W H AT ’ S T H E
AT M O S P H E R E L I K E
T O D AY ?
Atmosphere Monitoring
CAMS, the Copernicus Atmosphere
Monitoring Service
Vincent-Henri Peuch (ECMWF)
Copernicus EU
Copernicus EU
Copernicus EU
www.copernicus.eu
F R O M
S C I E N C E
TO
Atmosphere
Monitoring
AC T I O N A B L E
I N F O R M AT I O N
After a decade (or more), air quality
forecasts and related products have found
their way to decision makers and the public.
Credits: CAMS (INERIS, Met Norway)
C O P E R N I C U S :
Atmosphere
Monitoring
A
F L A G S H I P
E U R O P E A N
P R O G R A M M E
With its principles defined shortly after the Kyoto protocol
was adopted, Copernicus contributes to the international
commitment to monitor effectiveness of policies and
treaties regarding the Earth’s environment and climate
Copernicus is harnessing world
leading science and technology to
equip society to understand and
adapt to our changing environment.
Data is full, free and open to all.
Funding: €4.3 billions for 2014-2020
Sentinels
THE
COPERNICUS
VALIE-ADDING
CHAIN
Atmosphere
Monitoring
Services
led by ECMWF
* Mostly
based on the
principle of
subsidiarity
from EU
Member
states
*
Over 1300 users of daily NRT
/ operational CAMS users and
there was over 40000
monthly visitors of the
website in Feb. 2017.
CCAMS
A M SSERVICE
S E RCHAIN
VICE
Atmosphere
Monitoring
CHAIN
In-situ observations
Space Agencies
National scale
15
C A M S
Atmosphere
Monitoring
G L O B A L
S Y S T E M :
N W P
A N D
C O M P O S I T I O N
Space Agencies
C-IFS
Fire emissions
Anthropogenic
emissions
The model itself:
• ECMWF 4D-var and meteorology
(T511)
• Integrated chemistry and aerosol
representation
• Integrated natural biosphere
model
DATA
ASSIMILATION
Atmosphere
Monitoring
IS
ESSENTIAL
No “silver bullet”…
you need to combine
information
ENVISAT/SCIAMACHY
GOSAT/TANSO
METOP-A/IASI
CH4
OVER
Atmosphere
Monitoring
70
DATA
STREAMS
USED
DAILY
Timeliness
Atmosphere
Monitoring
OF
OBSERVATIONS
Real Real-Time
Near-Real-Time
A posteriori
Final
< 2-3 hours
< 2-3 days
< 1 month
< 1 year
Applications
Automated
Filtering, flagging
Assimilation/
Forecast
(Verification)
Semi-automated
Verification
(Assimilation for
Delayed-Mode
applications)
Manual, Expertise
Semi-validated
Validation
Interim re-analyses
R&D
Expertise+
Validated
Re-analyses
Assessments
Validation
R&D
QC/QA
USE
MAIN
GLOBAL
DAILY
PRODUCTS
Atmosphere
Monitoring
AOD
CO
CO2
NO2
• 40 km horizontal resolution at 60 model levels; two 5-day forecasts per day
(chemistry and aerosols)
• 16 (-> 9) km horizontal resolution at 137 model levels; one 5-day forecast per day
(CO2, CH4, linear CO)
OPERATIONAL
Atmosphere
Monitoring
OBS MONITORING
MONITORING
AND
VALIDATION
Observation-minus-model statistics are automatically
generated for instruments that are being assimilated or
monitored.
INDONESIAN
Atmosphere
Monitoring
FIRES,
AUGUST-OCTOBER
2015
High resolution (~9 km) total column CO forecast
[1018 molec/cm2]
• Total column CO as tracer of smoke emitted from
forest and peatland fires in Sumatera and
Kalimantan
• High resolution forecast at native resolution of
ECMWF Integrated Forecasting System (IFS,
approx. 9 km).
• Typical high values for smoke (e.g. tropical Africa,
Amazon) are 10 x 1018 molec/cm2.
• The fields cover the entire globe, but only the
area of interest is plotted here.
• CAMS analyses of aerosol optical depth (AOD)
compared against AERONET observations at
Singapore.
• Organic Matter aerosol (i.e. smoke) largest
contributor throughout August to November.
• Generally good agreement (correlation
coefficient ~0.8) between analysis and
observations.
M. Parrington,16
S. Massart (ECMWF)
GLOBAL
Atmosphere
Monitoring
AIR
PM10
FORECASTS
NO2
Guangzhou
Shanghai
Beijing
PM2.5
QUALITY
FP7 PANDA and MarcoPolo, http://www.marcopolo-panda.eu/forecast/
ozone
CARBON
WEATHER
Atmosphere
Monitoring
A. Agusti-Panareda, S. Massart (ECMWF)
http://atmosphere.copernicus.eu
@CopernicusECMWF
Newsletter
W H AT ’ S T H E
AT M O S P H E R E L I K E
T O D AY ?
Atmosphere Monitoring
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