Data for "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling"

DOI

This is the MUSICA IASI dataset of {H2O, dD} pairs used for the publication "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling" (Dahinden et al., 2021, https://doi.org/10.5194/acp-2021-269). It includes the MUSICA IASI {H2O, dD} pair results over Tenerife for the period July - August 2013. Information about the MUSICA IASI dataset can be found in Diekmann et al. (2021, https://doi.org/10.5194/essd-2021-87).

Metop IASI

Identifier
DOI https://doi.org/10.35097/492
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/492
Provenance
Creator Diekmann, Christopher J. ORCID logo; Schneider, Matthias ORCID logo; Ertl, Benjamin ORCID logo
Publisher Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)
Contributor RADAR
Publication Year 2021
Funding Reference Deutsche Forschungsgemeinschaft 501100001659 Crossref Funder ID 290612604 https://gepris.dfg.de/gepris/projekt/290612604 MOTIV; Deutsche Forschungsgemeinschaft 501100001659 Crossref Funder ID 416767181 https://gepris.dfg.de/gepris/projekt/416767181 TEDDY; European Research Council 501100000781 Crossref Funder ID ERC Grant Agreement number 256961 MUSICA; Ministerio de Economía y Competitividad 501100003329 Crossref Funder ID CGL2016-80688-P INMENSE; Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg 501100003542 Crossref Funder ID ForHLR supercomputer; Bundesministerium für Bildung und Forschung 501100002347 Crossref Funder ID ForHLR supercomputer
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/x-tar
Discipline Fine Arts, Music, Theatre and Media Studies; Humanities; Music