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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)

Leighton Regayre

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    "description": "<p>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 &quot;The value of remote marine aerosol measurements for constraining radiative forcing uncertainty&quot; are included. Other output from the PPEs can be obtained by contacting the lead author.</p>\n\n<p>The following data are included here:</p>\n\n<ul>\n\t<li>CCN measurement data degraded to match the model-measurement comparison resolution.</li>\n\t<li>Unconstrained and constrained CCN<sub>0.2</sub> 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 90<sup>o</sup>S to 90<sup>o</sup>N at 0<sup>o</sup>E, then continuing Eastward. When combined, these files provide data for each latitude/longitude pair at the N48 spatial resolution.</li>\n\t<li>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.</li>\n\t<li>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.</li>\n\t<li>Compressed files containing global, annual mean RF<sub>aci</sub> and ERF<sub>aci</sub> values for the unconstrained set of one million model variants. The compressed netcdf files contain RF (ERF), RF<sub>aci</sub> (ERF<sub>aci</sub>) and RF<sub>ari</sub> (ERF<sub>ari</sub>) values.</li>\n</ul>", 
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    "title": "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)", 
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Publication date:
August 17, 2020
DOI:
10.5281/zenodo.3988476

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10.5281/zenodo.3988476

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