Published May 14, 2020 | Version 1.0
Dataset Open

Data for "Seasonal cycle of idealized polar clouds: large eddy simulations driven by a GCM"

  • 1. ROR icon Johns Hopkins University
  • 2. ROR icon California Institute of Technology
  • 3. PNNL
  • 4. UCSD

Description

We provide data sets used to produce results in the paper "Seasonal cycle of idealized polar clouds: large eddy simulations driven by a GCM". Data sets include GCM forcing files, ensemble mean LES output files, and offline RRTMG (radiative transfer) files. Update 2021-10-01: Rerun offline RRTMG for cloud liquid + ice and liquid-only cases, then calculated the ensemble average of radiative fluxes

Files

Files (182.9 MB)
Name Size
md5:aae94ce92fc30ee840ad661f8bcdb71b
120.1 MB Download
md5:7396f467f640d8a4ac68c3f3d35d7018
5.6 MB Download
md5:a1845e0a13b93761c47e3e0d3a4f3886
12.9 MB Download
md5:b458e80ecfc20a2939ad0844c5b8be1c
5.6 MB Download
md5:1c078d0db68d42b41a3396d60c6538a3
12.9 MB Download
md5:69a8e7cbb4cadfcfab967b23339ed21b
12.9 MB Download
md5:a9d52a7bf0e11c8558674536ffe84d94
12.9 MB Download

Other

Related Publication: Seasonal cycle of idealized polar clouds: large eddy simulations driven by a GCM eng

Additional details

Created:
September 8, 2022
Modified:
November 18, 2022