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NorCPM sea ice seasonal hindcast, initialised in Jan, Apr, Jul, Oct throughou...
Norwegian Climate Prediction Model sea ice seasonal hindcast, initialised in Jan, Apr, Jul, Oct throughout 1985-2010 with reanalysis using weakly-coupled assimilation of SST and... -
NorCPM sea ice reanalysis using weakly-coupled anomaly assimilation of SST an...
Reanalysis is performed with monthly weakly-coupled anomaly assimilation of SST and T-S profiles and anomaly assimilation of SIC strongly coupled with the ocean, using 30... -
30 member ensemble of NorESM1-ME with CMIP5 historical forcing and RCP8.5 bey...
30 member ensemble generated by spinning up an ensemble of states (sampled from a long preindustrial forcing run) with CMIP5 historical forcing and RCP8.5 beyond 2005. For full... -
Norwegian Climate Prediction Model version 1: reanalysis 1980-2010
The reanalysis is generated by Norwegian Climate Prediction Model (NorCPM, Counillon et al. 2014). NorCPM is a climate prediction system developed for seasonal-to-decadal... -
Norwegian Climate Prediction Model version 1: seasonal and decadal hindcasts ...
Seasonal hindcasts are performed by Norwegian Climate Prediction Model (NorCPM, Counillon et al. 2014). The hindcasts start on the 15th of January, April, July and October each... -
NorCPM output prepare for EPOCASA: no-assimilation historical ensemble
The dataset comprises output prepared for the project EPOCASA from a historical no-assimilation reference experiment with the NorESM1-ME climate model system. The experiment... -
NorCPM ocean seasonal hindcast, initialised in Jan, Apr, Jul, Oct throughout ...
Norwegian Climate Prediction Model sea ice seasonal hindcast, initialised in Jan, Apr, Jul, Oct throughout 1985-2010 with reanalysis using weakly-coupled assimilation of SST and... -
NorCPM ocean reanalysis using weakly-coupled anomaly assimilation of SST and ...
Reanalysis is performed with monthly weakly-coupled anomaly assimilation of SST and T-S profiles and anomaly assimilation of SIC strongly coupled with the ocean, using 30...
