french organization in atmospheric chemistry data assimilation
DESCRIPTION
French Organization in Atmospheric Chemistry Data Assimilation. P. Ricaud, L3AB, Bordeaux, France D. Cariolle, CERFACS, Toulouse, France And French colleagues March 2004. -> Poster by L. El Amraoui, Assimilation of O3 and N2O from Odin. Background. 8 models - PowerPoint PPT PresentationTRANSCRIPT
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French Organization in Atmospheric Chemistry Data
Assimilation
P. Ricaud, L3AB, Bordeaux, FranceD. Cariolle, CERFACS, Toulouse, France
And French colleagues
March 2004
-> Poster by L. El Amraoui, Assimilation of O3 and N2O from Odin
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Background
8 models MOCAGE, ROSE/MSDOL, REPROBUS, CHIMERE,
POLAIR, MIMOSA, MIPLASMO-assimilé, Kattatov 4DVAR
2 main assimilation methods Sequential, variational
8 satellite and aircraft data sets GOMOS, SCIAMACHY, MIPAS, SMR, OSIRIS,
MOPITT, IMG, MOSAICAbout 10 laboratories
Paris, Toulouse, Bordeaux, Orléans, NiceMore than 30 people involved
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Background -2-
Assimilation techniques applied through scientific themes Dynamical and chemical processes in the UTLS O3 and precursors O3 monitoring Aircraft impacts in the atmosphere Pollution and emission
Organization of the atmospheric community Expertise of one lab to be used efficiently by
another one and widely benefits to the entire community
Developement of a common tool (?)
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PALM -1-
PALM: Projet d’Assimilation par Logiciel Multiméthode
Developped for the MERCATOR (oceanography) assimilation programme at CERFACS (Toulouse)
2 objectives Easy development of assimilation schemes Exchange of software modules between
different teamsAble to assemble an assimilation chain as
a sequence of independent software modules
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PALM -2-
Modularity and readibility of the applications
Portability of the PALM softwareEasier evolution of the assimilation
schemesUse pre-defined tools (linear algebra units,
linear interpolation, …)Parallelism
Exchange of PALM unitsExchange of methods and assimilation
schemes
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Further informations
http://www.cerfacs.fr/~palm
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What has been done with PALM so far?
CERFACS: T. Morel and S. MassartAssimilation method: 3D-VAR (-> 4D-VAR)Model: MOCAGE (Météo-France)Satellite data set: GOME O3
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Expertise Centres :Obs. operators
Direct models and methodology
Satellites:GOMOS, Odin,
MOPITT, …
Models: REPROBUS, MIMOSA, …
PALM
Assimilation chains
2 PALMed chains:MOCAGE & MSDOL/REPROBUS
MOCAGE & LMDz
Research chains : Other chains in various labs
OperationalGMES
Non OperationallASSET, SAF O3External
links
Organization
Methodology:Optimal estimation, 3D and 4DVAR, …
EtherData Base
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Short-term project
Observation operators GOMOS O3 Odin/SMR O3 and N2O MOPITT CO
Models MOCAGE (already done) MSDOL/REPROBUS
Methods 3D-VAR -> 4D-VAR Optimal interpolation
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Mid-Term Project
Multi-instrument and/or multi-platform Consistancy and covariance error
O3 Constraints
O3 -> windsN2O -> NOy
Short-lived species and/or families Cly: HCl, ClO, ClONO2NOy: N2O, HNO3, NO2, NO3
Radiances and/or brightness temperatures No retrievals required
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Status
Proposed to the CNRSPositive feedbacksStill under discussion
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Ackowledgements
SA, ParisLMD, ParisLSCE, ParisENPC, ParisCERFACS, ToulouseMétéo-France, ToulouseLA, Toulouse CNES, ToulouseL3AB, BordeauxLPCE, OrléansACRI, Nice