Trajectory data with sensitivities to cloud microphysical parameters
This netCDF-4 file 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 in the north, respectiv...
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ftzenodo:oai:zenodo.org:7639184 2023-05-15T17:32:52+02:00 Trajectory data with sensitivities to cloud microphysical parameters Hieronymus, Maicon Oertel, Annika 2023-02-14 https://zenodo.org/record/7639184 https://doi.org/10.5281/zenodo.7639184 unknown doi:10.5281/zenodo.7636937 https://zenodo.org/badge/latestdoi/502860081 doi:10.5194/gmd-6-1989-2013 doi:10.1029/2021MS002849 doi:10.5194/wcd-1-127-2020 doi:10.5281/zenodo.7639183 https://zenodo.org/record/7639184 https://doi.org/10.5281/zenodo.7639184 oai:zenodo.org:7639184 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode trajectory cloud microphysics sensitivity analysis info:eu-repo/semantics/other dataset 2023 ftzenodo https://doi.org/10.5281/zenodo.763918410.5281/zenodo.763693710.5194/gmd-6-1989-201310.1029/2021MS00284910.5194/wcd-1-127-202010.5281/zenodo.7639183 2023-03-11T02:13:56Z This netCDF-4 file 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 in the north, respectively. From those ten trajectories, there are five that ascend slowly (slantwise), and five that ascend fast (convective). 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 Zenodo |
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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 |
This netCDF-4 file 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 in the north, respectively. From those ten trajectories, there are five that ascend slowly (slantwise), and five that ascend fast (convective). 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 |
publishDate |
2023 |
url |
https://zenodo.org/record/7639184 https://doi.org/10.5281/zenodo.7639184 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
doi:10.5281/zenodo.7636937 https://zenodo.org/badge/latestdoi/502860081 doi:10.5194/gmd-6-1989-2013 doi:10.1029/2021MS002849 doi:10.5194/wcd-1-127-2020 doi:10.5281/zenodo.7639183 https://zenodo.org/record/7639184 https://doi.org/10.5281/zenodo.7639184 oai:zenodo.org:7639184 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.763918410.5281/zenodo.763693710.5194/gmd-6-1989-201310.1029/2021MS00284910.5194/wcd-1-127-202010.5281/zenodo.7639183 |
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1766131166577950720 |