Combining observational data and numerical simulations for seasonal cycle of snow and ice mass balance at MOSAiC: scripts, input datasets and model output

This is a combined repository of:

1) Python scripts to generate model input from observational data (tools), 

2) model input from observational data (input)

3) model output (results)

4) Python scripts for output visualization (tools)

These scripts and data and simulations were used in:

Itkin, P. and Liston, G. E.: Combining observational data and numerical models to obtain a seamless high temporal resolution seasonal cycle of snow and ice mass balance at the MOSAiC Central Observatory, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3402, 2024. 

The source observational data is published in several PANGEA repositories as documented in the paper. All the data was collected at the MOSAiC expedition (https://mosaic-expedition.org/) between October 2019 and July 2020.

The numerical model code is documented in:

Mower, R., Gutmann, E. D., Liston, G. E., Lundquist, J., and Rasmussen, S.: Parallel SnowModel (v1.0): a parallel implementation of a distributed snow-evolution modeling system (SnowModel), Geosci. Model Dev., 17, 4135–4154, https://doi.org/10.5194/gmd-17-4135-2024, 2024.

and the numerical model code is published in: rmower90. (2024). NCAR/Parallel-SnowModel: Parallel-SnowModel (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.11168392