WMO SDS-WAS programme Regional Center for Northern Africa, Middle East and Europe Activity Report 2012 Enric Terradellas (AEMET),

Slides:

Advertisements

Similar presentations

Present and future capabilities of the Sand and Dust Storm Warning System for North Africa to provide knowledge on environmental risk indicators of meningitis.

Advertisements

Satellite based estimates of surface visibility for state haze rule implementation planning Air Quality Applied Sciences Team 6th Semi-Annual Meeting (Jan.

WMO SDS-WAS Research and Development activities 7th meeting of the WWRP JSC (WMO Headquarters, Geneva, November 2014) S. Nickovic (Ex-WMO SDS-WAS,

Republic Hydrometeorological Service of Serbia GoranPejanovic.

21-25 Nov. 2011, Antalya 2nd Training Course on WMO SDS-WAS (Satellite and ground observation and modeling of atmospheric dust) SDS Forecasts at TSMS Hayreddin.

TNO experience M. Schaap, R. Timmermans, H. Denier van der Gon, H. Eskes, D. Swart, P. Builtjes On the estimation of emissions from earth observation data.

Respiratory Health Applications Using New Satellite Air Quality Sensors Prof. Stanley Morain Earth Data Analysis Center University of New Mexico, USA Commission.

Dr. Natalia Chubarova Faculty of Geography, Moscow State University, , Moscow, Russia, 2012 Gregory G. Leptoukh Online Giovanni.

Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.

Aircraft spiral on July 20, 2011 at 14 UTC Validation of GOES-R ABI Surface PM2.5 Concentrations using AIRNOW and Aircraft Data Shobha Kondragunta (NOAA),

Application of Satellite Data to Particulate, Smoke and Dust Monitoring Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality.

VALIDATION OF SUOMI NPP/VIIRS OPERATIONAL AEROSOL PRODUCTS THROUGH MULTI-SENSOR INTERCOMPARISONS Huang, J. I. Laszlo, S. Kondragunta,

Trajectory validation using tracers of opportunity such as fire plumes and dust episodes Narendra Adhikari March 26, 2007 ATMS790 Seminar (Dr. Pat Arnott)

Developing a High Spatial Resolution Aerosol Optical Depth Product Using MODIS Data to Evaluate Aerosol During Large Wildfire Events STI-5701 Jennifer.

AGENDA for RSG meeting June 4, Welcoming. Introduction of participants 2. Adoption of the agenda 3. Activities since the RSG meeting in Antalya.

The WMO/(GEO) Sand and Dust Storm Warning Advisory and Assessment System ESIP FEDERATION Environmental Decision Making July 2009 Santa Barbara, CA.

Forecasting Dust in Sahelian countries

PHAiRS : Dust Modeling PHAiRS : Dust Modeling Dazhong Yin Slobodan Nickovic William A. Sprigg March 14, 2006.

SDS-WAS Yihong DUAN WWRP- GAW Seminar on sand and dust storms in the Arab Region, Kingdom of Bahrain - 30 January to 1 February 2011.

Operational assimilation of dust optical depth Bruce Ingleby, Yaswant Pradhan and Malcolm Brooks © Crown copyright 08/2013 Met Office and the Met Office.

Regional Node Northern Africa - Middle East - Europe (SDSWAS NA-ME-E) Summary of Activities since last RSG meeting, November 2008, Tunis Michael Schulz.

Advances in Applying Satellite Remote Sensing to the AQHI Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Akhila Padmanabhan, Dalhousie.

A Proposal - Assimilation of Himawari Aerosol Information for Air Quality Forecasting Michael Hewson CSC PhD Research Fellow uq.edu.au Remote.

Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High- Resolution Regional Arctic.

Variational Assimilation of MODIS AOD using GSI and WRF/Chem Zhiquan Liu NCAR/NESL/MMM Quanhua (Mark) Liu (JCSDA), Hui-Chuan Lin (NCAR),

Second GALION workshop, WMO, Geneva September 2010 Aerosol Lidar Observations: A Missing Component Of Near-Real-Time Data Assimilation Requirements.

WMO SDS-WAS programme. Regional Center for Northern Africa, Middle East and Europe. Activity Report Enric Terradellas, José M. Baldasano, Emilio.

SDS-WAS Regional Steering Group meeting February 2011 Dust forecast model intercomparison: Case study of the Dust Cloud of April 2011 N. Huneeus.

Allen Chu & MODIS Aerosol Team MODIS Atmosphere Retreat Meeting St. Michaels, Maryland March 17, 2003 Evaluation of MODIS Aerosol Products in ACE-Asia.

WMO SDS-WAS programme. Regional Center for Northern Africa, Middle East and Europe. Enric Terradellas, José M. Baldasano, Emilio Cuevas and Francesco Benincasa.

Data was collected from various instruments. AOD values come from our ground Radiometer (AERONET) The Planetary Boundary Layer (PBL) height is collected.

AEMET, Agencia Estatal de Meteorología 1 A pilot project on climate and health in West Africa Amman (Jordan), November 2015 Delia GUTIERREZ, Focal Point.

Page 1 Met Office © Crown copyright 2007 CAMM model performance assessed during DODO2 Steph Woodward – climate model dust scheme Glenn Greed – implementation.

WWRP- GAW 1 SDS Training Course, Antalya, Turkey, Nov 2011 WMO governing bodies.

Presented at the 7th Annual CMAS Conference, Chapel Hill, NC, October 6-8, 2008 Identifying Optimal Temporal Scale for the Correlation of AOD and Ground.

Rong-Ming Hu and Randall Martin Inspiring Minds. Retrieval of Aerosol Single Scattering Albedo (SSA)  Determined with radiative transfer calculation.

Studying impacts of the Saharan Air Layer on hurricane development using WRF-Chem/EnKF Jianyu(Richard) Liang Yongsheng Chen 6th EnKF Workshop York University.

MINISTRY OF TRANSPORTS ALGERIAN METEOROLOGY SERVICE POBox 31 Tamanrasset Algeria Title of Presentation : EVENTS OF WIND SAND AND HAZE IN ALGERIA.

Estimating PM 2.5 from MODIS and MISR AOD Aaron van Donkelaar and Randall Martin March 2009.

Page 1© Crown copyright 2006 Modelled & Observed Atmospheric Radiation Balance during the West African Dry Season. Sean Milton, Glenn Greed, Malcolm Brooks,

NGAC verification NGAC verification is comparing NGAC forecast (current AOT only) with observations from ground-based and satellite measurements and with.

SDS-WAS Asian node activities and suggestions Sang-Sam Lee and Keiya Yumimoto NIMR(KMA), MRI(JMA) 2014 Meeting of the SDS-WAS Regional Steering Group (NA-ME-E.

An Observationally-Constrained Global Dust Aerosol Optical Depth (AOD) DAVID A. RIDLEY 1, COLETTE L. HEALD 1, JASPER F. KOK 2, CHUN ZHAO 3 1. CIVIL AND.

SDS “infrastructure” ( I ) SDS-Portal, further possible improvements: Link to available dust observations, benchmark data sets dust source mappings Publication.

WMO SDS-WAS Research and Development activities 8th meeting of the WWRP SSC (WMO Headquarters, Geneva, November 2015) S. Nickovic (SDS-WAS NAMEE,

II GALION workshop - Geneva, Switzerland – September 21-23, 2010 EARLINET contribution to SDS-WAS Europe – North Africa regional node Lucia Mona Istituto.

Chemical Data Assimilation: Aerosols - Data Sources, availability and needs Raymond Hoff Physics Department/JCET UMBC.

National Aeronautics and Space Administration 89th AMS Annual Meeting January 15, th Conference on Atmospheric Chemistry Session 10:

10th COSMO General Meeting, Cracow, Poland Verification of COSMOGR Over Greece 10 th COSMO General Meeting Cracow, Poland.

Assimilation of Satellite Derived Aerosol Optical Depth Udaysankar Nair 1, Sundar A. Christopher 1,2 1 Earth System Science Center, University of Alabama.

Estimation of the contribution of mineral dust to the total aerosol depth: Particular focus on Atlantic Ocean G. Myhre, A. Grini, T.K. Berntsen, T.F. Berglen,

Intercomparison and Evaluation of Dust Prediction Models WMO SDS-WAS Regional Center for Northern Africa Middle East and Europe Presents:

World Meteorological Organization Working together in weather, climate and water WMO WMO Sand and Dust Storm Warning Advisory and Assessment System (SDS-WAS):

Anthropogenic Emission Trend Drivers, Global Visibility (Smoke??) Trends GISS Carbonaceous Aerosol Trends Workshop November 24, 2003, NYC Rudolf.

WMO SDS-WAS Regional Center for Northern Africa, Middle East and Europe. Dust models intercomparison Sara Basart (BSC-CNS), Enric Terradellas (AEMET),

SDS-WAS Background The SDS-WAS was established in 2007 as a joint WWRP and GAW activity in response to the interest of 40 WMO member countries to improve.

Zhou Qing Liang（Shi Lijuan） CMA 31 Oct

Use of Near-Real-Time Data for the Global System

Barcelona Dust Forecast Center

Analysis of Sand and Dust Storms (SDS) between the years 2003 and 2016

G. Myhre, F. Stordal, M. Johnsrud, A. Ignatov, M. I. Mishchenko, I. V

Overview of WMO Activities on Sand and Dust Storms

Using dynamic aerosol optical properties from a chemical transport model (CTM) to retrieve aerosol optical depths from MODIS reflectances over land Fall.

Alta disponibilidad de los servicios del SDS-WAS y BDFC

Earth System Services communication: bringing science to society

Modeling and predicting From R&D to operational forecast

REGIONAL AND LOCAL-SCALE EVALUATION OF 2002 MM5 METEOROLOGICAL FIELDS FOR VARIOUS AIR QUALITY MODELING APPLICATIONS Pat Dolwick*, U.S. EPA, RTP, NC, USA.

Atmospheric dust transport models and usage

Enza Di Tomaso, Jerónimo Escribano, Nick Schutgens,

Atmospheric Sand and Dust: from Research to Operational Forecast Enric Terradellas (1), José M. Baldasano (2) and Emilio Cuevas (1) (1) AEMET, Spain.

Presentation transcript:

WMO SDS-WAS programme Regional Center for Northern Africa, Middle East and Europe Activity Report 2012 Enric Terradellas (AEMET), José M. Baldasano (BSC-CNS), Emilio Cuevas (AEMET), meeting of the WMO SDS-WAS Regional Steering Group for Northern Africa, Middle East and Europe, 21 January 2013

WMO SDS-WAS programme Regional Center for Northern Africa, Middle East and Europe Intercomparison and evaluation of dust prediction models Web portal Capacity building Important meetings Plans for 2013 Intercomparison and evaluation of dust prediction models Web portal Capacity building Important meetings Plans for 2013 Outline

Intercomparison and evaluation of dust prediction models

The models Joint visualization Generation of multi-model products Evaluation of dust AOD using AERONET data Evaluation of surface concentration Evaluation of vertical profiles The models Joint visualization Generation of multi-model products Evaluation of dust AOD using AERONET data Evaluation of surface concentration Evaluation of vertical profiles

MODELINSTITUTIONRUN TIME DOMAINDATA ASSIMILATION BSC- DREAM8b BSC-CNS12RegionalNo CHIMERELMD00RegionalNo LMDzT-INCALSCE00GlobalNo MACCECMWF00GlobalMODIS AOD DREAM- NMME-MACC SEEVCCC12RegionalMACC analysis NMMB/BSC- Dust BSC-CNS12RegionalNo MetUMU. K. Met Office 00GlobalNo GEOS-5NASA00GlobalMODIS reflectances NGACNCEP00GlobalNo VARIABLES: Dust surface concentration – Dust Optical Depth at 550 nm LEAD TIME: 0 – 72 hours, every 3 hours GEOGRAPHICAL DOMAIN: 25ºW – 60ºE, 0 – 65ºN VARIABLES: Dust surface concentration – Dust Optical Depth at 550 nm LEAD TIME: 0 – 72 hours, every 3 hours GEOGRAPHICAL DOMAIN: 25ºW – 60ºE, 0 – 65ºN The models

RUN: 21 Oct 2012 VALID: 21 Oct :00 – 24 Oct :00 Joint visualization. Dust AOD at 550 nm

RUN: 21 Oct 2012 VALID: 21 Oct :00 – 24 Oct :00 Joint visualization. Surface concentration

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 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 Generation of multimodel products

TAMANRASSET_INMSANTA_CRUZ_TENERIFE nrt evaluation using AERONET data

Monthly Seasonal Annual Monthly Seasonal Annual Besides dust, there might be other aerosol types. Therefore, negative BE could be expected. Bias Error Root Mean Square Error Correlation Coefficient Fractional Gross Error Bias Error Root Mean Square Error Correlation Coefficient Fractional Gross Error Evaluation scores using AERONET data

Meteorological stations PM10 = V D’Almeida (1986) TSP = V Ben Mohamed et al. (1992) Tegen and Lacis (1996) Koschmieder equation Exploring the use of visibility to evaluate dust surface concentration

NEJRAN, Saudi Arabia Terra/MODIS 17 Mar :00 KUWAIT Int. Apt., Kuwait SEEB, Oman Available at

Evaluation of surface concentration with AQ data from Turkey

Exploring the use of lidar to evaluate dust vertical profiles

Web portal

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 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 Archive

Capacity building

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

Important meetings

Sep The WMO CBS-15 meeting recommends the designation of the Center as Regional Specialized Meteorological Center with Specialization on Atmospheric Sand and Dust Forecast(RSMC-ASDF). Jul It is expected that the WMO Executive Council meets the recommendation and the RSMC starts working. Sep The WMO CBS-15 meeting recommends the designation of the Center as Regional Specialized Meteorological Center with Specialization on Atmospheric Sand and Dust Forecast(RSMC-ASDF). Jul It is expected that the WMO Executive Council meets the recommendation and the RSMC starts working Sep 2012: WMO Fifteenth Session of the Commission for Basic Systems (CBS-15), Jakarta, Indonesia

20-22 Nov 2012: Regional Conference on Dust and Dust Storm, Kuwait UNEP and WMO organized a special session on the scientific aspects of the Regional SDS Programme. Experts gave recommendations on the programme improvement.

Plans for 2013: Outstanding activities

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 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

Thanks for your attention !! WMO SDS-WAS programme Regional Center for Northern Africa, Middle East and Europe