Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly : 1950-2010 ...
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=CAM...
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Online Access: | https://dx.doi.org/10.11582/2016.00002 https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2016.00002 |
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ftdatacite:10.11582/2016.00002 2023-08-27T04:11:54+02:00 Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly : 1950-2010 ... Counillon, Francois Keenlyside, Noel Wang, Yiguo Nansen Environmental And Remote Sensing Center Geophysical Institute, University Of Bergen Uni Research Climate Bjerknes Centre For Climate Research Bethke, Ingo 2016 https://dx.doi.org/10.11582/2016.00002 https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2016.00002 unknown Norstore Natural sciences FOS Natural sciences Earth science Geophysics FOS Earth and related environmental sciences dataset Model, Raw Dataset 2016 ftdatacite https://doi.org/10.11582/2016.00002 2023-08-07T14:24:23Z 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, ... : 69564 Hierarchical Data Format (version 5) data, totaling ...... 549.68 GB ... Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) Bergen |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Natural sciences FOS Natural sciences Earth science Geophysics FOS Earth and related environmental sciences |
spellingShingle |
Natural sciences FOS Natural sciences Earth science Geophysics FOS Earth and related environmental sciences Counillon, Francois Keenlyside, Noel Wang, Yiguo Nansen Environmental And Remote Sensing Center Geophysical Institute, University Of Bergen Uni Research Climate Bjerknes Centre For Climate Research Bethke, Ingo Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly : 1950-2010 ... |
topic_facet |
Natural sciences FOS Natural sciences Earth science Geophysics FOS Earth and related environmental sciences |
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, ... : 69564 Hierarchical Data Format (version 5) data, totaling ...... 549.68 GB ... |
format |
Dataset |
author |
Counillon, Francois Keenlyside, Noel Wang, Yiguo Nansen Environmental And Remote Sensing Center Geophysical Institute, University Of Bergen Uni Research Climate Bjerknes Centre For Climate Research Bethke, Ingo |
author_facet |
Counillon, Francois Keenlyside, Noel Wang, Yiguo Nansen Environmental And Remote Sensing Center Geophysical Institute, University Of Bergen Uni Research Climate Bjerknes Centre For Climate Research Bethke, Ingo |
author_sort |
Counillon, Francois |
title |
Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly : 1950-2010 ... |
title_short |
Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly : 1950-2010 ... |
title_full |
Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly : 1950-2010 ... |
title_fullStr |
Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly : 1950-2010 ... |
title_full_unstemmed |
Norwegian Climate Prediction Model reanalysis with assimilation of SST anomaly : 1950-2010 ... |
title_sort |
norwegian climate prediction model reanalysis with assimilation of sst anomaly : 1950-2010 ... |
publisher |
Norstore |
publishDate |
2016 |
url |
https://dx.doi.org/10.11582/2016.00002 https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2016.00002 |
geographic |
Bergen |
geographic_facet |
Bergen |
genre |
Sea ice |
genre_facet |
Sea ice |
op_doi |
https://doi.org/10.11582/2016.00002 |
_version_ |
1775355561297051648 |