Published August 17, 2020 | Version v1
Dataset Open

Data used to create figures in the ACP Letters manuscipt "The value of remote marine aerosol measurements for constraining radiative forcing uncertainty" by Regayre et al. (2020)

  • 1. University of Leeds

Description

This dataset was created from perturbed parameter ensembles (PPEs) using the HadGEM-UKCA atmospheric composition climate model. All data needed to reproduce figures in the Regayre et al. (2020) ACP Letters article "The value of remote marine aerosol measurements for constraining radiative forcing uncertainty" are included. Other output from the PPEs can be obtained by contacting the lead author.

The following data are included here:

  • CCN measurement data degraded to match the model-measurement comparison resolution.
  • Unconstrained and constrained CCN0.2 output from the PPE used to make Figure 1. These compressed files contain 48 .dat files. Each .dat file contains the PPE mean, variance and 95% creidble interval data. Files are named consecutively, containing data from 90oS to 90oN at 0oE, then continuing Eastward. When combined, these files provide data for each latitude/longitude pair at the N48 spatial resolution.
  • A zip file of an netcdf file containing 26-dimensional data for parameter values, used to create the sample of 1 million model variants from our statistical emulators of model output.
  • A zip file containing a folder of files made of one million ones and zeros that indicate the retention/rejection criteria from applying our constraint methodology for various constraint combination scenarios, for each model variant. A value of 1 indicates the model variant was retained. Data in these files is in the same order as the unconstrained sample file of parameter values.
  • Compressed files containing global, annual mean RFaci and ERFaci values for the unconstrained set of one million model variants. The compressed netcdf files contain RF (ERF), RFaci (ERFaci) and RFari (ERFari) values.

Files

CCN0p2_ppe_constrained_apr.zip

Files (294.3 MB)

Name Size Download all
md5:ea830156516562132c69230ed53f90f6
267.5 kB Preview Download
md5:d10c1967c8bd8e1ff4c239e49c0680cb
267.5 kB Preview Download
md5:a79243a56177887f93b45a185382db61
268.0 kB Preview Download
md5:a996a65934ff43da66787959807aa4e1
267.8 kB Preview Download
md5:1b287aec6b545d06a34b49ecb5bdd05b
268.0 kB Preview Download
md5:59b006f49f51ae5e6e9c76fa3ecd08ae
264.6 kB Preview Download
md5:9d042053d0bea90824a7025857092c2e
531.2 kB Preview Download
md5:13a7b355d879c43751b0c711ec09a71b
532.3 kB Preview Download
md5:10ad759ea46cdcbd899f7dc19e22f68e
530.5 kB Preview Download
md5:1db885376452d7530bcdabb4fc674294
532.4 kB Preview Download
md5:c314c4ac89db2fb0da70627d80ba9628
15.5 kB Download
md5:3d25a52da6da903c67303e53be93ded0
49.9 MB Preview Download
md5:639c0851bd12baaeb0fdfd51e5ff8992
42.6 MB Preview Download
md5:f4d5ec23a7589beafeac287ad1ffbca9
197.4 MB Preview Download
md5:1c63d2e6dea68df7b20e615a15431ce0
659.5 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 10.5194/acp-2019-1085 (DOI)

Funding

ACTRIS-2 – Aerosols, Clouds, and Trace gases Research InfraStructure 654109
European Commission
BACCHUS – Impact of Biogenic versus Anthropogenic emissions on Clouds and Climate: towards a Holistic UnderStanding 603445
European Commission
Global Aerosol Synthesis and Science Project (GASSP) to reduce the uncertainty in aerosol radiative forcing NE/J024252/1
UK Research and Innovation
AErosol model RObustness and Sensitivity study for improved climate and air quality prediction (AEROS) NE/G006172/1
UK Research and Innovation
ACID-PRUF NE/I020113/1
UK Research and Innovation