Published May 20, 2020 | Version 1.0
Dataset Open

Five-minute average horizontal wind velocity data combined from both sensors (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 manager:

Researcher:

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

Description

Dataset abstract

The horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4 has been corrected for air-flow distortion. The measurements from both the port and starboad side anemometer were averaged to five-minute resolution and have been combined via vector averaging of the data. The ten meter neutral wind speed (U10N) has been estimated using ERA-5 surface heat fluxes, which were interpolated onto the ship's track, and the COARE 3.5 drag coefficient. This data set provides a continous and high-resolution record of the wind speed and direction near to the ship's location.

Dataset contents

  • wind-observations-port-stbd-corrected-combined-5min-legs0-4.csv, data file, comma-separated values
  • data_file_header, metadata, text format
  • README.txt, metadata, text format

Dataset license

This five-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 (5.2 MB)

Name Size Download all
md5:d13668aafcfd8e5114d06a6284b7ddb6
2.0 kB Preview Download
md5:ace55649156e33b06ec869702da9d0b8
4.9 kB Preview Download
md5:5691be1b7b5193bc238be59dcf94c242
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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