{"dcterms:modified":"2025-11-21","dcterms:creator":"A Dataverse Instance","@type":"ore:ResourceMap","@id":"https://data.fz-juelich.de/api/datasets/export?exporter=OAI_ORE&persistentId=doi:10.26165/JUELICH-DATA/VPHA3R","ore:describes":{"fzj:Institute":"JSC","Title":"AIRS/Aqua Observations of Volcanic Emissions","fzj:PoF III topic":"Computational Science and Mathematical Methods (POF3-511)","fzj:PoF IV topic":"Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-5111)","Alternative URL":"https://datapub.fz-juelich.de/slcs/airs/volcanoes","fzj:Storage Location URL":"https://datapub.fz-juelich.de/slcs/airs/volcanoes","Author":{"author:Name":"Hoffmann, Lars","author:Affiliation":"Forschungszentrum Jülich","Identifier Scheme":"ORCID","Identifier":"0000-0003-3773-4377"},"citation:Contact":{"datasetContact:Name":"Hoffmann, Lars","datasetContact:Affiliation":"Forschungszentrum Jülich","datasetContact:E-mail":"l.hoffmann@fz-juelich.de"},"citation:Description":{"dsDescription:Text":"This data repository provides access to observations of volcanic emissions of the Atmospheric Infrared Sounder (AIRS) aboard NASA's Aqua satellite. Volcanic emissions can be detected from AIRS measurements by means of brightness temperature difference (BTD) methods. Emissions of volcanic sulfur dioxide (SO2) are detected by analyzing a spectral feature in the 7.3 micron waveband. The AIRS channels selected for the detection are most sensitive to SO2 in the upper troposphere and lower stratosphere. Volcanic ash is detected based on the reverse absorption feature at 8.1 and 9.2 microns. This technique allows to effectively discriminate between ash particles and ice, but cannot be used to discriminate between volcanic ash and desert dust. Aqua was launched in May 2002 and is still operating near continuously.","dsDescription:Date":"2021-06-17"},"Subject":["Computer and Information Science","Earth and Environmental Sciences"],"Related Publication":{"Citation":"Lars Hoffmann, Sabine Griessbach, Catrin I. Meyer, \"Volcanic emissions from AIRS observations: detection methods, case study, and statistical analysis,\" Proc. SPIE 9242, Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII, 924214, 2014.","ID Type":"doi","ID Number":"https://doi.org/10.1117/12.2066326"},"Language":"English","Grant Information":{"grantNumber:Grant Agency":"NIC","grantNumber:Grant Number":"slmet"},"citation:Depositor":"Hoffmann, Lars","Deposit Date":"2021-06-17","Time Period Covered":{"timePeriodCovered:Start":"2002-09-01"},"Kind of Data":"satellite data","Software":{"software:Name":"AIRS Code Collection"},"@id":"doi:10.26165/JUELICH-DATA/VPHA3R","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.2","schema:datePublished":"2021-06-22","schema:name":"AIRS/Aqua Observations of Volcanic Emissions","schema:dateModified":"2025-11-21 13:54:51.585","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"Earth System Science","ore:aggregates":[],"schema:hasPart":[]},"@context":{"Alternative URL":"https://schema.org/distribution","Author":"http://purl.org/dc/terms/creator","Citation":"http://purl.org/dc/terms/bibliographicCitation","Deposit Date":"http://purl.org/dc/terms/dateSubmitted","Grant Information":"https://schema.org/sponsor","ID Number":"http://purl.org/spar/datacite/ResourceIdentifier","ID Type":"http://purl.org/spar/datacite/ResourceIdentifierScheme","Identifier":"http://purl.org/spar/datacite/AgentIdentifier","Identifier Scheme":"http://purl.org/spar/datacite/AgentIdentifierScheme","Kind of Data":"http://rdf-vocabulary.ddialliance.org/discovery#kindOfData","Language":"http://purl.org/dc/terms/language","Related Publication":"http://purl.org/dc/terms/isReferencedBy","Software":"https://www.w3.org/TR/prov-o/#wasGeneratedBy","Subject":"http://purl.org/dc/terms/subject","Time Period Covered":"https://schema.org/temporalCoverage","Title":"http://purl.org/dc/terms/title","author":"https://dataverse.org/schema/citation/author#","citation":"https://dataverse.org/schema/citation/","datasetContact":"https://dataverse.org/schema/citation/datasetContact#","dcterms":"http://purl.org/dc/terms/","dsDescription":"https://dataverse.org/schema/citation/dsDescription#","dvcore":"https://dataverse.org/schema/core#","fzj":"https://jugit.fz-juelich.de/fdm/schemas","grantNumber":"https://dataverse.org/schema/citation/grantNumber#","ore":"http://www.openarchives.org/ore/terms/","schema":"http://schema.org/","software":"https://dataverse.org/schema/citation/software#","timePeriodCovered":"https://dataverse.org/schema/citation/timePeriodCovered#"}}