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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)
4
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
USA
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
0
0.2
0.4
0.6
0.8
1
0 5 10 15 20 25 30 35 40 45
Latitude [°N]
Aer
oso
l op
tica
l dep
thMeteosat
NUDGE
CLIM
Atlantic MAM spring
0
0.2
0.4
0.6
0.8
1
0 5 10 15 20 25 30 35 40 45
Latitude [°N]
Aer
oso
l op
tica
l dep
th
Meteosat
NUDGE
CLIM
Atlantic JJA summer
0
0.2
0.4
0.6
0.8
1
0 5 10 15 20 25 30 35 40 45
Latitude [°N]
Aer
oso
l op
tica
l dep
th
Meteosat
NUDGE
CLIM
Atlantic SON autumn
0
0.2
0.4
0.6
0.8
1
0 5 10 15 20 25 30 35 40 45
Latitude [°N]
Aer
oso
l op
tica
l dep
th
Meteosat
NUDGE
CLIM
Performance of ECHAM nudged and climatological modelIn Atlantic against Meteosat, Timmreck&Schulz, JGR 2014
Normalized Aerosol Extinction Koffi
et a
l; su
bmitt
ed to
JGR
2011
winter
summer
NORTH AFRICA
CENTRAL ATLANTIC
CA
LIO
P
vs
MO
DE
LS
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
!
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)
