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Data Assimilation Task Team Workshop (DA-TT)

Met Office, Exeter, 20-22 May 2015


View the sessions/presentations by clicking on the title links:



1.1Welcome and overview of the mission of DA-TT Matt Martin & Kirsten Wilmer-BeckerMet Office, UK


Session 2: Global Data Assimilation Systems

2.1An overview of data assimilation activities at CMCCAndrea StortoCMCC, Itlay
2.2Global 1° 4D-var ocean reanalysis, is it worth the pain? Arthur VidardInria / University of Grenoble, France
2.3Review of the Australian Global Data assimilation system Richard MatearCSIRO, Australia
2.4Recent developments to the FOAM global data assimilation systemMatt MartinMet Office, UK


Session 3: Data Assimilation in Coupled Models

3.1The ECMWF coupled ocean-atmosphere assimilation system Patrick LaloyauxECMWF, UK
3.2Overview of Ocean Data Assimilation Activities in support of the Earth System Prediction Capability at the Naval Research LaboratoryJim CummingsNRL, USA
3.3The Met Office Coupled Atmosphere/Land/Ocean/Sea-Ice Data Assimilation SystemDan LeaMet Office, UK
3.4An assessment of ocean climate reanalysis by the Data Assimilation System of KIOST applying Ensemble Optimal Interpolation Young Ho KimKIOST, South Korea


Session 4: Regional Ocean Data Assimilation Systems

4.1Regional ocean data assimilation system in the Indian-Pacific oceans Changxiang YanIAP-CAS, China
4.2Ensemble data assimilation with a high resolution regional model for the Italian seas Tomislava VukicevicCMCC, Italy
4.3Development of a four-dimensional variational assimilation system in the western North PacificNorihisa UsuiMRI-JMA, Japan
4.4Constraining the mesoscale - how well are we doing?Pavel SakovBureau of Meteorology, Australia
4.5E-Reef Modelling: Assimilation of remotely-sensed reflectance into a coupled hydrodynamic-BGCRichard MatearCSIRO, Australia
4.6A Reanalysis and Near Real-Time Forecasting System in Support of the Central and Northern California Ocean Observing System (CeNCOOS)Andy MooreUCSC, USA


Session 5: Error Covariance Modelling

5.1Representing correlation operators using an implicitly formulated diffusion equation solved with the Chebyshev iteration Anthony WeaverCERFACS, France
5.2An improved data assimilation scheme for the Mediterranean Forecasting system Jenny PistoiaINGV, Italy
5.3Towards an error covariance modeling using ensemble statistics for the Mercator-Ocean reanalysis and forecasting system: application to a regional configurationCharles Emmanuel TestutMercator Ocean, France
5.4Wavelet based representation of observation error covariance Arthur VidardInria/ University of Grenoble, France


Session 6: Model Error and Bias

6.1The bias correction scheme at ECMWF: the good and the not-so-goodMagdalena Alonso BalmasedaECMWF, UK


Session 7: Hybrid Data Assimilation Approaches

7.1Invited talk: Hybrid-DA in NWP – Experience at the Met Office and Elsewhere Andrew LorencMet Office, UK
7.2A general hybrid formulation of the background-error covariance matrix for ensemble variational ocean data assimilation Anthony WeaverCERFACS, France


Session 8: Observation Impact and Sensitivity

8.1Variational data assimilation of open sea and coastal chlorophyll in the Mediterranean Sea operational forecast systemAnna TeruzziOGS, Italy
8.2Observing system experiments over the Atlantic with the REMO ocean data assimilation system into HYCOM Davi MignacREMO-UFBA, Brazil
8.3A High resolution assimilation experiment with dense observations in the coastal ocean west of Sardinia Island (Mediterranean Sea): Sensitivity analysis to error background, assimilated data and external forcingPaolo OddoCMRE
8.4An Analysis of the Impact of the California Current Observing System on 4D-Var Circulation Estimates Spanning three DecadesAndy MooreUCSC, USA


Session 9: Discussion sessions

9.1Discussion session on model errorMagdalena Balmaseda & Matt MartinECMWF, UK & Met Office, UK
9.2Discussion session on observation impacts experimentsPeter Oke & Matt MartinCSIRO, Australia & Met Office, UK




IDSurnameFirst nameAffiliationAbstract title
 1KingRobertMet Office, UKThe impact of Argo on short-term coupled prediction
 2RemyElisabethMercator Ocean, FranceObservation Impact Studies at Mercator Ocean
 3SperrevikAnn KristinNorwegian Meteorological Institute, NorwayImpact of 4D-Var assimilation on transport estimates of pelagic eggs
4WhileJamesMet Office, UKThe New Met Office Diurnal Skin SST Analysis System