{"data":{"id":"10.4121/30b2f963-16b3-4b9d-a403-ef2f07288c24","type":"dois","attributes":{"doi":"10.4121/30b2f963-16b3-4b9d-a403-ef2f07288c24","prefix":"10.4121","suffix":"30b2f963-16b3-4b9d-a403-ef2f07288c24","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Jurriaan van 't Hoff","nameType":"Personal","givenName":"Jurriaan","familyName":"van 't Hoff","nameIdentifiers":[{"nameIdentifier":"0000-0002-7761-7055","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Volker Grewe","nameType":"Personal","givenName":"Volker","familyName":"Grewe","nameIdentifiers":[{"nameIdentifier":"0000-0002-8012-6783","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Irene C Dedoussi","nameType":"Personal","nameIdentifiers":[{"nameIdentifier":"0000-0002-8966-9469","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Supporting dataset for \"Evaluating the ozone and climate effects of supersonic aircraft fleet design choices using machine learning\""}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2026,"subjects":[{"subject":"Environmental Policy, Legislation and Standards","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9607"},{"subject":"Aerospace Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0901"},{"subject":"Atmospheric Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0401"},{"subject":"Climate and Climate Change","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9603"},{"subject":"Atmosphere and Weather","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9602"},{"subject":"Earth Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"04"},{"subject":"Engineering","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"09"},{"subject":"Environment","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"96"},{"subject":"supersonic aviation"},{"subject":"Radiative Forcing"},{"subject":"Ozone"},{"subject":"machine learning"},{"subject":"GEOS-Chem"},{"subject":"Time: 2057"}],"contributors":[{"name":"TU Delft, Faculty of Aerospace Engineering, Section Operations and Environment","nameType":"Organizational","contributorType":"Other","affiliation":[],"nameIdentifiers":[]},{"name":"Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre","nameType":"Organizational","contributorType":"Other","affiliation":[],"nameIdentifiers":[]},{"name":"University of Cambridge, Faculty of Engineering ","nameType":"Organizational","contributorType":"Other","affiliation":[],"nameIdentifiers":[]}],"dates":[{"date":"2026-10-14","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"References","relatedIdentifier":"https://doi.org/10.5281/zenodo.23078630","relatedIdentifierType":"URL"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/30b2f963-16b3-4b9d-a403-ef2f07288c24.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["netcdf"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset is a supporting dataset for \"Evaluating the ozone and climate effects of supersonic aircraft fleet design choices using machine learning\", accepted for publication in Environmental Data Science. This dataset contains all data necessary to reproduce the results of the publication.\u003cbr\u003eIn this work the GEOS-Chem atmospheric chemistry transport model is used to evaluate the effects of 60 supersonic fleet adoption scenarios on a 2050 atmosphere based on the SSP 3.7 scenario. These scenarios are selected from a wider range of scenarios that is generated using Latin Hypercube Sampling, covering a design space that spans conventional, low-sulfur, and hydrogen fuels alongside a range of cruise altitudes and fuel consumption. The full range of generated emission inventories is provided in \u003cstrong\u003eemission_inventories.zip \u003c/strong\u003ewith supporting information, such as the specifications of the different inventories, being provided in \u003cstrong\u003eemission_inventories.xslx\u003c/strong\u003e. The inventories themselves are provided as netcdf files with their unique identifier (e.g. inv_1.nc4) encoded to the input format expected by the GEOS-Chem model. \u003cbr\u003e Data describing the change in atmospheric states is provided in repositories named \u003cstrong\u003eemis_X.zip\u003c/strong\u003e where X corresponds to the respective number of the emission inventory file. Within each of these repositories there is one year of data (netcdf) that describes the daily average change in volume mixing ratio (vmr) as daily averages for a few key species (\u003cem\u003eGEOSChem.DefaultCollection.YYYYMMDD_0000z.nc\u003c/em\u003e) and as monthly averages for all atmospheric tracers (\u003cem\u003eGEOChem.SpeciesConc.YYYYMMDD_0000z.nc\u003c/em\u003e). The\u003cem\u003e GEOSChem.RRTMG.YYYYMMDD_0000z.nc\u003c/em\u003e files contain three-day averages of global radiative forcing as well as component contributions. The same atmospheric history is also provided for the baseline scenario, which only has subsonic aviation traffic, in the \u003cstrong\u003eemis_noemis.zip\u003c/strong\u003e repository.\u003cbr\u003e\u003cstrong\u003ePlease take note:\u003c/strong\u003e\u003cem\u003e The files provided in \u003c/em\u003e\u003cstrong\u003e\u003cem\u003eemission_inventories.zip\u003c/em\u003e\u003c/strong\u003e\u003cem\u003e include scenarios that were not evaluated in the associated work. These files are provided to allow others to extend this dataset if desired. \u003c/em\u003e\u003cem\u003eThe netcdf files provided in the \u003c/em\u003e\u003cstrong\u003e\u003cem\u003eemis_ \u003c/em\u003e\u003c/strong\u003e\u003cem\u003erepositories have encoded timestamps that range from January 2006 to January 2007. This is a consequence of how the model is run was implemented, and this timestamp is not representative of the atmospheric state. For the correct atmospheric time 50 years have to be added, the data represents atmospheric states of January 2056 to January 2057.\u003c/em\u003e\u003cbr\u003e","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"MORE and LESS (MDO and REgulations for Low-boom Environmentally Sustainable Supersonic aviation) ","funderName":"European Union","awardNumber":"01006856"}],"xml":"<?xml version="1.0" encoding="UTF-8"?>
<resource xmlns="http://datacite.org/schema/kernel-4" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.4/metadata.xsd">
  <identifier identifierType="DOI">10.4121/30B2F963-16B3-4B9D-A403-EF2F07288C24</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Jurriaan van 't Hoff</creatorName>
      <givenName>Jurriaan</givenName>
      <familyName>van 't Hoff</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0000-0002-7761-7055</nameIdentifier>
    </creator>
    <creator>
      <creatorName nameType="Personal">Volker Grewe</creatorName>
      <givenName>Volker</givenName>
      <familyName>Grewe</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0000-0002-8012-6783</nameIdentifier>
    </creator>
    <creator>
      <creatorName nameType="Personal">Irene C Dedoussi</creatorName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0000-0002-8966-9469</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Supporting dataset for "Evaluating the ozone and climate effects of supersonic aircraft fleet design choices using machine learning"</title>
  </titles>
  <publisher>4TU.ResearchData</publisher>
  <publicationYear>2026</publicationYear>
  <resourceType resourceTypeGeneral="Dataset">Dataset</resourceType>
  <subjects>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9607">Environmental Policy, Legislation and Standards</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0901">Aerospace Engineering</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0401">Atmospheric Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9603">Climate and Climate Change</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9602">Atmosphere and Weather</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="04">Earth Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="09">Engineering</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="96">Environment</subject>
    <subject>supersonic aviation</subject>
    <subject>Radiative Forcing</subject>
    <subject>Ozone</subject>
    <subject>machine learning</subject>
    <subject>GEOS-Chem</subject>
    <subject>Time: 2057</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Other">
      <contributorName nameType="Organizational">TU Delft, Faculty of Aerospace Engineering, Section Operations and Environment</contributorName>
    </contributor>
    <contributor contributorType="Other">
      <contributorName nameType="Organizational">Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre</contributorName>
    </contributor>
    <contributor contributorType="Other">
      <contributorName nameType="Organizational">University of Cambridge, Faculty of Engineering </contributorName>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2026-10-14</date>
  </dates>
  <language>en</language>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="References">https://doi.org/10.5281/zenodo.23078630</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.4121/30b2f963-16b3-4b9d-a403-ef2f07288c24.v1</relatedIdentifier>
  </relatedIdentifiers>
  <formats>
    <format>netcdf</format>
  </formats>
  <version>1</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset is a supporting dataset for "Evaluating the ozone and climate effects of supersonic aircraft fleet design choices using machine learning", accepted for publication in Environmental Data Science. This dataset contains all data necessary to reproduce the results of the publication.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;In this work the GEOS-Chem atmospheric chemistry transport model is used to evaluate the effects of 60 supersonic fleet adoption scenarios on a 2050 atmosphere based on the SSP 3.7 scenario. These scenarios are selected from a wider range of scenarios that is generated using Latin Hypercube Sampling, covering a design space that spans conventional, low-sulfur, and hydrogen fuels alongside a range of cruise altitudes and fuel consumption. The full range of generated emission inventories is provided in &lt;strong&gt;emission_inventories.zip &lt;/strong&gt;with supporting information, such as the specifications of the different inventories, being provided in &lt;strong&gt;emission_inventories.xslx&lt;/strong&gt;. The inventories themselves are provided as netcdf files with their unique identifier (e.g. inv_1.nc4) encoded to the input format expected by the GEOS-Chem model. &lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt; Data describing the change in atmospheric states is provided in repositories named &lt;strong&gt;emis_X.zip&lt;/strong&gt; where X corresponds to the respective number of the emission inventory file. Within each of these repositories there is one year of data (netcdf) that describes the daily average change in volume mixing ratio (vmr) as daily averages for a few key species (&lt;em&gt;GEOSChem.DefaultCollection.YYYYMMDD_0000z.nc&lt;/em&gt;) and as monthly averages for all atmospheric tracers (&lt;em&gt;GEOChem.SpeciesConc.YYYYMMDD_0000z.nc&lt;/em&gt;). The&lt;em&gt; GEOSChem.RRTMG.YYYYMMDD_0000z.nc&lt;/em&gt; files contain three-day averages of global radiative forcing as well as component contributions. The same atmospheric history is also provided for the baseline scenario, which only has subsonic aviation traffic, in the &lt;strong&gt;emis_noemis.zip&lt;/strong&gt; repository.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Please take note:&lt;/strong&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;em&gt; The files provided in &lt;/em&gt;&lt;strong&gt;&lt;em&gt;emission_inventories.zip&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; include scenarios that were not evaluated in the associated work. These files are provided to allow others to extend this dataset if desired. &lt;/em&gt;&lt;/li&gt;&lt;li&gt;&lt;em&gt;The netcdf files provided in the &lt;/em&gt;&lt;strong&gt;&lt;em&gt;emis_ &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;repositories have encoded timestamps that range from January 2006 to January 2007. This is a consequence of how the model is run was implemented, and this timestamp is not representative of the atmospheric state. For the correct atmospheric time 50 years have to be added, the data represents atmospheric states of January 2056 to January 2057.&lt;/em&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Union</funderName>
      <awardNumber>01006856</awardNumber>
      <awardTitle>MORE and LESS (MDO and REgulations for Low-boom Environmentally Sustainable Supersonic aviation) </awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>","url":"https://data.4tu.nl/datasets/30b2f963-16b3-4b9d-a403-ef2f07288c24","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2026-10-14T14:11:19.000Z","registered":"2026-10-14T14:11:20.000Z","published":"2026","updated":"2026-10-14T14:11:20.000Z"},"relationships":{"client":{"data":{"id":"delft.data4tu","type":"clients"}},"provider":{"data":{"id":"scpr","type":"providers"}},"media":{"data":{"id":"10.4121/30b2f963-16b3-4b9d-a403-ef2f07288c24","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[{"id":"10.4121/30b2f963-16b3-4b9d-a403-ef2f07288c24.v1","type":"dois"}]}}}}