CLaMS Dataverse

Data sets with regard to the Chemical Lagrangian Model of the Stratosphere (CLaMS)

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 7 of 7 Results

Replication Data for the studies on HCl discrepancy and on total reactive nitrogen redistribution Mar 16, 2022 Grooß, Jens-Uwe, 2022, "Replication Data for the studies on HCl discrepancy and on total reactive nitrogen redistribution", https://doi.org/10.26165/JUELICH-DATA/FBZRVO, Jülich DATA, V1 This data repository provides access to the model data of the study by Grooß et al. (2018) and Ziereis et al. (2022). Grooß et al. investigate the discrepancy between HCl observations in the early Antarctic winter stratosphere and simulations by 3 different models. Ziereis et al...
Replication Data Set for the study on 2020 ozone depletion Feb 18, 2021 Grooß, Jens-Uwe, 2021, "Replication Data Set for the study on 2020 ozone depletion", https://doi.org/10.26165/JUELICH-DATA/KET287, Jülich DATA, V1 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 using simulations of the Chemical Lagrangian Model of the Stratosp...
Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection Nov 20, 2020 Grooß, Jens-Uwe, 2020, "Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection", https://doi.org/10.26165/JUELICH-DATA/ATC1MZ, Jülich DATA, V1 These are trajectory data calculated for the study by Hooghiem et al. (Atmos Chem. Phys. , 2020). In this study, wildfire-influenced airmasses were observed and the trajectories were used to trace back the origin.
traj_BZ2_3d_17090408_17082512.nc Nov 20, 2020 - Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection Network Common Data Form - 33.3 KB - SHA-256: 4f7ce89a44e789735921a27cefb9bbda2a50d4c887cc896c09347b1eb1943859 Trajectory from observation on 4 Sep
traj_BZ2_3d_17090508_17082612.nc Nov 20, 2020 - Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection Network Common Data Form - 33.3 KB - SHA-256: 0adb333fbb3678849ad03416b5e36685e6633f70a4a54465d0354887827a495c Trajectory from observation on 5 Sep
traj_BZ3_3d_17090302_17081212.nc Nov 20, 2020 - Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection Network Common Data Form - 99.7 KB - SHA-256: cf985170b0f1b74bba5738b67f28dc2de1bac372945e3ce1087bdc09e03c2b89 Trajectory from CALIOP Match on 3 Sep
traj_BZ4_3d_17082004_17081212.nc Nov 20, 2020 - Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection Network Common Data Form - 41.1 KB - SHA-256: 9f553a27409522044de9b88318a41a315b2da07c8015a7d2250de486353da98a Trajectory from CALIOP Match on 20 Aug

Replication Data for the studies on HCl discrepancy and on total reactive nitrogen redistribution

Mar 16, 2022

Grooß, Jens-Uwe, 2022, "Replication Data for the studies on HCl discrepancy and on total reactive nitrogen redistribution", https://doi.org/10.26165/JUELICH-DATA/FBZRVO, Jülich DATA, V1

This data repository provides access to the model data of the study by Grooß et al. (2018) and Ziereis et al. (2022). Grooß et al. investigate the discrepancy between HCl observations in the early Antarctic winter stratosphere and simulations by 3 different models. Ziereis et al...

Replication Data Set for the study on 2020 ozone depletion

Feb 18, 2021

Grooß, Jens-Uwe, 2021, "Replication Data Set for the study on 2020 ozone depletion", https://doi.org/10.26165/JUELICH-DATA/KET287, Jülich DATA, V1

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 using simulations of the Chemical Lagrangian Model of the Stratosp...

Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection

Nov 20, 2020

Grooß, Jens-Uwe, 2020, "Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection", https://doi.org/10.26165/JUELICH-DATA/ATC1MZ, Jülich DATA, V1

These are trajectory data calculated for the study by Hooghiem et al. (Atmos Chem. Phys. , 2020). In this study, wildfire-influenced airmasses were observed and the trajectories were used to trace back the origin.

traj_BZ2_3d_17090408_17082512.nc

Nov 20, 2020 - Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection

Network Common Data Form - 33.3 KB - SHA-256: 4f7ce89a44e789735921a27cefb9bbda2a50d4c887cc896c09347b1eb1943859

Trajectory from observation on 4 Sep

traj_BZ2_3d_17090508_17082612.nc

Nov 20, 2020 - Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection

Network Common Data Form - 33.3 KB - SHA-256: 0adb333fbb3678849ad03416b5e36685e6633f70a4a54465d0354887827a495c

Trajectory from observation on 5 Sep

traj_BZ3_3d_17090302_17081212.nc

Nov 20, 2020 - Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection

Network Common Data Form - 99.7 KB - SHA-256: cf985170b0f1b74bba5738b67f28dc2de1bac372945e3ce1087bdc09e03c2b89

Trajectory from CALIOP Match on 3 Sep

traj_BZ4_3d_17082004_17081212.nc

Nov 20, 2020 - Replication Data for: Trajectory Data Set from the study on the 2017 BC wildfire detection

Network Common Data Form - 41.1 KB - SHA-256: 9f553a27409522044de9b88318a41a315b2da07c8015a7d2250de486353da98a

Trajectory from CALIOP Match on 20 Aug

Add Data

Share Dataverse

Link Dataverse

Reset Modifications