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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Main Authors: Hieronymus, Maicon, Oertel, Annika
Format: Dataset
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.8043591
https://zenodo.org/record/8043591
id ftdatacite:10.5281/zenodo.8043591
record_format openpolar
spelling 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)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic trajectory, cloud microphysics, sensitivity analysis
spellingShingle 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
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