WMO SAND AND DUST STORM WARNING ADVISORY AND ASSESSMENT SYSTEM
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WMO SAND AND DUST STORM WARNING
ADVISORY AND ASSESSMENT SYSTEM
Current and planned activities of the
Regional Center SDSWAS for North Africa, Europe
and Middle East
AEMet - BSC
ESA/WMO Expert Consultation Meeting For Development of
Satellite Products Relevant to the WMO SDS-WAS
Barcelona, Spain, September 8-9 2009
WMO Sand and Dust Storm Warning and
Assessment System (SDS WAS)
• To enhance the ability of participating countries to
establish and improve systems for forecasting and warning
to suppress the impact of Sand and Dust Storm
by
• Establishing a coordinated global network of Sand and
Dust Storm forecasting centers delivering products useful
to a wide range of users in understanding and reducing
the impacts of SDS
North Africa, Middle East and Europe Asia
BSC-CNS
AEMET, Spain China Meteorological
Administration (CMA)
Xiao Ye Zhang
xiaoye@cams.cma.gov.cn
WMO REGIONAL CENTRES
SDS-WAS Regional Centre
Supports a node in a global network of SDS-WAS research and operational partners
implementing SDS-WAS objectives in a region. The members of this node are the host institution
of the SDS-WAS RC and regional partners engaged in research and operations of SDS-WAS. The
node itself is organized as a federated system.
Objectives
To provide a web-based portal for user access to regional research and forecast
activities and services
To provide neutral ground for operations, research and capacity building in the region
and to build partnerships
To support the identification and organization of activities through a regional steering
group (RSG) consisting of representatives of members of the regional node covering
research, operations and selected users. SDS-RC supports the activities of the node agreed
upon by the Regional Steering Group. The appointment and organization of the RSG
activities are assisted by the WMO Secretariat
To cooperate with existing operational service delivery mechanisms, recognizing that
warnings related to SDS-WAS are generally the responsibility of the National
Meteorological and Hydrological Services (NMHSs) and that SDS-WAS products provide
input to NMHSs.
To report to the SDS-WAS Steering Committee annually
REGIONAL NODE
REGIONAL CENTER
Partner 1 Value-
Value-added
products and services
Partner 2
Observations long-term
data archives Analysis
Partner 3
U S E R S
Capacity
Partner 4 CAL/VAL Building
Validation
QC/QA
Partner 5
Monitoring
Partner 6
near real-time
Modeling data
… Forecasting
Partner n
PROPOSED ACTIVITIES DEVELOPMENTS (2009-2013) Web page SDS WAS for North Africa, Middle East and Europe PHASE-1 (2009-2010) 1) Implementation of a “Distributed Federated Information and Delivery System”, through an Internet portal, of comprehensible and standardized products related to the dust phenomena in the region, including observations and forecasts from associated institutions.
Near real-time monitoring
PHASE-1 (2009-2010)
PHOTONS/AERONET/RIMA
- AOD
- Size distribution
SYNOP and METAR:
-Visibility
-Meteorology??
Surface Winds!!!
EARLINET
European lidar network
PM10 Network
In Southern Europe
Near real-time monitoring
PHASE-1 (2009-2010)
Seawifs MSG SEVIRI; 15’-frame movies
OMAERO AOD
OMI AI
Calipso
Modis
Modeling
Standardisation of the forecast visualization
Starting from simple url links keeping the current visualization standards of
each Partner…..
Forecasts
BSC-DREAM CHIMERE-dust MOCAGE-dust
....N Model
SKIRON NAAPS
Modeling
…. Standardization of forecast visualization
Forecasts
BSC-DREAM CHIMERE-dust
……N Model
Needs:
- Colours
SKIRON NAAPS
- Products
- Units to be displayed
- Domains?
- ….
Just an example with BSC-DREAM and CHIMERE-dust
We recognize that for success in the long term, it is important to establish a mix of
research and operational activities with a strong dialog and link to capacity building
Current capacities permit useful information to be provided to users
However, strong uncertainties in forecasts and quantitative observations
in and near sources
Experimental campaigns
SAMUM I BODEXPHASE-1 (2009-2010) Modeling
2) Implementation of a near real-time quantitative and qualitative common
verification system for all participating forecast models included in the web-site
Seawifs Qualitative
All other models
MSG SEVIRI RGB Dust product
.
qualitative verification with high temporal
.
resolution (15 min.) and spatial (5 km)
.
.PHASE-1 (2009-2010) Modeling
2) Implementation of a near real-time quantitative and qualitative common
verification system for all participating forecast models included in the web-site
OMAERO AOD Quantitative
OMI AI Semi-Quantitative
Other models: …
Other near real time satellite products:… - Pixel comparisons
- Skill scoresPHASE-1 (2009-2010) Model verification
2) Implementation of a near real-time quantitative and qualitative common
verification system for all participating forecast models included in the web-site
Other near real time data: AOD Photons
AOD Model 1
PHOTONS/AERONET/RIMA .
.
- AOD AOD Model N
- Size distribution
SYNOP and METAR:
-Visibility
-Meteorology??
Surface Winds!!!
Only few stations
PM10 Network
near real time.
In Southern Europe
No real time in
North AfricaSDSWAS: Regional and Global models with dust module Modeling List not exhaustive / complete / needs to be updated
REGIONAL NODE
REGIONAL CENTER
Partner 1 Value-
Value-added
products and services
Partner 2 long-term
Observations data archives, Analysis
experiments
Partner 3
U S E R S
Partner 4 CAL/VAL + Capacity
Validation Building
QA
Partner 5
Monitoring
Partner 6
near real-time
Modeling data
… Forecasting
Partner nData processing Fast and reliable real time or near real time data and imagery access; Historical data access; Data integration from multi-sensor, multi-satellite and modeling products; Analytical capabilities; Product dissemination that allows fast and reliable information delivery to users; Products targeting users at different levels;
PHASE-1 (2009-2010) Data processing 3) Prepare validation system of historical/archived data, multi-year simulations and tailored multi-model experiments Use AEROCOM system (IPSL) with regional http://nansen.ipsl.jussieu.fr/AEROCOM/aerocomhome.html dust models - Already includes an amazing amount of observations (including MODIS, POLDER, MISR, AVHHR, SEAWIFS, TOMS, AERONET, EARLINET and surface concentrations) - Needs to be adapted to specificities of regional scale dust models - Hourly, daily, monthly, yearly validations - Filter and introduce additional regional observations, including observations from dust experimental campaigns (BODEX, SAMUM,.....), visibility…. - What about meteorology???
PHASE-1 (2009-2010) Data processing 3) Agree and run first multi-year simulations with current modelling systems For those partners lacking of HPC facilities: HPC-Europa is a consortium of six leading High Performance Computing (HPC) infrastructures including the BSC-CNS and five centres of excellence. This consortium aims to provide advanced computational services in an integrated manner to the European research community working at the frontiers of science. Partners can apply for a visit through HPC-Europa and run their long term simulations.
PHASE-1 (2009-2010) Data dissemination
4) Data/information dissemination
SDS WAS RC web page within WMO domain:
• Near real time data archives and visual information
• Long term data base archive (value-added products)
www.eumetsat.int/Home/Main/What_We_Do/EUMETCast/
The WMO Information System (WIS)
It is an overarching approach and a single coordinated global infrastructure
for the collection, distribution, retrieval of, and access to data and
information of all WMO and related programmes.
www.wmo.ch/pages/prog/www/WIS-Web/home.html
WIS relationship to WMO Programmes
SDS WAS RCData dissemination
PHASE-1 (2009-2010)
EUMETCAST:
• Near real time data archives and visual information
Mikael Rattenborg (EUMETSAT Operations Director), proposed to
consider a possible contribution of EUMETSAT to the SDS WAS RC
data dissemination with the EUMETCAST system.
Coordination Group of Meteorological Satellites Plenary meeting,
hosted by EUMETSAT in Maspalomas, Gran Canaria, from 3-7
November 2008.
EUMETCast Dissemination
Atlantic Bird 3 C-band coverage for Europe, Africa, Middle
EUMETCast provides access to
East and North Atlantic
data and services provided by
several external data providers.Capacity building
SDS WAS Implementation Plan
5) Capacity building: Effective cooperation between partners in regions will be
established to exploit current routine forecast and observation capabilities, to strengthen
the SDS-WAS monitoring network and to develop a routine verification system.
Technology transfer with self-sustaining capability and long-term
partnership in mind.
i.e. In-situ PM stations and Cimel sunphotometers in Africa
i.e. Eumetcast stations
Consultation meetings with national users to develop effective and
realistic products and tools for their needs;
i.e. National Meteorological Services, ACMAD, WHO, for aviation
operations, meningitis epidemics….
Training courses on use of services that are available;
i.e. Model and satellite data interpretation and utilisation
Research workshops and provision of guidance and outreach material
i.e. 3rd International Workshop on Mineral Dust (Leipzig, September 2008)Capacity building
PHASE-1 (2009-2010)
Training courses for National Meterological Services of North Africa and
Middle East within WMO program
(i.e. through Spain’s trust funds):
First Course on SDS WAS in Africa:
• Remote ground-based and satellite techniques for dust monitoring
• Dust modeling forceasting: interpretation and use
Increase the observational capacity in North Africa:
• Tamanrasset GAW station (Cimel)
• Three new Cimel stations (Tunisia, Egypt and Morocco)Next challenges PHASE-2 (2011-2013) 1) Tailored experiments with dust models 2) Data assimilation (GEMS-ECMWF ?? ) 3) Ensemble forecasting? 4) Produce validated and tested “state-of-the-art” dust model climatologies for users 5) Observations/models data fusion ?? 4) Joint research… …. To be discussed
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