P E R S P E C T I V E S F R O M 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
Copernicus EU
Copernicus EU www.copernicus.eu
Copernicus EU
V i n c e n t - H e n r i . P e u c h @ e c m w f. i n t
Atmosphere Monitoring
O U T L I N E
• Copernicus and CAMS
• 4 CAMS Assets
• 4 Science Challenges (for supporting policy aspects)
Copernicus
Sentinels
C O P E R N I C U S
Copernicus is the European Union’s operational Earth Observation and Monitoring programme, looking at our planet and its environment for the benefit of all citizens. User-driven with free + unrestricted data access
Atmosphere
Climate
Land
Marine
Emergency
Security
Satellite and in-situ observations feeding into value-added Services
Atmosphere Monitoring
A C C E S S I N G T H E C A M S P O R T F O L I O
Solar radiation and UV index
Ozone layer
Emissions and surface fluxes Global analyses, forecasts and reanalyses
NO2 European Air Quality and products in support of policy users
http://atmosphere.copernicus.eu
CAMS is operational since 2015 and follows 10 years of R&D
Radiative forcings
Atmosphere Monitoring
CAMS SERVICE CHAIN
Space Agencies
In-situ observations
15
A S S E T # 1 : C A M S O P E R AT I O N A L I N F R A S T R U C T U R E
ECMWF Integrated Forecasting System (IFS)
Regional multi-model ensemble (7 soon 9
models)
Users: Env. Agencies Academia SMEs Citizens ...
~75 different data streams (about 15 for atmospheric
composition variables)
EEA, GAW, EMEP, IAGOS, NDACC, ICOS, ACTRIS, EAN...
Global System
Regional System
Atmosphere Monitoring
CAMS SERVICE CHAIN A S S E T # 2 : C A M S C O L L A B O R AT I V E D I M E N S I O N
• About 75 European entities involved in ~35 contracts (several since 2005)
• CAMS contributes to WMO/GAW activities and GEO
Atmosphere Monitoring
A S S E T # 3 : C A M S C A PA C I T Y T O D E L I V E R CAMS NOx European emissions in 2015 (lead: TNO)
CAMS delivers. An example: upcoming CAMS emissions inventories (0.1 global; ~8km Europe). Key aspects: recent (projection) and model oriented.
CAMS CO2 shipping emissions in 2016 (lead: FMI)
CAMS anthropogenic NH3 emissions in 2018 (lead: CNRS)
Atmosphere Monitoring
A S S E T # 4 : C A M S P R O D U C T S
Several CAMS products have little equivalent. Example: reanalyses.
Atmosphere Monitoring
S C I E N C E C H A L L E N G E # 1 : D O W N S C A L I N G
• Downscaling is a must for most CAMS applications (exposure...) • There are literally hundreds of applications downscaling today CAMS outputs
(resolutions of main products are 10, 40 or 80km), with a range of methods: Model Output Statistics (points), regressions (using proxies, land use...), analogues, 3-D models...
• Very few guidance about best practises “to run the last mile”, while this is not just an “engineering” issue but it ties in with fine scale variability, representativeness issues...
Atmosphere Monitoring
S C I E N C E C H A L L E N G E # 2 : D E P O S I T I O N
• Deposition of key constituents is a much needed information product, while reliable estimates are very challenging to derive from models.
• Meeting in Feb 2017 at WMO: roadmap. How to use best the global observing system and downscale to relevant scales? How to operationalise the process?
• Joint effort needed: observations, process-oriented studies, local-regional-global modelling...
ECMWF/IFS
Courtesy H. Elbern (EURAD-IM)
Atmosphere Monitoring
S C I E N C E C H A L L E N G E # 3 : S O U R C E A P P O R T I O N M E N T
• A type of product in high demand (and rightly so) both for real-time management and analysis of past period
• Still somewhat challenging to interpret and “verify” • Presentation (including to general audiences, or to high-level decision makers) is
also a challenge
Met.no, TNO and INERIS
Atmosphere Monitoring
S C I E N C E C H A L L E N G E # 4 : I N V E R S E M O D E L L I N G
• The first satellite of the Copernicus series of atmospheric composition missions has been launched (Sentinel-5P)!
• While inverse modelling applications (reactive gases, aerosol, greenhouse gases) have been around for some time, there is substantial new potential to harness.
• It is crucial not to oppose bottom-up (inventories) and top-down (inversions): they need to work together.
• Key capacity (not “product”) for air quality and climate policy support
Preliminary images shared by EU, ESA, KNMI, SRON, DLR and others at the S-5P 1st light event (01/12/2017)
Slide Number 1OUTLINECOPERNICUSACCESSING THE CAMS PORTFOLIOASSET #1: CAMS OPERATIONAL INFRASTRUCTUREASSET #2: CAMS COLLABORATIVE DIMENSIONASSET #3: CAMS CAPACITY TO DELIVERASSET #4: CAMS PRODUCTSSCIENCE CHALLENGE #1: DOWNSCALINGSCIENCE CHALLENGE #2: DEPOSITIONSCIENCE CHALLENGE #3: SOURCE APPORTIONMENTSCIENCE CHALLENGE #4: INVERSE MODELLING
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