AGENDA for RSG meeting June 4, 2014 1. Welcoming. Introduction of participants 2. Adoption of the...

AGENDA for RSG meeting June 4, 2014

1. Welcoming. Introduction of participants2. Adoption of the agenda3. Activities since the RSG meeting in Antalya3.1. Summary (M. Schulz)3.2. NA-ME-E node (E. Terradellas)3.3. Cooperation with other SDS-WAS nodes3.4. WMO Secretariat (A. Baklanov)3.5. Contributions from RSG members and invitees4. Discussion Science and Implementation Plan5. Designation of a new RSG Chair6. RSG membership 7. AOB

SDS-WAS Status 2014

Michael Schulz

Norwegian Meteorological Institute, Oslo, Norway

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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)

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SDS-WAS Node Structure

Asian Node

North Africa & Middle East & Europe

American Node

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 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

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The Problem of dust modelling

Dust rise & transport is driven by meteorology

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

Atlantic DJF winter

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Latitude [°N]

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Atlantic MAM spring

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Atlantic JJA summer

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Atlantic SON autumn

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Latitude [°N]

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Performance of ECHAM nudged and climatological modelIn Atlantic against Meteosat, Timmreck&Schulz, JGR 2014

Normalized Aerosol Extinction Koffi

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The Problem of dust modelling Long Range Transport is driven by meteorology &

dust particle size distribution & wet removal

MACC model performance against Aeronet NRT dataCorrelation 2011-2014

North Africa - Europe – East Asia – North America

2011- 2014

Aerosol composition evolution in MACC modelSO4 - Organics – BC – Seasalt - Dust

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Modelupdate

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

Flow of information in SDS

retour ??

retour ??

Joint research projects ??

Developmentof products ??

Cooperation established

MACC Monitoring Atmospheric Composition and Climate EU project ICAP International Cooperative for Aerosol Prediction AeroCom Aerosol Model Intercomparison InitiativeMERIT 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 infrastructureESA European Space Agency (cci project)

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)