AEWDAT - African Easterly Waves: Identified and Tracked Wave Troughs ...
This data set contains identified wave troughs within African Easterly Waves, utilizing 700 hPa curvature vorticity data from the ERA5 reanalysis spanning from June to October over the period 1940-2022. It encompasses all identified wave troughs and also includes extracted tracks derived from these...
| Main Authors: | , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Zenodo
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.8403744 https://zenodo.org/doi/10.5281/zenodo.8403744 |
| Summary: | This data set contains identified wave troughs within African Easterly Waves, utilizing 700 hPa curvature vorticity data from the ERA5 reanalysis spanning from June to October over the period 1940-2022. It encompasses all identified wave troughs and also includes extracted tracks derived from these identified features. The identification methodology closely follows the approach outlined by Belanger et al. (2016). Troughs and ridges are determined as zeros in Curvature Vorticity Advection fields. Threshold criteria, based on a climatology and the second derivative, are applied to extract the troughs. Tracking is accomplished through a heuristic that connects wave troughs meeting specified criteria for speed and average speed over a 36-hour period. The JSON files within this dataset provide a description of the wave troughs, structured as follows: Each file contains one year of data, with one set each. Each set includes: A list of timestamps, where each timestamp contains the identified troughs at a specific ... : The research leading to these results has been accomplished within the project C3 "Predictability of tropical and hybrid cyclones over the North Atlantic Ocean" of the Transregional Collaborative Research Center SFB/TRR 165 "Waves to Weather" funded by the German Science Foundation (DFG). ... |
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