T h e C o p e r n i c u s A t m o s p h e r e M o n i t o r i n g S e r v i c e Developing linkages with FAIRMODE Atmosphere Monitoring Laurence ROUÏL (Ineris, FR) Copernicus EU Copernicus EU Copernicus EU www.copernicus.eu
C A M S : C O P E R N I C U S AT M O S P H E R E M O N I TO R I N G S E RV I C E Atmosphere European Air NO 2 Monitoring Quality and products in http://atmosphere.copernicus.eu support of policy users Ozone layer Solar radiation Emissions and and UV index surface fluxes Global analyses, forecasts and reanalyses Direct access to main daily global products at http://atmosphere.copernicus.eu/charts/cams
CAMS SERVICE CHAIN C A M S : fo c u s o n r e g i o n a l a i r q u a l i t y i s s u e s Atmosphere Sp Space Agencies Glob lobal l and nd regio ional l emis missio ion inventorie ies (lead TNO) NO) Monitoring ECMWF Integ tegrated For orecastin ing Sy System (IFS) S) In-si In situ ob obse servations Regio ional l multi multi-model l ens nsemble (lead: Météo-France) Polic licy y Prod oducts Users: (lead: INE NERIS) S) Env. Agencies En Academia SMEs SM Es Citi Ci tizens 15 ... ...
A i r q u a l i t y r e l a t e d o b j e c t i v e s Atmosphere • Documenting and predicting in the finest way background air pollutant Monitoring concentrations (Ozone, NO2, PM) in Europe tacking stock of all available assessment means • An intensive activity around data assimilation and data fusion • Hot spots and city scale are out of the scope of CAMS services • Understanding contribution of (very) long range transport of air pollution and its contribution to the urban scale • Focus on natural sources and their global contribution : dusts, forest fires, sea salts • Global and regional emission services to bridge “official emissions” (CLRTAP/EMEP, NECD) to “experts estimates” (needed for modelling) • A unique framework for regional chemistry-transport model development, evaluation and implementation: about 10 European models involved in the CAMS Ensemble approach
T h e R e g i o n a l C A M S s e r v i c e s f o r E u r o p e Atmosphere 9 operational models Monitoring CHIMERE (INERIS) Global model products EMEP (MET Norway) Regional emissions EURAD-IM (RIUUK) Observations LOTOS-EUROS (KNMI/TNO) MATCH (SMHI) Daily production of air quality SILAM (FMI) Annual production of forecasts and air quality reanalyses MOCAGE (Meteo-France) Analyses (9 models & Interim (YY-1) & Validated (YY-2) Ensemble) DEHM (Aarhus Univ.) GEM-AQ (Warsaw Univ.) 2 new models under development : USERS MINNI from ENEA (IT), and MONARCH from BSC (SP)
C A M S M o d e l s e v a l u a t i o n ( i ) Atmosphere Monitoring Transparency is the n°1 rule Comparison against NRT and validated observation datasets
Atmosphere Monitoring Complementarity with the Fairmode evaluation processes; evaluation against Fairmode criteria should be performed Evaluation against new datasets : 3D observations, collocated measurements (EMEP-GAW), chemical composition (ACTRIS)
C A M S P o l i c y S u p p o r t P r o d u c t s Atmosphere • https://policy.atmosphere.copernicus.eu/ Monitoring • Objectives: – Support analysis and understanding of air quality trends and episodes – Provide illustrative tools to document the multi-factorial and complexity origin of air pollution episodes – Focus on PM and ozone for which model capacities are well-suited • No compliance checking, no planning tools – Improving our understanding of air pollution patterns and episodes in Europe : role of local sources versus long range transport, chemical composition, activity sectors, trends…
« W h a t i f » o n - l i n e s c e n a t i o t o o l ( A C T ) Atmosphere Monitoring Helpful to support episode understanding Surrogate model of the Chimere CTM but non-linerarity of the processes is taken into account
S o u r c e - r e c e p t o r a n a l y s i s Atmosphere Monitoring
S u p p o r t e p i s o d e u n d e r s t a n d i n g Atmosphere Monitoring
P o s s i b l e c o l l a b o r a t i o n w i t h F A I R M O D E Atmosphere • New tools focused on day to day analysis and episodes Monitoring • Support for policy decision and communication in case of episode and analysis/understanding of various air pollution patterns in Europe – Variability of the influence of activity sectors – Linkages between local and transboundary air pollution • Planning is not the objective of these tools but they can provide a “first guess” for qualifying exceedances • Collaborative work – On the evaluation of the results: feedback from “informed users” would be very welcome – On the interpretation of their results in the light of FAIRMODE recommendations, especially regarding source-apportionment aspects
U p c o m i n g d e v e l o p m e n t s • Improving the Ensemble approach Atmosphere Monitoring • Statistical adaptation (data fusion) to improve forecasts • To be prepared to assimilate sentinel 4 retrievals (geostationary dedicated to air quality) • Improving the analysis of roles of various sources and emission inventories CAMS is implementing tagged EC in the European AQ Forecasts (experiment). Participating RCTMs: Chimere, EMEP, Eurad-IM, Lotos- Euros, MATCH, MOCAGE, SILAM, DEHM, GEM-AQ, MINNI, MONARCH Collaboration with EMEP for the evaluation phase taking stock of the last EMEP field campaign (winter 2017/2018) CAMS_81 (TNO, J. Kuenen) PM_split_for_CAMS-REG-AP_v2_2_1_rev_20190326
E U R O D E L T A - c a r b p r o j e c t ( C L R T A P / E M E P ) averaged over DJF 2017/2018 Atmosphere Monitoring EC_wb/PM2.5 EC_ff/PM2.5 EMEP/CAMS Contribution to the scientific evaluation of regional CTMs Help in understanding role played by activity sectors (and understanding) 2020 EMEP work plan
Last information: : th CAMS poli 4 th olicy users’workshop 12 12 Mar arch 20 2020 20, Bru russels ls, kin kindly ly hos osted by y DG DG-ENV an and DG-DEFIS All ll experts ar are welc lcome ! ! Thank you for your attention Atmosphere Monitoring Copernicus EU Copernicus EU Copernicus EU www.copernicus.eu
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