2026-06-02T06:35:55Zhttps://www.radar-service.eu/oai/OAIHandler10.35097/4692025-10-21T06:06:05ZIMKradar4kit
10.35097/469
Diekmann, Christopher J.
Christopher J.
Diekmann
0000-0002-8961-5241
Karlsruhe Institute of Technology (KIT)
de Vries, Andries J.
Andries J.
de Vries
0000-0002-1175-6474
ETH Zurich
Data for "A Lagrangian perspective on stable water isotopes during the West African Monsoon"
Institute of Meteorology and Climate Research, Atmospheric Trace Gases and Remote Sensing (IMK-ASF), Karlsruhe Institute of Technology (KIT)
2020
2021
Geological Science
Atmosphere
Backward trajectories, LAGRANTO, COSMO
West Africa, Monsoon
Atmospheric Composition, H2O, HDO, Water Vapour, Water Vapour Isotopologues
Open Access
Creative Commons Attribution 4.0 International
Christopher J. Diekmann
Matthias Schneider
Karlsruhe Institute of Technology (KIT)
Schneider, Matthias
0000-0001-8452-0035
Karlsruhe Institute of Technology (KIT)
Knippertz, Peter
0000-0001-9856-619X
Karlsruhe Institute of Technology (KIT)
Pfahl, Stephan
0000-0002-9872-6090
FU Berlin
Aemisegger, Franziska
0000-0002-4022-9825
ETH Zurich
Dahinden, Fabienne
ETH Zurich
Erl, Benjamin
0000-0003-1431-2243
Karlsruhe Institute of Technology (KIT)
Khosrawi, Farahnaz
0000-0002-0261-7253
Karlsruhe Institute of Technology (KIT)
Wernli, Heini
0000-0001-9674-4837
ETH Zurich
Braesicke, Peter
Karlsruhe Institute of Technology (KIT)
This dataset contains backward trajectories analyzed in the study "A Lagrangian perspective on stable water isotopes during the West African Monsoon" (Diekmann et al., 2021). The trajectories are based on a COSMOiso simulation provided by Andries J. de Vries (ETH Zurich) and were computed with the tool LAGRANTO (Sprenger and Wernli, 2015).
LAGRANTO COSMOiso
DOI of the corresponding publication (Diekmann et al., 2021)
en
Deutsche Forschungsgemeinschaft
501100001659
290612604
MOTIV
Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg
501100003542
ForHLR supercomputer
Bundesministerium für Bildung und Forschung
501100002347
ForHLR supercomputer
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
501100001711
177996
430,9 MB
application/x-tar