depend on local soil properties USA Lee et al., 2007 Geomorphology doi:10.1016/j.geomorph.2007.12.016

  7. The Problem of dust modelling • Dust rise & transport is driven by meteorology

  8. Wind and Dust flux frequency in Sahara source areas Timmreck C., M. Schulz (2004), Significantdustsimulationdifferencesin nudgedandclimatologicaloperationmodeofthe AGCM ECHAM, J. Geophys. Res., 109, D13202, doi:10.1029/2003JD004381.

  9. Performance of ECHAM nudged and climatological model In Atlantic against Meteosat, Timmreck&Schulz, JGR 2014

  10. The Problem of dust modelling • Long Range Transport is driven by meteorology & dust particle size distribution & wet removal winter NORTH AFRICA CENTRAL ATLANTIC summer CALIOP vs MODELS Koffi et al; submitted to JGR 2011 Normalized Aerosol Extinction

  11. MACC model performance against Aeronet NRT dataCorrelation 2011-2014North Africa - Europe – East Asia – North America 2011- 2014

  12. Aerosol composition evolution in MACC modelSO4 - Organics – BC – Seasalt- Dust Modelupdate !

  13. Correlation of analysis and 3 day forecastMACC against Aeronet NRT, 2011-2014

  14. Flow of information in SDS Development of products ?? retour ?? Joint research projects ?? retour ??

  15. Cooperation established MACC Monitoring Atmospheric Composition and Climate EU project ICAP International Cooperative for Aerosol Prediction AeroComAerosol Model Intercomparison Initiative MERIT Meningitis Environmental Risk Information Technologies GESAMPGroup of Experts on Scientific Aspects of Marine Environmental Protection (joint workshop in Malta March 2011, EST paper submitted) GAW Global Atmospheric Watch (GALION lidar network, SAG) ACTRIS European atmospheric research infrastructure ESA European Space Agency (cci project)

  16. SDS highlights • Multi-Model Ensemble available at enhanced BSC web portal for AOD and PM surface concentration, with evaluation • NRT data assembled from sun photometers, PM, MODIS, visibility, Meteosat USED for NRT verification • Assimilation improves dust fields (eg ECMWF) and becomes operational (cooperation with MACC project) • Dust forecast included in MERINGITIS forecast • Joint model evaluation research launched • Raw model data sharing and distribution • Multiple outreach and training activities • Cooperation with other bodies (GESAMP, AeroCom, ICAP, MACC, VGNE, ESA, GALION, EPA’s)

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