Published May 20, 2020
| Version 1.0
Dataset
Open
One-minute average horizontal wind velocity data (which has been corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.
- 1. Ecole Polytechnique Federale de Lausanne, Switzerland
- 2. Swiss Polar Institute, Switzerland
Contributors
Contact person:
Data curator:
Data manager:
Researcher:
- 1. Ecole Polytechnique Federale de Lausanne, Switzerland
- 2. Swiss Polar Institute, Switzerland
Description
Dataset abstract
One-minute average horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4. The data has been filtered for spurious observations and the true wind correction has been redone using the quality checked one-minute ship track velocity data. The data has been corrected for air-flow distortion, which was caused by the ship's super structure.
Dataset contents
- wind-observations-stbd-corrected-1min-legs0-4.csv, data file, comma-separated values
- wind-observations-port-corrected-1min-legs0-4.csv, data file, comma-separated values
- data_file_header, metadata, text format
- README.txt, metadata, text format
Dataset license
This one-minute averaged wind velocity dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
Notes
Files
data_file_header.txt
Additional details
References
- Landwehr, S., Thurnherr, I., Cassar, N., Gysel-Beer, M., and Schmale, J.: Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-366
- Smith, Shawn R., Mark A. Bourassa, and Ryan J. Sharp. 'Establishing More Truth in True Winds'. Journal of Atmospheric and Oceanic Technology 16 (1999): 14
- Python Software Foundation. Python Language Reference, version 3.7.3. Available at https://www.python.org