Swiss-Polar-Institute/wind-speed-correction v0.1.0

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...

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Bibliographic Details
Main Author: Landwehr, Sebastian
Format: Article in Journal/Newspaper
Language:English
Published: Zenodo 2020
Subjects:
ACE
Online Access:https://dx.doi.org/10.5281/zenodo.3836050
https://zenodo.org/record/3836050
id ftdatacite:10.5281/zenodo.3836050
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic python
wind speed
meteorology
Antarctic Circumnavigation Expedition
ACE
spellingShingle python
wind speed
meteorology
Antarctic Circumnavigation Expedition
ACE
Landwehr, Sebastian
Swiss-Polar-Institute/wind-speed-correction v0.1.0
topic_facet python
wind speed
meteorology
Antarctic Circumnavigation Expedition
ACE
description 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/ : 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": ["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"]}
format Article in Journal/Newspaper
author Landwehr, Sebastian
author_facet Landwehr, Sebastian
author_sort Landwehr, Sebastian
title Swiss-Polar-Institute/wind-speed-correction v0.1.0
title_short Swiss-Polar-Institute/wind-speed-correction v0.1.0
title_full Swiss-Polar-Institute/wind-speed-correction v0.1.0
title_fullStr Swiss-Polar-Institute/wind-speed-correction v0.1.0
title_full_unstemmed Swiss-Polar-Institute/wind-speed-correction v0.1.0
title_sort swiss-polar-institute/wind-speed-correction v0.1.0
publisher Zenodo
publishDate 2020
url https://dx.doi.org/10.5281/zenodo.3836050
https://zenodo.org/record/3836050
geographic Antarctic
Southern Ocean
The Antarctic
Austral
geographic_facet Antarctic
Southern Ocean
The Antarctic
Austral
genre Antarc*
Antarctic
Southern Ocean
Swiss Polar Institute
genre_facet Antarc*
Antarctic
Southern Ocean
Swiss Polar Institute
op_relation https://github.com/Swiss-Polar-Institute/wind-speed-correction/tree/v0.1.0
https://zenodo.org/communities/spi-ace
https://github.com/Swiss-Polar-Institute/wind-speed-correction/tree/v0.1.0
https://dx.doi.org/10.5194/amt-2019-366
https://dx.doi.org/10.5281/zenodo.3836049
https://zenodo.org/communities/spi-ace
op_rights Open Access
Apache License 2.0
http://www.apache.org/licenses/LICENSE-2.0
apache-2.0
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.3836050
https://doi.org/10.5194/amt-2019-366
https://doi.org/10.5281/zenodo.3836049
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spelling ftdatacite:10.5281/zenodo.3836050 2023-05-15T13:44:22+02:00 Swiss-Polar-Institute/wind-speed-correction v0.1.0 Landwehr, Sebastian 2020 https://dx.doi.org/10.5281/zenodo.3836050 https://zenodo.org/record/3836050 en eng Zenodo https://github.com/Swiss-Polar-Institute/wind-speed-correction/tree/v0.1.0 https://zenodo.org/communities/spi-ace https://github.com/Swiss-Polar-Institute/wind-speed-correction/tree/v0.1.0 https://dx.doi.org/10.5194/amt-2019-366 https://dx.doi.org/10.5281/zenodo.3836049 https://zenodo.org/communities/spi-ace Open Access Apache License 2.0 http://www.apache.org/licenses/LICENSE-2.0 apache-2.0 info:eu-repo/semantics/openAccess python wind speed meteorology Antarctic Circumnavigation Expedition ACE Software SoftwareSourceCode article 2020 ftdatacite https://doi.org/10.5281/zenodo.3836050 https://doi.org/10.5194/amt-2019-366 https://doi.org/10.5281/zenodo.3836049 2021-11-05T12:55:41Z 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/ : 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": ["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"]} Article in Journal/Newspaper Antarc* Antarctic Southern Ocean Swiss Polar Institute DataCite Metadata Store (German National Library of Science and Technology) Antarctic Southern Ocean The Antarctic Austral