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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
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Atmosphere Monitoring
O U T L I N E
• Copernicus and CAMS
• 4 CAMS Assets
• 4 Science Challenges (for supporting policy aspects)
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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
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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
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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
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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
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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)
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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.
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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...
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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)
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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
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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
