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.

• Main Authors: Landwehr, Sebastian, Thomas, Jenny, Schmale, Julia
• Format: Dataset
• Language: English
• Published: Zenodo 2020
• Subjects: wind speed; meteorology; Southern Ocean; Atlantic Ocean; Antarctic Circumnavigation Expedition; ACE; Antarctic; The Antarctic; Antarc*; Swiss Polar Institute
• Online Access: https://dx.doi.org/10.5281/zenodo.3836185; https://zenodo.org/record/3836185

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/ : 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. : {"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"]}