wind-speed-correction Initial release. Analysis of the flowdistortion bias in the ship borne wind speed measurements from the Antarctic Circumnavigation Experiment (ACE). We use ERA-5 reanalysis data to quantify the flowdistortion bias in the measured relative wind speed and direction as a function of the relative wind direction. Please refer to and cite Landwehr et al. (2019; DOI: https://doi.org/10.5194/amt-2019-366) when using this code or modified versions of it. Using the code An example of how these scripts can be used can be found in a Gitlab repository which also contains datasets that were used and created by this code. Requirements In order to run the code, the packages in requirements.txt should be installed: pip3 install -r requirements.txt Note that pyantarctica requires an older version of pandas, but this code will run with the newer version of pandas=1.0.3. Running the code Amend paths to input and output dataset files in read_ace_data.py and ace_flowdistortion.py. Then execute with python3: python3 ace_flowdistortion.py Input datasets This repository can be used with the following input datasets. Summary raw wind data from the Southern Ocean collected on board the Antarctic Circumnavigation Expedition (ACE) during the austral summer of 2016/2017. https://doi.org/10.5281/zenodo.3801718 One-minute average cruise track and ship velocity of the Antarctic Circumnavigation Expedition (ACE) undertaken during the austral summer of 2016/2017. https://doi.org/10.5281/zenodo.3772895 ERA-5 reanalysis results interpolated onto the five-minute average cruise track of the Antarctic Circumnavigation Expedition (ACE) during the austral summer of 2016/2017. https://doi.org/10.5281/zenodo.3831980 Distance to the nearest land/coastline (including small subantarctic islands) for the five-minute average cruise track of the Antarctic Circumnavigation Expedition (ACE) during the austral summer of 2016/2017. https://doi.org/10.5281/zenodo.3832045 77040_UBXH3_2017012618_2017021818.txt provides a list of all the times that near surface wind observations were assimilated into ERA5 from station UBXH3 (the R/V Akademik Tryoshnikov used during ACE), during the period November 2016 to May 2017. The columns in the file are stationId, date (yyyymmdd; UTC), time (hh; UTC), latitude (degree_north), longitude (degree_east). All of the above datasets are available with a 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/

{"references": ["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", "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", "Python Software Foundation. Python Language Reference, version 3.7.3. Available at http://www.python.org"]}

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.