Antarctic continent MAR 6-hourly data
Modèle Atmosphérique Régionale (MAR), was utilized Wille et al. (2019; Nature Geoscience). Each file contains snowfall, run off, surface temperature, sublimation, and melt at six-hour timesteps. A description of MAR from Wille et al. (2019) follows as. "Modèle Atmosphérique Régionale (MAR), a r...
| Main Authors: | , , |
|---|---|
| Format: | Dataset |
| Language: | unknown |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://zenodo.org/record/3362277 https://doi.org/10.5281/zenodo.3362277 |
| Summary: | Modèle Atmosphérique Régionale (MAR), was utilized Wille et al. (2019; Nature Geoscience). Each file contains snowfall, run off, surface temperature, sublimation, and melt at six-hour timesteps. A description of MAR from Wille et al. (2019) follows as. "Modèle Atmosphérique Régionale (MAR), a regional climate model (RCM) run at a 35 x 35 km2 horizontal resolution over the whole Antarctic continent with a 120 second time step and outputs every six hours. The MAR RCM includes the multi-layer snow model Crocus, which calculates meltwater at the surface when it reaches the melting point in combination with a surplus of energy (a deficit results in refreezing). The presence of meltwater alters the snow characteristics, for example the type and size of snow-grains and the albedo. Percolation through the snowpack is determined through a tipping bucket method based on snow density. We use 30 snow or ice layers of variable thickness from the surface to a 20 m depth. This version of MAR has been extensively tested over the Antarctic ice sheet25 and recently utilized by the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE) team." Agosta, C. et al. Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes. The Cryosphere 13, 281–296 (2019). |
|---|