A year in LES: Standardized daily high-resolution Large Eddy Simulations of the Arctic boundary layer and clouds during the MOSAiC drift [Model Configuration and results]

• Main Author: Schnierstein, Niklas
• Other Authors: Chylik, Jan, Shupe, Matthew, Neggers, Roel
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2024
• Subjects: Climate change
• Online Access: https://doi.org/10.5281/zenodo.10491362

This dataset contains the model configuration files and selected output data of the large-eddy simulation experiments as described in the publication "A year in LES: Standardized daily high-resolution Large Eddy Simulations of the Arctic boundary layer and clouds during the MOSAiC drift " being submitted to Journal of Advances in Modeling Earth Systems (JAMES). We gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -- Projektnummer 268020496 -- TRR 172, within the Transregional Collaborative Research Center ''ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC3) ''. Matthew D. Shupe was supported by the NOAA Global Ocean Monitoring and Observing Program (FundRef https://doi.org/10.13039/100018302), the Physical Sciences Laboratory (NA22OAR4320151), and a Mercator Fellowship with AC3. ERA5 data was downloaded from the Copernicus Climate Change Service (C3S) (2023). The results contain modified Copernicus Climate Change Service information 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. We gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for providing computing time on the GCS Supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under projects VIRTUALLAB and RCONGM. We furthermore thank the Regional Computing Center of the University of Cologne (RRZK) for providing computing time on the DFG-funded (Funding number: INST 216/512/1FUGG) High-Performance Computing (HPC) system CHEOPS as well as support. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID 1339. Data used in this manuscript were produced as part of the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) with the tag MOSAiC20192020. We thank all persons involved in the expedition of the ...