Alternate identifier:
-
Related identifier:
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Creator/Author:
Diekmann, Christopher J. https://orcid.org/0000-0002-8961-5241 [Karlsruhe Institute of Technology (KIT)]

Schneider, Matthias https://orcid.org/0000-0001-8452-0035 [Karlsruhe Institute of Technology (KIT)]

Ertl, Benjamin https://orcid.org/0000-0003-1431-2243 [Karlsruhe Institute of Technology (KIT)]
Contributors:
(Researcher)
Dahinden, Fabienne [ETH Zurich]
Title:
Data for "Disentangling different moisture transport pathways over the eastern subtropical North Atlantic using multi-platform isotope observations and high-resolution numerical modelling"
Additional titles:
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Description:
(Abstract) 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).
Keywords:
Remote Sensing, Satellite
Metop, IASI, MUSICA
Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues
Related information:
-
Language:
English
Publishers:
Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)
Production year:
Subject areas:
Geological Science
Atmosphere
Resource type:
Dataset
Data source:
(Observation) Metop IASI
Software used:
-
Data processing:
-
Publication year:
Rights holders:
Christopher J. Diekmann

Matthias Schneider

Benjamin Ertl

Karlsruhe Institute of Technology (KIT)
Funding:
Deutsche Forschungsgemeinschaft - (MOTIV) 290612604
Deutsche Forschungsgemeinschaft - (TEDDY) 416767181
European Research Council - (MUSICA)(ERC Grant Agreement number 256961)
Ministerio de Economía y Competitividad - (INMENSE)(CGL2016-80688-P)
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg - (ForHLR supercomputer)
Bundesministerium für Bildung und Forschung - (ForHLR supercomputer)
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Status:
Published
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Archiving date:
2021-10-01
Archive size:
1.1 GB
Archive creator:
54140ae6222d5f8ee08f1374c7e5783c
Archive checksum:
f771c30be9369eea574ab3f10c363fea (MD5)
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