In this project we provide output of regionally downscaled experiments for the 20th and 21st century for the Arctic. We use the regionally coupled model MPIOM-REMO-HD and use either reanalysis data or global model output from MPI-ESM as external forcing.
MPIOM (global ocean model): global data, 3-dimensional (40 vertical layers), rotated model grids (high resolution in the Arctic), daily and monthly data
REMO (regional atmosphere model): regional data covering large parts of the Northern hemisphere, 3-dimensiona (27 vertical layers), 6hourly and monthly data
HD (hydrological discharge): horizontal resolution 0.5deg, daily data
Additionally, model output was processed to determine drivers of sea ice in the Laptev Sea and identify potential connection between sea ice and the atmosphere over the adjacent land. The analysis was executed as part of a Master's thesis (Zoé Rehder: Links between sea-ice cover in the Laptev Sea and climatic conditions in a regional climate model) and the statistical methods applied are composites and causal effect networks with a temporal resolution of either daily or monthly means. Both REMO and MPIOM output was utilized. The post-processed data can be also find here.