CAMS Atelier virtuel pour les utilisateurs (France) - Séance 1-2 (10:00 - 10:55) CAMS product portfolio, updates / radiation and CO2
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
CAMS Atelier virtuel pour
les utilisateurs (France)
Séance 1-2 (10:00 – 10:55)
CAMS product portfolio, updates / radiation and CO2
Atmosphere Monitoring
Chair: V.-H. Peuch (ECMWF)
Co-Chair: M. Domergue (Ministry for the Ecological Transition)
Mise à jour du portefeuille produits CAMS
Stijn Vermoote, ECMWF
Acknowledgements:
V.-H. Peuch, R. Engelen and other colleagues and service providers
of CAMS team
Atmosphere Monitoring
C A M S I N F O R M AT I O N F L O W
Atmosphere
Monitoring
CAMS users
40km Globe
(twice daily, d+5)
CAMS main operational data
assimilation and modelling systems
Earth Observation
from satellite (>75
instruments) and in-
situ (regulatory and
research)
10km Europe
(daily, d+4)
http://atmosphere.copernicus.eu
Atmosphere
Monitoring CAMS provides operational
information products based on
Earth Observation about:
• past, current and near-
future (forecasts) global
atmospheric
composition;
• the ozone layer;
• European air quality;
• emissions and surface
fluxes of key pollutants
and greenhouse gases;
• solar radiation;
• climate radiative forcing.
PRODUCTS: Past global atmospheric composition
Atmosphere The CAMS global reanalysis covers the period 2003 to end 2019. It is a marked improvement over our previous datasets
Monitoring (MACC reanalysis and CAMS interim reanalysis).
CAMSRA (2003-2016)
Evaluation of total column CO
bias 4.49 ± 5.04 2.99 ± 3.02 -0.54 ± 2.95
Evaluation of Aerosol Optical Depth
CIRA (2003-2016)
bias 4.55 ± 4.50 7.30 ± 4.42 1.96 ± 5.06
MACCRA (2003-2012)
PRODUCTS: Ozone layer
Atmosphere
Monitoring
The anomalous 2019 ozone hole
has closed. It has been the smallest
since the early 80s. This possibility
was mentioned by CAMS to the
press in mid-September already.
PRODUCTS: Emissions inventories
Atmosphere
Monitoring
Emissions are both an input to CAMS global and regional systems and a popular product.
Entirely new datasets have been released covering 2003 to 2020 (extrapolation).
Example: CO2 emissions from shipping activities.
(lead provider: TNO, NL)
P R O D U C T S : D A I LY A N A LY S E S A N D F O R E C A S T
Atmosphere
Monitoring • Over Europe, a multi-model ensemble
is used to deliver forecasts (with
uncertainty).
• It has now 9 operational members
(CHIMERE, DEHM, EMEP, EURAD,
GEM-AQ, LOTOS-EUROS, MATCH,
MOCAGE, SILAM) and 2 more are
ramping up (MONARCH, MINNI).
• Effectively, the “Premier League” for
air quality models in Europe,
leveraging on national efforts and
expertise in 10 EU Member States.
• 10km by design.
PRODUCTS FOR POLICY USERS
Atmosphere
Monitoring
Annual Air Quality (interim)
assessment reports, includes
analysis of key episodes and effect Air Control Toolbox (ACT)
of natural contributions for Co-designed with EU Member States
supporting reporting activities in MS. and operated using one of the
ensemble members (CHIMERE, Ineris,
FR)
For major European cities
Daily analysis of local versus large scale
contribution to air pollutant concentrations.
http://policy.atmosphere.copernicus.eu
Supplementary products
Atmosphere
Monitoring
Greenhouse gas fluxes (CO2, CH4, N2O) Climate forcings
Solar
radiationD O C U M E N TAT I O N & Q U A L I T Y C O N T R O L
Atmosphere
Monitoring Ozone free
troposphere
2013-2018
CAMS provides detailed information about how its products
are produced and what the quality is.CAMS:
a mainstream information source on air Copernicus EU
quality
free and open source of big data for local Copernicus ECMWF
applications
@CopernicusEU
@CopernicusECMWF
@VHPeuch
@copernicusecmwf
Atmosphere Monitoring Copernicus EU
Copernicus ECMWF
www.copernicus.eu
atmosphere.copernicus.euPlans and expectations for the
new CAMS CO2 service
Atmosphere Monitoring Richard Engelen
Deputy Director of CAMS
Project Coordinator of CoCO2Some context
Atmosphere The 2019 Refinement to the 2006 IPCC Guidelines for National
Monitoring
Greenhouse Gas Inventories acknowledged the
complementary capability offered by the monitoring of
greenhouse gas emissions through in situ and satellite
observations.
The European Green Deal plans to make the EU's economy
sustainable. This can be done by turning climate and
environmental challenges into opportunities and making the
transition just and inclusive for all.
Ursula von der Leyen: “You should explore ways in which we
can make the most of our assets to deliver on climate
objectives, including the use of Copernicus to monitor CO2
emissions.“UNFCCC- National Inventory Reports
Atmosphere
Monitoring
Total emissions by pollutant, sector, country and year are reported to the UNFCCC following strict
IPCC guidelines. These guidelines have been agreed internationally at high political level.
3Is this information sufficient for monitoring our climate goals?
Atmosphere
Monitoring
The nationally reported emissions are:
• based on internationally agreed guidelines
• accurate, especially for Annex I countries
• split out by sector
But:
• lag in time (~2 years)
• have no detailed spatial information
• have no detailed temporal information
To achieve a more detailed and timely
monitoring of emissions in support of climate
mitigation actions, we need additional
information.
4Current advances - gridded emission data & use of timely information
Atmosphere
Monitoring There is more detailed emission information
available, both in space and time, which can be
used to provide gridded maps. However,
individual countries use different
methodologies, which results in globally
inconsistent maps.
Much effort goes into harmonizing
these grid maps by, for instance, the
Joint Research Centre (JRC) and the
Copernicus Atmosphere Monitoring
CAMS - BSC
Service.
2020
5Difficult sectors - Agriculture, Forestry, and Land Use (AFOLU)
Atmosphere
Monitoring
While uncertainties in national
reported fossil fuel emissions tend
to be small, certainly within Europe,
this is not the case for other sectors.
Emissions from the AFOLU sector
are much harder to estimate, but
account for about 25% of the total
greenhouse gas emissions.
They also provide good options for
mitigation and are therefore
important to monitor.
6Challenges of observation-based emission monitoring
Atmosphere Satellites do not measure emissions directly; they measure the impact
Monitoring
of emissions on the atmosphere.
Satellites see only the total impact of anthropogenic and natural effects.
Earth System models are used to
translate the observations into
emission estimates.Proposed Copernicus Monitoring & Verification Support capacity
Atmosphere
Monitoring
The added value of the CO2MVS will not be
in the replacement of the current national
annual-mean emission estimates reported
to the UNFCCC, but in providing more
detailed and more timely information in
support of climate mitigation and adaptation
actions.
Combining information from a multitude of
sources will deliver relevant emission data in
a much more timely, detailed and consistent
way than is currently available through the
national reporting.User engagement – co-design of service portfolio
Atmosphere
Monitoring Supporting countries
UNFCCC
depending on their
Official reporting
needs.
National Priors
Copernicus
inventory
CO2MVS capacity
agencies
Synergetic
National exchange
observation-
based monitoring
Observation-based added-value information
Working with users to understand their requirements and
together build the added value of the CO2MVS.Roadmap
Atmosphere
Monitoring
CO2 Monitoring Task Force
Launch of the CO2
2nd global
Sentinel
stocktake
constellation
1st global
stocktake
2018 2020 2022 2024 2026 2028
2015
Prototyping activities including
Copernicus service in full
relevant CO2 satellite missions
MRD operations using CO2 Sentinels
from international space
and international virtual
agencies
constellation
R&D Support ActionsExamples of where we are today
Atmosphere
Monitoring Fluxes of carbon dioxide from managed
ecosystems estimated by national
inventories compared to atmospheric
inverse modelling
UNFCCC
In-situ based estimates
Satellite based estimates
Frédéric Chevallier, LCSE
Comparing Sentinel-5p satellite
observations with model simulated
observations to detect methane hotspots.
Jérôme Barré, ECMWFCONCLUSIONS
Atmosphere
Monitoring
• Plan is to ramp-up the anthropogenic CO2 emissions monitoring & verification
support capacity (CO2MVS) in CAMS to be operational in 2026
• Aim of the CO2MVS capacity is to support the European Commission and EU
member states with monitoring the anthropogenic impact on atmospheric
CO2 concentrations
• The exact product portfolio will be co-designed with member states and other
user communities
• The service provision and its continual development will be distributed over
European partners as is already the case for CAMS and C3STour du magasin des produits de CAMS
(ADS) et Outils d'assitance aux utilisateurs
Anabelle Guillory
User Services
ECMWF
Atmosphere Monitoring
Remerciements: Miha RazingerTOUR de l ’A D S
Atmosphere
Monitoring
Qu’est ce que l’ADS?
L’ADS en quelques chiffres
Que trouve-t-on dans l’ADS?
Comment accéder et télécharger les données?https://ads.atmosphere.copernicus.eu
Atmosphere
Monitoring
L'Atmosphere
Data Store (ADS)
remplace le
catalogue de
produits CAMS
comme point
principal d'accès
à toutes les
données CAMS
(guichet
unique!)L e s r o u a g e s d e l ’A D S
Atmosphere
Monitoring L'ADS est un système de données et d'informations,
modulaire et distribué qui donne accès à tous les
ensembles de données CAMS via des interfaces Web
et API unifiées. Plus tard, l’ADS offrira aussi des
capacités de traitement de données en ligne (toolbox).construit sur le succès de la grande soeur: la CDS Atmosphere Monitoring https://cds.climate.copernicus.eu
L’A D S en quelques nombres
Atmosphere
Monitoring
• ADS lancé en juin 2020
• 11 ensembles de données publiés, 2 autres sont presque prêts
• volume total de données publiées ~ 1,5 PB, avec 120 TB de disques, le
reste sur bandes
• plus de 5600 utilisateurs enregistrés dans 148 pays
• 150 utilisateurs actifs/jour
• ~25 000 requêtes/jour
• en moyenne 1,5 TB de données par jourCatalogue de produits disponibles Atmosphere Monitoring
Ensembles de données à venir
Atmosphere
Monitoring
• Réanalyses européennes de la qualité de l’air (European air
quality reanalyses)
• Inventaires européens des émissions (European emission
inventories)
• Émissions de feux de biomasse (Fire emissions)Comment accéder aux données?
Atmosphere
Monitoring
1 Inscription (unique, immédiate et gratuite) 2 Chercher dans le catalogueComment accéder aux données?
Atmosphere
Monitoring
3 Remplir le formulaire de téléchargement en ligneComment accéder aux données?
Atmosphere
Monitoring
3 Remplir le formulaire de téléchargement en ligneComment accéder aux données?
Atmosphere
Monitoring
3 Remplir le formulaire de téléchargement en ligneComment accéder aux données?
Atmosphere
Monitoring
3 Remplir le formulaire de téléchargement en ligne 4 Télécharger les données pour les utiliserParcours d'assistance aux utilisateurs
Atmosphere
Monitoring https://atmosphere.copernicus.eu/help-and-support
Copernicus Knowledge Base
(CKB), un ensemble de documents
et de lignes directrices dont la
qualité est contrôlée, revus et Copernicus User Forum, une plate-
vérifiés par des experts, mis à jour forme permettant aux utilisateurs
régulièrement. du CAMS de partager et
d'apprendre de l'expérience
Secure Enquiry Web Portal,
d'autres utilisateurs et experts.
Permettant aux utilisateurs du
Également l'endroit pour surveiller
CAMS de soulever toute question
les dernières annonces de CAMS.
restée sans réponse, d'envoyer
des commentaires, des besoins et
de surveiller le statut de leur
https://ads.atmosphere.copernicus.eu
demande : support.ecmwf.intParcours d’assistance aux utilisateurs ADS Atmosphere Monitoring
‘Watch’ CAMS FORUM Announcements Atmosphere Monitoring
En résumé
Atmosphere
Monitoring
L’ADS, c’est simple comme Bonjour!
Et les données sont librement accessibles et réutilisables
https://ads.atmosphere.copernicus.eu
N’hésitez pas à utiliser les outils d’assistance (CKB, Forum)
Pensez que nous sommes à votre écoute pour vous aider
Et tout ça, c’est gratuit!Solar Radiation service update –
New algorithms APNG, SEVIRI,
Himawari, GOES & future ideas
M. Schroedter-Homscheidt, F. Azam, J. Betcke
(DLR - Institute of Networked Energy Systems)
Atmosphere Monitoring N. Hanrieder, S. Wilbert (DLR – Institute for Solar Research)
L. Saboret, E. Wey (Transvalor)
M. Lefèvre, Y.-M. Saint-Drenan (Armines/Mines ParisTech)
A. Arola, M. Pittkänen (FMI)The CAMS radiation service principle
Atmosphere
Monitoring
Heliosat-4
clouds and McClear
from physical
approaches,
satellite
fast radiative
transfer
© EUMETSAT/DLR
irradiance,
cloud free irradiance
method papers
Qu et al., Contrib. Atm. Phys., 2017
Lefèvre et al., Atm. Meas. Tech., 2013
Gschwind et al., Contrib. Atm. Phys., 2019
© MEEOW h a t i s t h e t e m p o r a l a n d s p a t i a l r e s o l u t i o n ?
Atmosphere
Monitoring Not easy to answer Variable Data Temporal Spatial resolution
sources resolution
as input data has Aerosols properties CAMS 3h 0.8° until 20 June 2016,
various temporal and and type 0.4° since 21 June 2016
Cloud properties APOLLO 15 min 3 to 10 km
spatial resolutions. and type (DLR)
Total column CAMS 3h 0.8° until 20 June 2016,
content in ozone 0.4° since 21 June 2016
And solar geometry Total column water CAMS 3h 0.8° until 20 June 2016,
requires 1 min steps. vapour content 0.4° since 21 June 2016
Ground albedo MODIS Climatology of 6 km
(MPT) monthly values
Two answers:
a) Use the on-the-fly time series access at the user‘s location of interest.
The CAMS Radiation Services does all interpolation steps for you.
b) Agree on a gridded data set with one realisation of many possible
temporal and spatial resolutions.Time series on -the-fly and gridded data
Atmosphere
Monitoring
On-the-fly time series processing via gridded data
CAMS ADS or the CRS portal
• 15 min temporal resolution
• global, diffuse, direct and direct normal irradiation
• 2005-2020
• time series 2004 onwards
• 0.2° gridded data
1 min, 15 min, 1 hour, 1 day, 1 month temporal resolution
• any point within satellite field of view
• interactive and OGC script access possible
• transparent access to all input data used if 1 min is selectedExtended routine validation
Atmosphere
Monitoring
Evolution of the
number of stations
used for each product
2014 onwards
New activities:
• chapter on station data where we observe quality issues
• chapter on station instrumentation used
• multi-annual cycle comparisons for each quarter
• station-wise detailed validation reports as annexMethod updates
Atmosphere
Monitoring
• using C47R1 aerosols and replacing C46R1 period by new aerosols
• SEVIRI calibration update following Meirink et al. (KNMI)
• extension of COT LUTs instead of clipping at 0.5
• probabilistic cloud threshold in cloud masks,
1% cloud probability as a very strict selection
best optimum to fulfill solar energy user needs
• Radiative transfer models: point source,
no circum solar radiation,
will generate negative bias
against ground observations
• User standard: WMO CIMO Guide (2008): …(half-angle 2.5 deg)”
• This we should fulfill…How do make results fit to pyrheliometes ?
Atmosphere All cases including clear sky All cloudy cases
Monitoring
Thin ice cloud cases Thin ice cloud cases +
adding circumsolar
DIR
60 min
SAT vs.
ground,
Cabauw,
2015
cloud modification factor
e.g. Shiaobara & Asano (1994), Kinne et al. (1997)
empirically derived:
optimum apparent COT modification factor
for optically thin, non-cirrus cloudsEvaluation results – MSG-SEVIRI
Atmosphere 15
Monitoring
GHI relative bias error [%]
10
Study design:
5
hourly evaluation; all days of 2015
0
CAMS operational (incl. bias correction, V3.2)
ADR
JOR
OUJ
TN
ZAG
PAL
GOB
GHA
MIS
TAN
CAB
CAM
CAR
LIN
CNR
CAI
ERF
vs. -5
APOLLO_NG/Heliosat-4(DLR), -10
no bias correction applied -15 CAMS, biascorr APOLLO_NG/H4(DLR), no biascorr
Experimental version as basis for
CAMS Radiation Service v4.0 25
GHI relative RMSE [%]
Thanks to BSRN & EnerMENA station teams 20
for providing their data.
15
10
5
0
TN
ADR
JOR
OUJ
ZAG
GOB
PAL
TAN
GHA
MIS
CAB
ERF
CAM
CAR
CNR
CAI
LIN
CAMS, biascorr APOLLO_NG/H4(DLR), no biascorrWorldwide validation of new scheme
Atmosphere
Monitoring MSG-like or improved satellites
now available
25.1.2018, 1200 UTCEvaluation results – Himawari-8
Atmosphere
Monitoring
Study design:
hourly evaluation; 6 days/month – each 5/10/15/20/25/30 of each month in 2018
APOLLO_NG/Heliosat-4(DLR), no bias correction applied
Hourly GHI and DIR validation for HIMAWARI -8 for the year 2018 - outliers COC and LEA are mixed pixels at the coastline.
Station LEA does not provide enough DIR observations and is excluded.Evaluation results – GOES-16
Atmosphere
Monitoring
Study design:
hourly evaluation; 6 days/month – each 5/10/15/20/25/30 of each month in 2018
APOLLO_NG/Heliosat-4(DLR), no bias correction applied
Hourly GHI and DIR validation for GOES-16 for the year 2018 – long snowy season increases all metrics
in BON, BOS, FPE, SXF in 2018; DRA affected by parallax effects in broken cloud conditionsConclusions
Atmosphere
Monitoring The CAMS Radiation Service provides solar irradiation
• at the point of interest
• as a time series in the requested temporal resolution
• easy access as the spatio-temporal interpolation challenge is solved for the user
• one gridded dataset available as well – ADS integration will provide more options for users
• traceable data generation, open information on quality control
• lot‘s of details available in validation reports and User Guide
• A new CAMS Radiation Service V4 will be released soon.
• using C47R1 aerosols and replacing C46R1 period by new aerosols
• update in SEVIRI calibration
• probabilistic cloud masks of APOLLO_NG
• no COD clipping for small values anymore
• direct irradiance will fit better to pyheliometer observations
• Preparations for Himawari-8 and GOES were done with very nice validation results.Contact point & references
Atmosphere
Monitoring
• general inquiries and user requests: copernicus-support@ecmwf.int
• specific for the Solar Radiation Service team:
marion.schroedter-homscheidt@dlr.de
• User‘s Guide at http://atmosphere.copernicus.eu/documentation
• Heliosat-4 method: Qu et al., Fast radiative transfer parameterisation for assessing the surface solar
irradiance: The Heliosat-4 method, MetZet, 2017
• McClear method: Lefèvre et al., McClear: a new model estimating downwelling solar radiation at
ground level in clear-sky conditions, AMT, 2013 & Gschwind et al., Improving the McClear model
estimating the downwelling solar radiation at ground level in cloud-free conditions – McClear-v3,
Contrib. Atm. Phys./Meteorol. Z., 2019
• UV and broadband irradiation evaluation: Quarterly validation reports at
https://atmosphere.copernicus.eu/supplementary-servicesYou can also read
