Published May 20, 2020 | Version 1.0
Dataset Open

One-minute average horizontal wind velocity data (not 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 manager:

Researcher:

  • 1. Ecole Polytechnique Federale de Lausanne, Switzerland
  • 2. Swiss Polar Institute, Switzerland

Description

Dataset abstract

This dataset contains the 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. This data set has not been corrected for air-flow distortion, which was caused by the ship's super structure. The flow-distortion corrected data should be used for studies interested in the actual true wind speed near the ship's location.

Dataset contents

  • wind-observations-stbd-uncorrected-5min-legs0-4.csv, data file, comma-separated values
  • wind-observations-port-uncorrected-5min-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

The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. SL received funding from the Swiss Data Science Center project c17-02.

Files

data_file_header.txt

Files (43.4 MB)

Name Size Download all
md5:c17c3017da538023298eccd695fad993
1.6 kB Preview Download
md5:3fc974c83d8b113eaa9970e67f9b427b
4.5 kB Preview Download
md5:372eb4cb514da31efd948266e7380a5e
21.7 MB Preview Download
md5:064e314154b46f5c89a101ad3244fd71
21.7 MB Preview Download

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