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 Status 2014 Michael Schulz Norwegian Meteorological Institute, Oslo, Norway

3. 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. 4 SDS-WAS Node Structure Asian Node North Africa & Middle East & Europe 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. 6 Lee et al., 2007 Geomorphology doi:10.1016/j.geomorph.2007.12.016 The Problem of dust modelling  Dust sources depend on local soil properties USA

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

8. Timmreck C., M. Schulz (2004), Significant dust simulation differences in nudged and climatological operation mode of the AGCM ECHAM, J. Geophys. Res., 109, D13202, doi:10.1029/2003JD004381. Wind and Dust flux frequency in Sahara source areas

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

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

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

12. Aerosol composition evolution in MACC model SO4 - Organics – BC – Seasalt - Dust ! ! Model update

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

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

15. Cooperation established MACC Monitoring Atmospheric Composition and Climate EU project ICAP International Cooperative for Aerosol Prediction AeroCom Aerosol Model Intercomparison Initiative MERIT Meningitis Environmental Risk Information Technologies GESAMP Group 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)