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WMO SDS-WAS programme Regional Center for Northern Africa , Middle East and Europe Activity Report 2012 Enric Terradellas (AEMET), eterradellasj@aemet.es José M. Baldasano (BSC-CNS), jose.baldasano@bsc.es Emilio Cuevas (AEMET), ecuevasa@aemet.es.
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WMO SDS-WAS programmeRegional Center forNorthernAfrica, Middle East and EuropeActivityReport 2012EnricTerradellas (AEMET), eterradellasj@aemet.esJosé M. Baldasano (BSC-CNS), jose.baldasano@bsc.esEmilio Cuevas (AEMET), ecuevasa@aemet.es 2013-1 meeting of the WMO SDS-WAS Regional Steering Group for Northern Africa, Middle East and Europe, 21 January 2013
Outline • Intercomparison and evaluation of dust prediction models • Web portal • Capacity building • Important meetings • Plans for 2013 WMO SDS-WAS programme Regional Center forNorthernAfrica, Middle East and Europe http://sds-was.aemet.es sdswas@aemet.es
The models • Joint visualization • Generation of multi-model products • Evaluation of dust AOD using AERONET data • Evaluation of surface concentration • Evaluation of vertical profiles
Themodels • VARIABLES: Dust surface concentration – Dust Optical Depth at 550 nm • LEAD TIME: 0 – 72 hours, every 3 hours • GEOGRAPHICAL DOMAIN: 25ºW – 60ºE, 0 – 65ºN
Jointvisualization. Dust AOD at 550 nm RUN: 21 Oct 2012 VALID: 21 Oct 2012 12:00 – 24 Oct 2012 00:00
Jointvisualization. Surfaceconcentration RUN: 21 Oct 2012 VALID: 21 Oct 2012 12:00 – 24 Oct 2012 00:00
Generation of multimodelproducts • Model outputs are bi-linearly interpolated to a common 0.5ºlon x 0.5ºlat grid mesh. Then, different multi-model products are generated: • CENTRALITY: median - mean • SPREAD: standard deviation – range of variation
nrtevaluationusing AERONET data SANTA_CRUZ_TENERIFE TAMANRASSET_INM
Evaluation scores using AERONET data • Bias Error • Root Mean Square Error • Correlation Coefficient • Fractional Gross Error • Monthly • Seasonal • Annual • Besidesdust, there might be other aerosol types. Therefore, negative BE could be expected.
Exploringthe use of visibilitytoevaluatedustsurfaceconcentration Koschmiederequation Tegen and Lacis (1996) Meteorologicalstations PM10 = 914.06 V-0.73 + 19.03 D’Almeida (1986) TSP = 1339.84 V-0.67 Ben Mohamed et al. (1992)
Available at http://sds-was.aemet.es/models SEEB, Oman NEJRAN, Saudi Arabia Terra/MODIS 17 Mar 2012 17:00 KUWAIT Int. Apt., Kuwait
http://sds-was.aemet.es sdswas@aemet.es
Archive • PM10/PM2.5 • Back-trajectories • EUMETSAT RGB-DUST images • UKMO MSG retrievals • Joint visualization of forecast Surf. Conc. • Joint visualization of forecast DOD 550 • Monthly comparison models / AERONET • Evaluation scores (monthly, seasonal, annual) • Multi-model products • Guidance for forecasters
19-23 Nov 2012: Cours sur l’utilisation des produits satellitaires aux applications agrometeorologiques, Niamey, Niger
26-28 Nov 2012: Workshop on Meteorology, Sand and Dust Storm (SDS), Combating Desertification and Erosion. Ankara, Turkey
9-15 Sep2012: WMO Fifteenth Session of the Commission for Basic Systems (CBS-15), Jakarta, Indonesia Sep 2012. The WMO CBS-15 meetingrecommendsthedesignation of the Center as Regional SpecializedMeteorological Center withSpecializationonAtmosphericSand and DustForecast(RSMC-ASDF). Jul 2013. Itisexpectedthatthe WMO Executive Council meetstherecommendation and the RSMC startsworking.
UNEP and WMO organized a special session on the scientific aspects of the Regional SDS Programme. Experts gave recommendations on the programmeimprovement. 20-22 Nov 2012: Regional ConferenceonDust and Dust Storm, Kuwait
Dissemination of numerical forecast products (Mar 2013) • Publication of an activity report (Jun 2013) • Start of activities in the Operational Center (Sep 2013) • Preparation of a scientific conference on dust to be held in Barcelona in spring 2014 (together with a face RSG meeting) • Participation in capacity building activities (Turkey, Oman) • Joint evaluation of the dust models: new approaches
WMO SDS-WAS programmeRegional Center forNorthernAfrica, Middle East and Europehttp://sds-was.aemet.essdswas@aemet.es Thanksforyourattention !!