<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.60507/FK2/QMNFKG</identifier><creators><creator><creatorName nameType="Personal">Corbin, Armin</creatorName><givenName>Armin</givenName><familyName>Corbin</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-6256-0949</nameIdentifier><affiliation>University of Bonn</affiliation></creator><creator><creatorName nameType="Personal">Kusche, Jürgen</creatorName><givenName>Jürgen</givenName><familyName>Kusche</familyName><nameIdentifier SchemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-7069-021X</nameIdentifier><affiliation>University of Bonn</affiliation></creator></creators><titles><title>TIE-GCM PDAF 3 Simulation of the 2024 Gannon Geomagnetic Storm Assimilating Mass Densities from the TOLEOS Project</title></titles><publisher>bonndata</publisher><publicationYear>2026</publicationYear><subjects><subject>Earth and Environmental Sciences</subject><subject>Physics</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Corbin, Armin</contributorName><givenName>Armin</givenName><familyName>Corbin</familyName><affiliation>University of Bonn</affiliation></contributor></contributors><dates><date dateType="Created">2026-06-04</date><date dateType="Submitted">2026-07-21</date><date dateType="Updated">2026-09-08</date></dates><resourceType resourceTypeGeneral="Dataset"/><relatedIdentifiers><relatedIdentifier relationType="References" relatedIdentifierType="DOI">10.48565/bonndoc-596</relatedIdentifier><relatedIdentifier relationType="References" relatedIdentifierType="DOI">10.1186/s40623-022-01733-z</relatedIdentifier><relatedIdentifier relationType="References" relatedIdentifierType="DOI">10.1029/2025JA034219</relatedIdentifier><relatedIdentifier relationType="References" relatedIdentifierType="DOI">10.1002/9781118704417.ch7</relatedIdentifier><relatedIdentifier relationType="References" relatedIdentifierType="DOI">10.1029/2004JA010884</relatedIdentifier><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.5281/zenodo.13789628</relatedIdentifier><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.1016/j.cageo.2012.03.026</relatedIdentifier><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.1175/MWR-D-11-00102.1</relatedIdentifier></relatedIdentifiers><sizes><size>26043926689</size><size>78046747</size><size>26076871615</size><size>78235916</size><size>25632848302</size><size>39424752</size><size>23702</size><size>9198398085</size><size>137758918</size></sizes><formats><format>application/x-netcdf</format><format>application/x-netcdf</format><format>application/x-netcdf</format><format>application/x-netcdf</format><format>application/x-netcdf</format><format>application/x-netcdf</format><format>text/markdown</format><format>application/gzip</format><format>application/x-netcdf</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</rights></rightsList><descriptions><description descriptionType="Abstract">Earth’s upper atmosphere is strongly affected by solar and geomagnetic activity and coupling to lower atmospheric layers, which together shape the properties of the rarefied gas encountered by satellites in low Earth orbit. Numerical upper-atmosphere models have limited predictive skill, but data assimilation can improve their simulations by combining them with satellite observations. Here we provide global simulations of the upper atmosphere for the full month of May 2024, including the extreme Gannon geomagnetic storm, as a supplement to a paper describing the TIE-GCM PDAF data assimilation software. The dataset demonstrates the software’s capabilities through a simulation without data assimilation and simulations that assimilate satellite-derived neutral mass densities from GRACE-FO 1 and Swarm-C. It includes gridded estimates of neutral mass density, neutral temperature, and electron density, along with simulated values at higher temporal resolution along the GRACE-FO 1 and Swarm-C satellite orbits and the files needed to reproduce the ensemble setup.</description><description descriptionType="TechnicalInfo">TIE-GCM-PDAF, 3</description></descriptions></resource>