-
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... -
Norwegian Climate Prediction Model reanalysis with assimilation of SST anomal...
The Norwegian Climate Prediction Model (NorCPM) is aiming at providing prediction from seasonal-to-decadal time scale. It is based on the Norwegian Earth System Model (NorESM)... -
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... -
Umiujaq soil vegetation
All sampling sites were near 56.56° N, 76.48° W. The objective was to quantify the impact of shrub (Betula glandulosa) growth on lichen tundra on terrestrial carbon stocks... -
Extreme wind and five-day precipitation dataset based on Euro-CORDEX regional...
This dataset contains the return levels and parameters of the GEV and GPD extreme value distributions fitted to maximum surface daily wind speed and 5-day precipitation for... -
GODAE Arctic Class4 metrics
Validation results of 7 international Ocean forecasting systems in the period 2018-2021 in the Arctic. -
Arctic Ocean and Sea-ice Reanalysis from TOPAZ4 (1991-2018)
A data-assimilative reanalyses of ocean and sea ice in the Arctic are composed of 3D daily and monthly mean fields of temperature, salinity, sea surface height, zonal velocity,... -
Supermodel ocean connected
Supermodel experiments. The data sets contains two experiments, 1 with the unconnected model run from 1980-2021 and another one with connected earth system models via their SST... -
NERSC Arctic Sea Ice Observing System
Daily ice maps and statistics in the Arctic region since 1978 until present. -
Arctic sea ice simulations from TOPAZ4 assimilating SMOS-Ice
This dataset contains the TOPAZ simulations for the two assimilation runs in the two time period of 2014. Details can be found in the paper: doi:10.5194/tc-2016-112. -
Observations and ensemble statics of the TOPAZ4 reanalysis of 1991-2013
This dataset is collective static information outputted by the TOPAZ4 reanalysis in 1991-2013. They include the assimilated observations and the concerned optimization... -
NorCPM ensemble hindcasts
We use a reanalysis and hindcast dataset from NorCPM, which combines the Norwegian Earth system model (Bentsen et al. 2013) and an ensemble Kalman filter (Evensen 2003). This... -
Land Surface Feature Classification from TerraSAR-X, 2013, Barrow, Alaska (US)
Land surface features (water, wetland, tundra, and bare surfaces) were classified from TerraSAR-X with a resolution of 5 m for the period of July and August 2013. The product is... -
Land Surface Feature Classification from TerraSAR-X, 2016, Hershel Island, Be...
Land surface features (water, wetland, tundra, and bare surfaces) were classified from TerraSAR-X with a resolution of 5 m for August 2016. The product is based on the...