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  4. 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
 
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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

Landwehr, Sebastian  
•
Thomas, Jenny
•
Schmale, Julia  

<strong>Dataset abstract</strong> 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. <strong>Dataset contents</strong> 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 <strong>Dataset license</strong> 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/ 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"]}

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Type
dataset
DOI
10.5281/zenodo.3836439
Author(s)
Landwehr, Sebastian  
Thomas, Jenny
Schmale, Julia  
Date Issued

2020

EPFL units
EERL  
Available on Infoscience
February 22, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/175420
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