- Global Reanalysis of Ocean biogeochemistry : GREEN Grog -
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1 Journées GMMC Toulon, 7-9 juin Global Reanalysis of Ocean biogeochemistry : - Marion Gehlen (IPSL/LSCE) marion.gehlen@lsce.ipsl.fr and the consortium
2 A new PPR associating : Mercator-Océan CLS, Acri-ST IFREMER, LSCE, LEGGE, LOV, LOCEAN, LEGOS, MARBEC 3 years of funding ( ) building on and going beyond GREEN Mercator II contributing to H2020 AtlantOs
3 Long-term objective: build the capacity at Mercator Océan for providing weekly to seasonal forecasts and multi-annual reanalysis of ocean biogeochemical state at regional and global scales Scientific drivers: + Biogeochemical/ecological state estimation + Monitoring ocean C uptake and CO 2 air/sea fluxes + Marine ecosystem management (fisheries) at weekly to seasonal time scales + Regional downscaling and coastal applications, management of living marine resources
4 Development of an integrated system : coupled biogeochemical ocean general circulation model data assimilation to constrain ocean physics and biogeochemistry data streams: assimilation & validation physical: temperature, salinity, SSH Aumont et al. (2015) biological: chlorophyll, fluorescence biogeochemical: nutrients, oxygen various platforms: space born in situ: ARGO, gliders, eulerian observatories, VOS, research ships
5 WP1: Observations Chlorophyll Bio-Argo: ~ profils verticaux depuis 2002 Bio-Argo Year of Bio-Argo profiles on GDAC Global model Oxygen L apport de Bio-Argo: à Evaluation et améliorations des modèles - cycle saisonnier: approfondissement de la MLD, bloom au printemps, max de subsurface, DMC (Depth of Maximum Chloro) - variations interannuelles - Distribution spatiale: passage d'un régime à un autre, Bio-Argo Global model
![Copernicus Marine Environment Monitoring Services (CMEMS) [O1] :](/docs-images/94/119025465/images/6-0.jpg "improve the quality of BGC products distributed by MO as part of")
6 Copernicus Marine Environment Monitoring Services (CMEMS) [O1] : improve the quality of BGC products distributed by MO as part of CMEMS
7 WP2: Development of physical biogeochemical models 2.1 Implementation and validation of online coarsening 2.2 Sensitivity to numerical schemes 2.3 Improvement of the NRT global forecasting system
8 Task 2.1: Implementation and validation of online coarsening
9 WP2: Development of physical biogeochemical models 2.1 Implementation and validation of online coarsening 2.2 Sensitivity to numerical schemes 2.3 Improvement of the NRT global forecasting system => poster by El Moussaoui et al. An overview of BIOgeochemical MERcator (BIOMER) operational system: recent developments & perspectives development of physical biogeochemical models
10 [O2] : extending the set of stochastic perturbations implemented in the modeling system to improve simulated uncertainties over different regions and at depth [O3] : develop and implement core ensemble modeling and assimilation algorithms for biogeochemical near-real-time applications and reanalysis at Mercator Océan [O4] : develop an analysis scheme enabling the assimilation of vertical profiles of measured fluorescence, oxygen and nutrient concentrations
11 WP3: Development and implementation of assimilation systems 3.1 Ensemble coupled NEMO/PISCES modelling system 3.2 Development of an operational ocean color data analysis scheme 3.3 Development of a combined in situ/space data analysis scheme 3.4 Evaluation of assimilative system developments
12 WP3: Development and implementation of assimilation systems (cf. présentation Garnier Florent session Assimilation).
13 WP3: Development and implementation of assimilation systems 3.1 Ensemble coupled NEMO/PISCES modelling system 3.2 Development of an operational ocean color data analysis scheme 3.3 Development of a combined in situ/space data analysis scheme 3.4 Evaluation of assimilative system developments
14 WP3: Development and implementation of assimilation systems 3.1 Ensemble coupled NEMO/PISCES modelling system 3.2 Development of an operational ocean color data analysis scheme 3.3 Development of a combined in situ/space data analysis scheme 3.4 Evaluation of assimilative system developments
15 WP3: Development and implementation of assimilation systems 3.1 Ensemble coupled NEMO/PISCES modelling system 3.2 Development of an operational ocean color data analysis scheme 3.3 Development of a combined in situ/space data analysis scheme 3.4 Evaluation of assimilative system developments
16 WP4: Production of simulations
![WP5: Impact studies [O5] : contribute to the design of the integrated Atlantic observing system by conducting Observing System Simulation](/docs-images/94/119025465/images/17-0.jpg "Experiments (OSSEs) Top panel: remocean NAtl Bio-Argo deployments and profiles.")
17 WP5: Impact studies [O5] : contribute to the design of the integrated Atlantic observing system by conducting Observing System Simulation Experiments (OSSEs) Top panel: remocean NAtl Bio-Argo deployments and profiles. Bottom Panel: density of biogeochemical profiles (reprints from EU FP7 project OSS2015 deliverable n. D43.3). => make use of coupled physical-biogeochemical models for an improved representation of spacetime variability of monitored essential ocean variables, and data assimilation to optimally merge observed and modeled data streams
18 WP6: Model output evaluation and skill assessment WP7: Valorisation 7.1 Provide initial and boundary conditions for coupled physical/biogeochemical simulations at the regional scale 7.2 Provide physical and biogeochemical forcing fields to the mid- and higher-trophic level models SEAPODYM and APECOSM7.3
19 WP7: Task 7.2: provide physical - biogeochemical forcing fields to the mid- and higher-trophic level models SEAPODYM and APECOSM First experiments using model output from GMII, revealed a large bias in circulation along the Equator. These fields needed to be corrected prior to their use as forcing for SEAPODYM. This has a strong impact on the results based on parameter optimisation with catch data (Max. Likelihood Estimation). Skipjack tuna biomass distribution predicted with SEAPODYM Previous version New version Week 7 Sep 1999 Black circles proportional to observed catch New simulations will be used with these models and evaluated through predicted and observed densities of mid- and upper trophic levels
20 National context : prospective de l océanographie opérationnelle European level: Copernicus H2020 AtlantOs International level: Biogeochemical ARGO GODAE Ocean View (Marine Ecosystem Analysis & prediction)
21
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