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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Bibliographic Details
Main Authors: 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
Format: Dataset
Language:unknown
Published: Norstore 2016
Subjects:
Online Access:https://dx.doi.org/10.11582/2016.00002
https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2016.00002
Description
Summary: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 ...