DOE ARM MOSAiC Campaign Model Simulations using EAMv2
Description
The dataset in this repository contains the results of the EAMv2 simulation for the DOE ARM MOSAiC field campaigns. These results were used to compare with MOSAiC shipborne remote sensing observations in the Singh et al. (2025) paper entitled "Investigation of Arctic Cloud Properties and Surface Radiation based on MOSAiC Shipborne Observations". EAMv2_MOSAiC.zip: This folder contains EAMv2 simulation results for the MOSAiC campaign between 2019-10 and 2020-09. It contains 72 vertical levels and monthly average values of model grid points that are nearest to the ship locations. All of the model variables used in the analysis of Singh et al. (2025), such as shortwave and longwave surface radiation, are included in this dataset. EAMv2_MOSAiC_70N.zip: This folder contains EAMv2 simulation results for the MOSAiC campaign between 2019-10 and 2020-09. It contains 72 vertical levels and monthly average values of model grid points that are between 70N and 90N, and all longitudes. All of the model variables used in the analysis of Singh et al. (2025), such as shortwave and longwave surface radiation, are included in this dataset.
Files
Institutions
- San Jose State University