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Technical details: Production machine: Cray XE6 in Bergen (hexagon) Model source: projectEPOCASA-3: atmosphere=CAM4; ocean=MICOM; land=CLM; sea ice=CICE Horizontal resolution: atmosphere/land=1.9x2.5 degree; ocean/sea ice=~1 degree Output frequency: monthly + yearly run on 160 mpi tasks. Use : hybrid start from historical simulation 30 members (N20TREXTAERCN COMPSET) at 1950-01-15; which are initiazed from preindustrial run (N1850; starting date 1500:10:1790). Library: craype-barcelona, craype/2.2.1, cray-libsci/12.1.3, cray-mpich/6.0.2, cray-netcdf/4.3.2, cray-hdf5/1.8.13, pcp, coreutils-cnl). For the assimilation, we use the Detereministic Ensemble Kalman Filter (EnKF-MPI-TOPAZ_Yiguo_no_copy), with 30 members, localisation radius of 1 grid cell with no tapering (STEP); rfactor=2 and kfactor=2, inflation=1, MASK_LANDNEIGHBOUR=.true., aggregation method=.true. (Wang et al. 2016). The full state is updated (u,v,dp,temp,saln,uflx,vflx,outfox,vtflx,usflx,vsflx,pb,ub,vb,ubflx,vbflx,ubflxs,vbflxs,ubcors_p,vbcorhs_p,phi,sealv,ustar,buoyfl) 1 time level (e.g. temp from 1 to 53 and pb from 1 to 1). The observation error variance is inflated by a factor of 8 and gradually decreased over 5 assimilation cycles (5 months). The observations are the SST ensemble mean (10 members) from HadISST2.1.0.0, and the observation error variance is the ensemble spread. We assimilate SST monthly anomaly. 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SST ensemble mean (10 members) from HadISST2.1.0.0, and the observation error variance is the ensemble spread. https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ http://w3id.org/ro/earth-science#Sentence Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly: 1950-2010. https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ http://w3id.org/ro/earth-science#Sentence The Norwegian Climate Prediction model combines the Norwegian Earth System Model version 1 (medium resolution) with the Ensemble Kalman Filter data assimilation method. netcdf 4 format. https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ http://w3id.org/ro/earth-science#TimeReference 1950-2009 https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ http://w3id.org/ro/earth-science#TimeReference 1950-2010 https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ http://w3id.org/ro/earth-science#TimeReference 5 months 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https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#DataResearchObject https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ https://w3id.org/contentdesc#Domain geology https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ https://w3id.org/contentdesc#Domain hydrography https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ https://w3id.org/contentdesc#Domain meteorology https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ https://w3id.org/contentdesc#Domain the economy https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ https://w3id.org/contentdesc#Place Bergen https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Francois Counillon, Ingo Bethke, Noel Keenlyside, Yiguo Wang, Nansen Environmental and Remote Sensing Centre (NERSC), Uni Research Climate (Uni Research Climate), and Geophysical Institute, University of Bergen (GFI/UiB). "Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly : 1950-2010." ROHub. 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Norstore. https://doi.org/10.11582/2016.00002 https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/resources/52dcade4-0edf-4635-b598-b606d39bf172 http://purl.org/dc/terms/rightsHolder Francois Counillon https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/resources/52dcade4-0edf-4635-b598-b606d39bf172 http://purl.org/dc/terms/type Model https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/resources/52dcade4-0edf-4635-b598-b606d39bf172 http://schema.org/author mailto:georgehadib@gmail.com https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/resources/52dcade4-0edf-4635-b598-b606d39bf172 http://schema.org/contentUrl https://archive.sigma2.no/pages/public/datasetDetail.jsf?id=10.11582/2016.00002 https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/resources/52dcade4-0edf-4635-b598-b606d39bf172 http://schema.org/creator mailto:georgehadib@gmail.com https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/resources/52dcade4-0edf-4635-b598-b606d39bf172 http://schema.org/dateCreated 2016-09-15 00:00:00 https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/resources/52dcade4-0edf-4635-b598-b606d39bf172 http://schema.org/dateModified 2022-03-22 01:17:29.644662+00:00 https://w3id.org/ro-id/bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73/resources/52dcade4-0edf-4635-b598-b606d39bf172 http://schema.org/description The Norwegian Climate Prediction model combines the Norwegian Earth System Model version 1 (medium resolution) with the Ensemble Kalman Filter data assimilation method. netcdf 4 format. Technical details: Production machine: Cray XE6 in Bergen (hexagon) Model source: projectEPOCASA-3: atmosphere=CAM4; ocean=MICOM; land=CLM; sea ice=CICE Horizontal resolution: atmosphere/land=1.9x2.5 degree; ocean/sea ice=~1 degree Output frequency: monthly + yearly run on 160 mpi tasks. Use : hybrid start from historical simulation 30 members (N20TREXTAERCN COMPSET) at 1950-01-15; which are initiazed from preindustrial run (N1850; starting date 1500:10:1790). Library: craype-barcelona, craype/2.2.1, cray-libsci/12.1.3, cray-mpich/6.0.2, cray-netcdf/4.3.2, cray-hdf5/1.8.13, pcp, coreutils-cnl). For the assimilation, we use the Detereministic Ensemble Kalman Filter (EnKF-MPI-TOPAZ_Yiguo_no_copy), with 30 members, localisation radius of 1 grid cell with no tapering (STEP); rfactor=2 and kfactor=2, inflation=1, MASK_LANDNEIGHBOUR=.true., aggregation method=.true. (Wang et al. 2016). The full state is updated (u,v,dp,temp,saln,uflx,vflx,outfox,vtflx,usflx,vsflx,pb,ub,vb,ubflx,vbflx,ubflxs,vbflxs,ubcors_p,vbcorhs_p,phi,sealv,ustar,buoyfl) 1 time level (e.g. temp from 1 to 53 and pb from 1 to 1). The observation error variance is inflated by a factor of 8 and gradually decreased over 5 assimilation cycles (5 months). The observations are the SST ensemble mean (10 members) from HadISST2.1.0.0, and the observation error variance is the ensemble spread. We assimilate SST monthly anomaly. 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