Research data for "Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large-scale flow pattern - insights from a perturbed parameter ensemble"
Oertel, Annika
1; Miltenberger, Annette; Grams, Christian; Hoose, Corinna
1
1 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
1; Miltenberger, Annette; Grams, Christian; Hoose, Corinna
11 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)
Abstract:
This archive contains warm conveyor belt (WCB) trajectory data from a perturbed parameter ensemble (PPE) presented in the manuscript "Sensitivities of warm conveyor belt ascent, associated precipitation characteristics and large-scale flow pattern - insights from a perturbed parameter ensemble" published in the Quartely Journal of the Royal Meteorological Society.
The study presents a 70-member perturbed parameter ensemble (PPE) built with the Icosahedral Nonhydrostatic (ICON) modelling framework and analyses sensitivities of WCB ascent and its characteristics to perturbations of cloud microphysical parameters and environmental conditions. WCB ascent behaviour and associated properties are quantified based on online trajectories which are included in this archive. Details about parameter perturbations and variables stored along WCB trajectories are provided in the original publication.
The study presents a 70-member perturbed parameter ensemble (PPE) built with the Icosahedral Nonhydrostatic (ICON) modelling framework and analyses sensitivities of WCB ascent and its characteristics to perturbations of cloud microphysical parameters and environmental conditions. WCB ascent behaviour and associated properties are quantified based on online trajectories which are included in this archive. Details about parameter perturbations and variables stored along WCB trajectories are provided in the original publication.
| Zugehörige Institution(en) am KIT | Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO) |
| Publikationstyp | Forschungsdaten |
| Publikationsjahr | 2025 |
| Identifikator | KITopen-ID: 1000181772 |
| HGF-Programm | 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales |
| Lizenz | Creative Commons Namensnennung – Nicht kommerziell – Weitergabe unter gleichen Bedingungen 4.0 International |
| Schlagwörter | Atmospheric Science, Atmospheric Science, ICON, WCB trajectories, sensitivity experiments, cloud microphysics, perturbed parameter ensemble (PPE) |
| Art der Forschungsdaten | Dataset |
| Nachgewiesen in | OpenAlex |
| Relationen in KITopen | |
| Rechteinhaber | Oertel, Annika |