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Presentations - DATT2020

 

Oral and poster presentations

Cerfacs, Toulouse, France, 20-22 January 2020

4th DA-TT meeting

 

View the sessions/presentations by clicking on the internal link below (for files larger than 10 MB size is shown):

 

Welcome and overview presentations

NoTitlePresenterAffiliationCountry
0.1Practical_Information_DA-TTAnthony WeaverCerfacsFrance

 

Session 1: Data assimilation system developments: global, regional and coastal

NoPresentation titlePresenterAffiliationCountry
1.1Marine data assimilation developments at ECMWFMarcin ChrustECMWFUK
1.2Japanese Coastal Ocean Monitoring and Forecasting System: system configuration and reanalysis experimentNorihisa UsuiMeteorological Research Institute / Japan Meteorological AgencyJapan
1.3NorShelf: An ocean prediction system for the Norwegian coastal and shelf seasAnn Kristin SperrevikMET NorwayNorway
1.4Generalized Four-Dimensional Variational Data Assimilation for Ocean ModelingHans NgodockNRLUS
1.5Operational implementation of NCOM-4DVARHans NgodockNRLUS
1.6Satellite altimetry impact on coastal currents in the US West Coast Operational Forecast System (WCOFS)Alexander KurapovNOAAUSA
1.7Application of data assimilation in Chinese global operational oceanography forecasting systemYinghao QinNational Marine Environmental Forecasting Center (NMEFC)China

 

Session 2: Ensembles: their generation, assessment, and use in ocean data assimilation

NoPresentation titlePresenterAffiliationCountry
2.1Design and performance of global, coupled, ocean-eddy resolving ensemble reanalysis and forecast systemSergey FrolovCIRES/ESRL/NOAAUnited States
2.2Development of a global ocean and sea-ice ensemble system at the Met OfficeMatthew MartinMet OfficeUK
2.3Towards an Ensemble Prediction System at Mercator Ocean InternationalGiovanni RuggieroMercator Ocean InternationalFrance
2.4Towards pan-Arctic Ocean bio-geochemistry reanalysis by EnKS data assimilation systemTsuyoshi WakamatsuThe Nansen CenterNorway
2.5How predictable are the mesoscale eddies when assimilating altimeter data?Jiping XieNansen Environmental and Remote Sensing CenterNorway
2.6Block methods for solving an ensemble of data assimilationsYann MichelCNRM, Meteo France and CNRSFrance
2.7Computing optimal empirical covariance matrices from multi-ensembles with application to ensemble-based Kalman filters - This presentation covers work in progress and is not yet availableEhouarn SimonUniversity of Toulouse, INP, IRITFrance

 

Session 3: Algorithm development in support of data assimilation

NoPresentation titlePresenterAffiliationCountry
3.1BUMP, a generic package for background error covariance modeling (~ 28MB)Benjamin MenetrierIRIT, ToulouseFrance
3.2Modelling spatially correlated observation errors in variational data assimilation using a diffusion operator on an unstructured meshOliver GuilletMeteo FranceFrance
3.3Normalization of diffusion-based covariance operatorsAnthony WeaverCERFACSFrance
3.4A multigrid tour of ocean DAArthur VidardInriaFrance

Session 4: Hybrid data assimilation methods

NoPresentation titlePresenterAffiliationCountry
4.1Exploring the use of Ensembles Forecasts for Hybrid Background Error in an Operational Global Ocean Prediction SystemGreg SmithECCCCanada
4.2Initial experiences in using ensemble information in data assimilation with the Met Office ocean forecasting (FOAM) systemDaniel LeaMet OfficeUK
4.3Toward background error covariance hybridization for climate predictionSebastian BarthelemyUiB BCCRNorway

 

Session 5: Coupled data assimilation

NoPresentation titlePresenterAffiliationCountry
5.1Coupled covariances in the global eddy-resolving, coupled ensemble simulationSergey FrolovCIRES/ESRL/NOAAUnited States
5.2Coupled Ensemble Data Assimilation with the climate model AWI-CMLars NergerAlfred Wegener InstituteGermany

 

Session 6: Use of novel observations and improved use of existing observations

NoPresentation titlePresenterAffiliationCountry
6.1Observation SynergiesAndy MooreUC Santa CruzUSA
6.2Assimilation of new multi-platform observations to improve the representation of ecosystem state on the North-West European ShelfJozef SkakalaPlymouth Marine LaboratoryUnited Kingdom
6.3Impact of BGC-Argo data assimilation to the Mediterranean biogeochemical forecast systemAnna TeruzziOGSItaly
6.4Improving sea ice thickness estimates by assimilating CryoSat-2 and SMOS sea ice thickness dataCharles-Emmanuel TestutMercator Ocean InternationalFrance
6.5Optimal Assimilation of Daytime SST Retrievals from SEVIRI in a Regional Ocean Prediction SystemPaolo OddoCMREItaly

 

Task Team meeting presentations

NoTitlePresenterAffiliationCountry
7.1DA-TT Business meetingAndy MooreUCSCUSA

 

 

POSTERS

Session/ID
Poster titlePresenterAffiliationCountry
S1 / P.1Ocean data assimilation systems in the Canadian Center for Meteorological and Environmental PredictionKamel ChikharMeteorological Service of Canada, ECCCCanada
S1 / P.2Assimilation of SST data in BSH operational circulation model for the North Sea and Baltic Sea: recent implementation and resultsXin LiFederal Maritime and Hydrographic Agency of GermanyGermany
S2 / P.3Generation, Consistency and Reliability of Physical and Biogeochemical Ensemble-based Uncertainties at Regional ScalesBenedicte Lemieux-DudonLEGOSFrance
S2 / P.4A high order sampling method for data assimilationSimone SpadaOGSItaly
S3 / P.5A Reduced Order Deep Data Assimilation for Computational Fluid Dynamics forecastCesar Quilodran CasasImperial College LondonUK
S3 / P.6Convergence aspects of variational data assimilation in the presence of correlated observation errorsOlivier GouxCerfacsFrance
S5 / P.7SST analysis for coupled atmosphere-ocean-ice data assimilation in the Canadian global prediction systemSergey SkachkoECCCCanada
S6 / P.8Assimilation of ocean-colour phytoplankton functional types to improve the reanalysis and prediction of ocean ecosystem modelsStefano CiavattaPMLUK