1. Republic Hydrometeorological Service of Serbia GoranPejanovic

2. WMO RA VI-Europe RCC Network SEEVCCC : ● Climate Data Node ● Climate Monitoring Node ● Long Range Forecast Node Lead: KNMI/Netherlands (consortium member SEEVCCC/RHMS-Serbia) Lead: DWD/Germany (participate SEEVCCC/RHMS-Serbia) collecting data from the stations (monthly, 400-500 stations; main source for data KNMI- ECA&D, other climate bulletins NCDC) mean temperature and accumulated precipitation, temperature anomaly and precipitation percent of normal, all available monthly/three-monthly Lead: Météo-France & ROSHYDROMET (participate SEEVCCC/RHMS-Serbia) Once a month ensemble run of a regional long range forecast - 7 months ahead: dynamical downscaling ECMWF 41 ensemble with RCM-SEEVCCC South East European gridded model datasets for 1961-1990 (ready)

3. Long Range Forecast Node ●RCM-SEEVCCC LRF ( L ong R ange F orecast–Seasonal Forecast) model start: 16 th of each month forecast duration: 7 months (~215 days) model resolution: ~35km atmosphere ; ~20km ocean model domain: Euro - Mediterranean region extended toward Caspian Sea 41 ensemble members initial and boundary conditions: ECMWF, resolution:125km results prepared for South East European region Next step: adding into LRF: Dust component Mineral fractions (Fe, P) regional dynamical downscaling using fully coupled atmosphere-ocean Regional Climate Model

4. Operational dust forecast: DREAM ● DREAM8 : D ust R egional A tmospheric M odel with 8 categories for particle sizes DREAM8 – assimDREAM8 model runs: 12UTC start ; +72h forecast model resolution: 1/3 degrees (~35km) models: DREAM8 and DREAM8-assim (assimilation using ECMWF dust aerosol analysis based on MODIS) daily dissemination of DREAM8-assim products to the Spanish Centre for model intercomparison

5. Assimilation of satellite information on mineral dust ECMWF dust aerosol analysis assimilated in initial field.

6. Mineral composition of arid soils - data on mineral fraction for 9 most common minerals in arid regions - important impacts on: human health, ocean bio-productivity, cloud formation GMINER30: High-resolution global dataset on surface mineralogy in arid areas - minerals are sorted by size in clay and silt populations silt claysilt & clay feldsparillitecalcite gypsiumkaolinitehematite smectitequartz + phosphorus - dataset is global on 30 arc-seconds resolution (~ 1 km) - available to SDS-WAS community at: http://www.seevccc.rs/GMINER30/ http://www.seevccc.rs/GMINER30/

7. Atmospheric iron transport modeling - Development of DREAM-Iron model Example of mineral database application In accordance with the GESAMP WG38 Recommendation (March 2011) – a joint SDS-WAS and GESAMP activity

8. leading edge110mi

9. DUST SIMULATION – 6-km model 10m WIND MAGNITUDE W.A.Sprigg, S. Nickovic, G. Pejanovic, A. Vukovic NASA Applied Science support led to this high-resolution forecast & simulation capability Simulation of the Phoenix haboob With 3.7 km resolution NMME-Dream8 Phoenix

10. Models: DREAM (syntetic initial soil temperature and wetness) DREAMW (initialized soil temperature and wetness) Resolution: 1/6 degrees Forecast: 2 per day start at 00UTC for 72 hours start at 12UTC for 72 hours Initial field: +06h ECMWF global forecast dc: surface dust concentration and wind on lm dl: dust load and 700mb geopotential da: aerosol optical depth 500nm dd: cumulative dry dust deposition dw: cumulative wet dust deposition dp: 3h accumulated precipitation and MSL pressure d9: relative humidity and wind at 925mb d7: relative humidity and wind at 700mb d5: relative humidity and wind at 500mb Other international activities: Fennec Project: Dust Forecast

11. SEEVCCC Earth Climate Modeling System: NMMB Results obtained with NMMB in SEEVCCC: global forecast ECMWF ● SEEVCCC perform 10 days (global) forecast Future plans: ● testing model on regional and local scales ● coupling with ocean, aerosols, hydrology ● perform seasonal forecast ● climate projections ● …… NMMB