WMO SDS-WAS Research and Development activities 8th meeting of the WWRP SSC (WMO Headquarters, Geneva, November 2015) S. Nickovic (SDS-WAS NAMEE, Serbia) E. Terradellas SDS-WAS NAMEE (AEMET, Spain) 8th meeting of the WWRP SSC (WMO Headquarters, Geneva, November 2015) 2 SDS-WAS Mission To enhance the ability of countries to deliver timely and quality sand and dust storm forecasts, observations, information and knowledge to users through an international partnership in research and operations 3 Outreach/publications test footer 4 Major SDS-WAS Regional activities/meetings NAMEE Centre September 2015, Sofia: participation in a meeting of the Joint WWRP/WGNE Working Group (WG) on Forecast Verification Research held in. October, 2015, Ankara: participation in the side event The edge of crisis: Sand and dust storms during the 12th Conference of the Parties of the United Nations Convention to Control Desertification (UNCCD). WMO and UNEP to assess the extent and impacts of SDS globally. November 2015 Amman: Organization of WMO/WHO/UNEP/EUMETSAT/AEMET 1st Africa / Middle East Expert Meeting and Workshop on the Health Impact of Airborne Dust PANAMCentre Installing the Pan-America Center for the SDS-WAS within the Caribbean Institute for Meteorology and Hydrology (CIMH) in Barbados WWRP IP Transition to operational activities Regional Specialized Meteorological Center with activity specialization on Atmospheric Sand and Dust Forecast (RSMC-ASDF) (Barcelona Dust Forecast Center) enables daily dust forecasts; Operational from 2014 The Asian region plans a center of the same kind 6 WWRP IP: to work with WCRP towards scientific studying on the impact of climate change on high impact weather events SDS-WAS dust reanalysis project: dust reanalysis using the BSC dust model (horizontal 0.5x0.5deg; 40 vertical layers) Burkina Faso, Mali, Niger, Chad: average surface dust C, average surface dust C, MAM, 7 WWRP IP:...to develop coupled modeling for applications SDS-WAS plans To develop coupled models with integrated dust-atmosphere -direct and - indirect (clouds) feedback mechanisms at regional and regional scale WGs: WCRP, S2S, Mesoscale, MACC CMA dust-radiation feedback OBS CTRLRAD DIRECT FEEDBACKS MACC dust-radiation feedback T difference (Remy et al, 2014 ACP) DeMott et al., 2003 Cziczo et al, 2013, Science Dust: the best agent for cold cloud generation 2/3 of ice clouds formed due to pure dust and dust metallic oxides Small # of dust particles needed to triger the process Heterogeneous freezing dominant Ice formation Koop and Mahowald, Nature, 2013 WWRP IP:...to develop coupled modeling for applications CLOUD-DUST FEEDBACKS 9 WWRP IP:...to develop coupled modeling for applicationsCLOUD-DUST FEEDBACKS #IN parameterization in dust models Niemand et al, 2012: COSMO #IN simulation Nickovic et al, 2015: DREAM #IN simulation MSG IWP MODIS IWP DREAM IWP DREAM vs. Potenza Radar cloud ice Hande et al, 2015 COSMO #IN climatology Serbian HMS will launch in Dec 2015 experimental daily predictions of #IN due to dust using DREAM model Tehran 10 WWRP IP: To predict high impact weather on wider time ranges, WWRP to coordinate with WCRP, GFCS, relevant commissions, the regional associations, NMHSs, WMO Programmes. Emphasis: Development of seamless prediction strategy SDS-WAS plans Dust modelling - predicting the process in a seamless manner - from very short-term (day or shorter) to medium and climate 2yr plan model resolutions