Dataset Open Access
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<subfield code="z">md5:f4d5ec23a7589beafeac287ad1ffbca9</subfield> <subfield code="u">https://zenodo.org/record/3988476/files/million_model_variant_sample_parameter_values.zip</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">659482</subfield> <subfield code="z">md5:1c63d2e6dea68df7b20e615a15431ce0</subfield> <subfield code="u">https://zenodo.org/record/3988476/files/Retain_reject_criteria_from_applying_constraints.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2020-08-17</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="o">oai:zenodo.org:3988476</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">University of Leeds</subfield> <subfield code="0">(orcid)0000-0003-2699-929X</subfield> <subfield code="a">Leighton Regayre</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">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)</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">654109</subfield> <subfield code="a">Aerosols, Clouds, and Trace gases Research InfraStructure</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">603445</subfield> <subfield code="a">Impact of Biogenic versus Anthropogenic emissions on Clouds and Climate: towards a Holistic UnderStanding</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">NE/J024252/1</subfield> <subfield code="a">Global Aerosol Synthesis and Science Project (GASSP) to reduce the uncertainty in aerosol radiative forcing</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">NE/G006172/1</subfield> <subfield code="a">AErosol model RObustness and Sensitivity study for improved climate and air quality prediction (AEROS)</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">NE/I020113/1</subfield> <subfield code="a">ACID-PRUF</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><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> <p>The following data are included here:</p> <ul> <li>CCN measurement data degraded to match the model-measurement comparison resolution.</li> <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> <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> <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> <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> </ul></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isCitedBy</subfield> <subfield code="a">10.5194/acp-2019-1085</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.3988475</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.3988476</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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