The ship-based experiment MOSAiC 2019/2020 was carried out during a full year in the Arctic. The data set includes simulation data of profiles and derived data for the MOSAiC period (Oct. 2019-Sept.2020). The regional climate model CCLM was used in a forecast mode (nested in ERA5) for the whole Arctic with 15 km resolution and is run with different configurations of sea ice data. These include the standard sea ice concentration taken from passive microwave data (AMSR2) with around 6 km resolution, and sea ice concentration from Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared data and MODIS sea ice lead data with 1 km resolution for the winter period (Nov. 2019-April 2020). Model output is available every 1h. In the ve...
Climate model results for the Baltic Sea region from an ensemble of eight simulations using the Ross...
Weather Forecasts (ECMWF, Cycle23r4, White (2001)) and the dynamical core from HIRLAM (Undén et al....
International audienceAbstract. Atmospheric reanalyses are valuable datasets for driving ocean–sea i...
The ship-based experiment MOSAiC 2019/2020 was carried out during a full year in the Arctic. The dat...
Regional climate models are a valuable tool for the study of the climate processes and climate chang...
EGU General Assembly 2019The Regional Arctic System Model (RASM) has been developed and used to inve...
This dataset contains six different reconstructions of total Arctic sea ice extent during the Instru...
Climate models like the coupled Arctic atmosphere-ocean-sea ice model HIRHAM-NAOSIM are helpful to g...
Since the beginning of this century, Arctic has experienced a fast decrease in its sea ice extent, e...
As part of the global climate change the Arctic is warming rapidly. The surface energy budget is a c...
International audienceWe analyze simulated sea ice changes in eight different Earth System Models th...
In such a remote and harsh environment as the Arctic, the monitoring of essential climate variables ...
This dataset contains the model configuration files and selected output data of the large-eddy simul...
The representative characteristics of the simulated 20th century North Hemisphere sea ice by the CMI...
At high latitudes, a significant part of the oceans is covered by sea ice that forms when seawater f...
Climate model results for the Baltic Sea region from an ensemble of eight simulations using the Ross...
Weather Forecasts (ECMWF, Cycle23r4, White (2001)) and the dynamical core from HIRLAM (Undén et al....
International audienceAbstract. Atmospheric reanalyses are valuable datasets for driving ocean–sea i...
The ship-based experiment MOSAiC 2019/2020 was carried out during a full year in the Arctic. The dat...
Regional climate models are a valuable tool for the study of the climate processes and climate chang...
EGU General Assembly 2019The Regional Arctic System Model (RASM) has been developed and used to inve...
This dataset contains six different reconstructions of total Arctic sea ice extent during the Instru...
Climate models like the coupled Arctic atmosphere-ocean-sea ice model HIRHAM-NAOSIM are helpful to g...
Since the beginning of this century, Arctic has experienced a fast decrease in its sea ice extent, e...
As part of the global climate change the Arctic is warming rapidly. The surface energy budget is a c...
International audienceWe analyze simulated sea ice changes in eight different Earth System Models th...
In such a remote and harsh environment as the Arctic, the monitoring of essential climate variables ...
This dataset contains the model configuration files and selected output data of the large-eddy simul...
The representative characteristics of the simulated 20th century North Hemisphere sea ice by the CMI...
At high latitudes, a significant part of the oceans is covered by sea ice that forms when seawater f...
Climate model results for the Baltic Sea region from an ensemble of eight simulations using the Ross...
Weather Forecasts (ECMWF, Cycle23r4, White (2001)) and the dynamical core from HIRLAM (Undén et al....
International audienceAbstract. Atmospheric reanalyses are valuable datasets for driving ocean–sea i...