Published April 30, 2020 | Version 1.0

Supporting data for Aquaplanets as a framework for examination of aerosol effects

Authors/Creators

  • 1. National Center for Atmospheric Research

Description

Monthly average data from Community Earth System Model version 2 needed to reproduce analysis in "Aquaplanets as a framework for examination of aerosol effects" (https://dx.doi.org/10.1029/2019MS001874). Each file contains several monthly averaged fields with dimensions of time, latitude, and longitude; some fields also have a vertical level dimension (lev). All simulations used the finite volume dynamical core with a 0.9° latitude by 1.25° longitude grid and 32 vertical hybrid-sigma levels. Files are divided by simulation, with the beginning of the file name indicating the experiment:

  • glb_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions uniformly distributed
  • hemi_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions in northern hemisphere
  • quad_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions in northern hemisphere, 0-90° longitude
  • salt_qpc6_cesm2p1p2.nc -- aquaplanet, no emissions except diagnostic sea-salt
  • trop_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions in tropics (-30°-30° latitude)
  • wedge_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions 0-30° longitude
  • xtrop_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions poleward of 30°
  • PD_emis_qpc6_cesm2p1p2.nc -- aquaplanet, year 2000 emissions
  • PI_emis_qpc6_cesm2p1p2.nc -- aquaplanet, realistic pre-industrial emissions
  • amip_F2000_cesm2.nc -- Earth configuration, year 2000 SST, year 2000 aerosol emissions
  • amip_PI_F2000_cesm2.nc -- Earth configuration, year 2000 SST, pre-industrial aerosol emissions

Files are netCDF4 using compression. They were produced from model-native netCDF3 monthly files using NCO to concatenate months for the selected variables.

Files

Files (31.9 GB)

Name Size
md5:fc16f29fad0a1f6342b9cd557e0305ad
3.0 GB Download
md5:2b49117923799bf92f16857a6d89b360
3.0 GB Download
md5:914671c1d3cf645cdc2667d4f149b713
2.9 GB Download
md5:01317ef2ab49ad9fff0369188118bf9c
2.9 GB Download
md5:27915f3791dc1cc4bdc76d6267ca303b
2.9 GB Download
md5:83e0fb2f33a1c24e3f452a329619925c
2.9 GB Download
md5:45400c9d3a7b8b089f9bfddce6d9335c
2.9 GB Download
md5:c2c88a28e542bd07931777f289d211b3
2.9 GB Download
md5:dc671cbd7078a70363fd1aa58fd9e840
2.9 GB Download
md5:7ee3e2dcde5c0d8c9e2a960ac60b825e
2.9 GB Download
md5:6e1b04a587999a231d98ed847b45937d
2.9 GB Download

Additional details

Related works

Is supplement to
Journal article: 10.1029/2019MS001874 (DOI)