Data Sets from the Chemical Lagrangian Model of the Stratopshere (CLaMS)
Introduction
This data repository provides access to various data sets derived from simulations of the Chemical Lagrangian Model of the Stratopshere (CLaMS). The model CLaMS was developed in Jülich. Detailed information about the model CLaMS can be found on the CLaMS wiki pages here.
Example from one of the first CLaMS simulations and comparison with observations:
N2O mixing ratios simulated by CLaMS (left) and corresponding observations
by the CRISTA satellite experiment (right). Note the airmasses that originated from
the polar vortex marked with A and B.
Image: Figs. 6 and 9a from McKenna et al., 2002 (doi:10.1029/2000JD000114)
Data access
Access is provided to data of the following studies:
Simulation of the record Arctic stratospheric ozone depletion in 2020
This data repository provides access to the model data of the study by Grooß and Müller submitted to JGR (2020). In this study, the unprecedented Arctic stratospheric ozone loss in the winter 2019/2020 is examined.
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Wildfire smoke in the lower stratosphere identified by in situ CO observation
This data repository provides access to the trajectory data calculated for the study by Hooghiem et al. in Atmos Chem. Phys. (2020). In this study, wildfire-influenced airmasses were found in AirCore measurements over Sodankylä (Finland) that could be traced back to a wildfire in British Columbia (Canada) in August 2017.
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Model Data Sets on HCl Discrepancy
This data repository provides access to the model data of the study by Grooß et al. (2018). In this study, a discrepancy between model simulations and observations of HCl in the dark polar stratosphere is investigated.
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Model data set on rapid net HCl formation in the Antarctic spring
This data repository provides access to the model data of the study by Lehmann et al., submitted to the Journal of Atmospheric Chemistry (2021). In this study the rapid net HCl formation in the Antarctic spring stratosphere is examined.
accessLegal notes
The data sets provided on this site are licensed under a Creative Commons Attribution 4.0 International License. You are free to share the material in any medium or format and adapt it for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. The licensor cannot revoke these freedoms as long as you follow the license terms. The data are distributed in the hope that it will be useful, but without any warranty. Please follow the link to see the terms and conditions of the license:
We kindly ask to contact the authors, if you use these data.
Contact
Please do not hesitate to contact us if you have any further questions:
Dr. Jens-Uwe Grooß
Institut für Energie- und Klimaforschung, IEK-7
Forschungszentrum Jülich
52425 Jülich
Germany
e-mail: j.-u.grooss@fz-juelich.de
