Simulated Sea Ice and Snow Thickness along the MOSAIC drift trajectory, from AWI-CM-1 and AWI-CM-3 nudged simulations. ...

Sea ice thickness and snow (on sea ice) thickness from nudged simulations performed using the coupled climate models AWI-CM-1 (zonal wavenumber truncated at 20) and AWI-CM-3 (T20 truncation; Pithan et al., 2023) with a 1h relaxation time. The model data is collocated to the drift trajectory of the M...

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Bibliographic Details
Main Authors: Athanase, Marylou, Sanchez Benitez, Antonio
Format: Dataset
Language:unknown
Published: Zenodo 2023
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Online Access:https://dx.doi.org/10.5281/zenodo.10091122
https://zenodo.org/doi/10.5281/zenodo.10091122
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Summary:Sea ice thickness and snow (on sea ice) thickness from nudged simulations performed using the coupled climate models AWI-CM-1 (zonal wavenumber truncated at 20) and AWI-CM-3 (T20 truncation; Pithan et al., 2023) with a 1h relaxation time. The model data is collocated to the drift trajectory of the Multidisciplinary Drifting Observatory for the Study of the Arctic Climate (MOSAIC) across the Arctic Ocean, from 01 September 2019 until 31 August 2020. The collocation is done daily, by finding all model grid cells within the area covered by the distributed network of snow and sea ice measuring instruments deployed and maintained during MOSAIC. The sea ice and snow thickness is then spatially averaged for each day. Data is provided in three .nc files for each model and variable (m_ice for sea ice thickness, m_snow for snow thickness) representing ensemble members 1 to 3. ... : This work was supported by funding and resources from Helmholtz Research Field Earth & Environment for the Innovation Pool Project SCENIC. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID ba1264. We thank Sebastian Rast (MPI-M) for support with the spectral nudging in ECHAM, and the ESM-Tools (Barbi et al. 2021) staff for their assistance during the simulations. ...