Trajectory data with sensitivities to cloud microphysical parameters ...
The netCDF-4 file "north_south_cluster.nc" contains twenty trajectories that are associated with the extratropical cyclone "Vladiana" which occurred between 22-25 September 2016 over the North Atlantic. The trajectories are selected such that ten start their fastest ascent in the...
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ftdatacite:10.5281/zenodo.8043591 2023-07-23T04:20:39+02:00 Trajectory data with sensitivities to cloud microphysical parameters ... Hieronymus, Maicon Oertel, Annika 2023 https://dx.doi.org/10.5281/zenodo.8043591 https://zenodo.org/record/8043591 unknown Zenodo https://zenodo.org/badge/latestdoi/502860081 https://dx.doi.org/10.5281/zenodo.7636937 https://zenodo.org/badge/latestdoi/502860081 https://dx.doi.org/10.5194/gmd-6-1989-2013 https://dx.doi.org/10.1029/2021ms002849 https://dx.doi.org/10.5194/wcd-1-127-2020 https://dx.doi.org/10.5281/zenodo.8043592 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess trajectory, cloud microphysics, sensitivity analysis dataset Dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.804359110.5281/zenodo.763693710.5194/gmd-6-1989-201310.1029/2021ms00284910.5194/wcd-1-127-202010.5281/zenodo.8043592 2023-07-03T18:50:03Z The netCDF-4 file "north_south_cluster.nc" contains twenty trajectories that are associated with the extratropical cyclone "Vladiana" which occurred between 22-25 September 2016 over the North Atlantic. The trajectories are selected such that ten start their fastest ascent in the south and the north, respectively. From those ten trajectories, five ascend slowly (slantwise), and five ascend fast (convective). "vis_example.nc" are twelve fast ascending trajectories that may be used to showcase different visual analysis methods. The data contains sensitivities of rain mass density (QR) to different parameters of cloud microphysical processes (variables starting with 'd'). The sensitivities are computed with algorithmic differentiation via Hieronymus et al. (2022). The trajectories are taken from a simulation by Oertel et al. (2020) using the NWP model COSMO version 5.1, where the online trajectory scheme by Miltenberger et al. (2013) was applied. ... : The author acknowledges support by the Deutsche Forschungsgemeinschaft (DFG) within the Transregional Collaborative Research Centre TRR165 Waves to Weather, (https://www.wavestoweather.de/), Project Z2 as well as funding from JGU Mainz. ... Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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unknown |
topic |
trajectory, cloud microphysics, sensitivity analysis |
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trajectory, cloud microphysics, sensitivity analysis Hieronymus, Maicon Oertel, Annika Trajectory data with sensitivities to cloud microphysical parameters ... |
topic_facet |
trajectory, cloud microphysics, sensitivity analysis |
description |
The netCDF-4 file "north_south_cluster.nc" contains twenty trajectories that are associated with the extratropical cyclone "Vladiana" which occurred between 22-25 September 2016 over the North Atlantic. The trajectories are selected such that ten start their fastest ascent in the south and the north, respectively. From those ten trajectories, five ascend slowly (slantwise), and five ascend fast (convective). "vis_example.nc" are twelve fast ascending trajectories that may be used to showcase different visual analysis methods. The data contains sensitivities of rain mass density (QR) to different parameters of cloud microphysical processes (variables starting with 'd'). The sensitivities are computed with algorithmic differentiation via Hieronymus et al. (2022). The trajectories are taken from a simulation by Oertel et al. (2020) using the NWP model COSMO version 5.1, where the online trajectory scheme by Miltenberger et al. (2013) was applied. ... : The author acknowledges support by the Deutsche Forschungsgemeinschaft (DFG) within the Transregional Collaborative Research Centre TRR165 Waves to Weather, (https://www.wavestoweather.de/), Project Z2 as well as funding from JGU Mainz. ... |
format |
Dataset |
author |
Hieronymus, Maicon Oertel, Annika |
author_facet |
Hieronymus, Maicon Oertel, Annika |
author_sort |
Hieronymus, Maicon |
title |
Trajectory data with sensitivities to cloud microphysical parameters ... |
title_short |
Trajectory data with sensitivities to cloud microphysical parameters ... |
title_full |
Trajectory data with sensitivities to cloud microphysical parameters ... |
title_fullStr |
Trajectory data with sensitivities to cloud microphysical parameters ... |
title_full_unstemmed |
Trajectory data with sensitivities to cloud microphysical parameters ... |
title_sort |
trajectory data with sensitivities to cloud microphysical parameters ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8043591 https://zenodo.org/record/8043591 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://zenodo.org/badge/latestdoi/502860081 https://dx.doi.org/10.5281/zenodo.7636937 https://zenodo.org/badge/latestdoi/502860081 https://dx.doi.org/10.5194/gmd-6-1989-2013 https://dx.doi.org/10.1029/2021ms002849 https://dx.doi.org/10.5194/wcd-1-127-2020 https://dx.doi.org/10.5281/zenodo.8043592 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.804359110.5281/zenodo.763693710.5194/gmd-6-1989-201310.1029/2021ms00284910.5194/wcd-1-127-202010.5281/zenodo.8043592 |
_version_ |
1772185225818800128 |