Zentek, Rolf; Heinemann, Günther (2022): Low-Level-Jet and Inversion statistics for Weddell Sea region of Antarctica [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.940364
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Abstract:
This data set is a climatology (2002–2016) of low level jet (LLJ) and inversion parameters for the Weddell Sea region of Antarctica. Mean (Summer=April-Sept., Winter=Dez.-Jan., Annual) values were computed from hourly COSMO-CLM model output. To detect a LLJ the lowest 1 km of the atmosphere was searched for a wind maximum (>2m/s than above and below) and the following parameters were taken: height (m) and wind speed (m/s) of the wind maximum, relative wind speed increase (compared to above and below), and the difference (LLJ-height minus near-surface-height) of potential temperature (K) and wind direction (°). To detect an inversion the lowest 1 km of the atmosphere was searched for the point where the potential temperature gradient dropped below 2 K/100 m and the following parameters were taken: height (m) of the inversion and strengh (K) defined as difference of potential temperature (inversion-height minus near-surface-height). The frequency (%) gives fraction of time a LLJ / inversion was detected. Furthermore the dataset of the mean wind field at 10 m above ground was added.
For more detail and the exact description on the search algorithm see doi:10.3390/atmos12121635. For more details on the simulation see doi:10.5194/gmd-13-1809-2020.
Supplement to:
Heinemann, Günther; Zentek, Rolf (2021): A Model-Based Climatology of Low-Level Jets in the Weddell Sea Region of the Antarctic. Atmosphere, 12(12), 1635, https://doi.org/10.3390/atmos12121635
Related to:
Zentek, Rolf; Heinemann, Günther (2020): Verification of the regional atmospheric model CCLM v5.0 with conventional data and lidar measurements in Antarctica. Geoscientific Model Development, 13(4), 1809-1825, https://doi.org/10.5194/gmd-13-1809-2020
Project(s):
Funding:
German Research Foundation (DFG), grant/award no. 5472008: Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
German Research Foundation (DFG), grant/award no. HE 2740/33: Regional high-resolution Downscaling of Climate Change in the Antarctic (REDOCCA)
Coverage:
Latitude: -70.000000 * Longitude: -38.000000
Comment:
Acknowledgments: The COSMO-CLM model was provided by the German Meteorological Service and the CLM community. Computing time was provided by Deutsches Klimarechenzentrum (DKRZ).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Zentek, Rolf | |||
| 2 | Binary Object | Binary | Zentek, Rolf | |||
| 3 | Binary Object (File Size) | Binary (Size) | Bytes | Zentek, Rolf | ||
| 4 | Binary Object (MD5 Hash) | Binary (Hash) | Zentek, Rolf |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
16 data points
Data
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| 1 Content | 2 Binary | 3 Binary (Size) [Bytes] | 4 Binary (Hash) |
|---|---|---|---|
| inversion parameters, mean annual | T15_inversion_mean_annual_statistic.nc | 2.1 MBytes | 795121487dcff4b5a80321a90467c8d7 |
| inversion parameters, mean summer | T15_inversion_mean_summer_statistic.nc | 2.1 MBytes | 8e536a78e39a84f042e6362b43fbe17e |
| inversion parameters, mean winter | T15_inversion_mean_winter_statistic.nc | 2.1 MBytes | 1a9cc5b6627ad490e77da314b8273efb |
| low level jet climatology, mean annual frequency | T15_llj_mean_annual_frequency.nc | 2.1 MBytes | 8e799b07043e8ad6b100d7e13d5153c6 |
| low level jet climatology, mean annual statistic | T15_llj_mean_annual_statistic_0percentCriteria.nc | 2.1 MBytes | 70bb371088ec11514683ea2c278d63d5 |
| low level jet climatology, mean summer statistic | T15_llj_mean_summer_statistic_0percentCriteria.nc | 2.1 MBytes | c0eacf112106f2e18dcb6204c62159c9 |
| low level jet climatology, mean winter statistic | T15_llj_mean_winter_statistic_0percentCriteria.nc | 2.1 MBytes | 7976c0261a5d83590f951628f21ce7d8 |
| mean wind field at 10 m above ground | T15_mean_annual_wind10m.nc | 1.3 MBytes | 1ef217e2e5725b108bca2eb1a34f90e0 |