Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements

Landwehr, Sebastian; Thurnherr, Iris; Cassar, Nicolas; Gysel-Beer, Martin; Schmale, Julia

doi:https://doi.org/10.5194/amt-13-3487-2020

Articles | Volume 13, issue 6

https://doi.org/10.5194/amt-13-3487-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-13-3487-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 6

Research article

|

30 Jun 2020

Research article |

| 30 Jun 2020

Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements

Sebastian Landwehr, Iris Thurnherr, Nicolas Cassar, Martin Gysel-Beer, and Julia Schmale

Supplement

https://doi.org/10.5194/amt-13-3487-2020-supplement

Data sets

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 S. Landwehr, J. Thomas, and J. Schmale https://doi.org/10.5281/zenodo.3836439

Air-flow distortion bias factors of the port and starboard anemometers of the Akademik Tryoshnikov estimated during the Antarctic Circumnavigation Expedition (ACE) legs 0-4 undertaken during the austral summer of 2016/2017 S. Landwehr, J. Thomas, and J. Schmale https://doi.org/10.5281/zenodo.3836200

Swiss Polar Institute: Antarctic Circumnavigation Expedition (ACE) J. Thomas https://zenodo.org/ 70 communities/spi-ace/

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 S. Landwehr, J. Thomas, and J. Schmale https://doi.org/10.5281/zenodo.3836185

One-Minute Average Horizontal Wind Velocity Data (Which Has Been Corrected for Air-Flow Distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 Legs 0 to 4 S. Landwehr, J. Thomas, and J. Schmale https://doi.org/10.5281/zenodo.3836211

Five-Minute Average Cruise Track and Ship Velocity of the Antarctic Circumnavigation Expedition (ACE) Undertaken during the Austral Summer of 2016/2017 S. Landwehr, J. Thomas, and J. Schmale https://doi.org/10.5281/zenodo.3772377

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 M. Volpi, S. Landwehr, J. Thomas, and J. Schmale https://doi.org/10.5281/zenodo.3832045

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 M. Volpi, S. Landwehr, J. Thomas, and J. Schmale https://doi.org/10.5281/zenodo.3831980

Quality-Checked Meteorological Data from the Southern Ocean Collected during the Antarctic Circumnavigation Expedition from December 2016 to April 2017 S. Landwehr, J. Thomas, I. Gorodetskaya, I. Thurnherr, C. Robinson, and J. Schmale https://doi.org/10.5281/zenodo.3379590

Coarse Mode Aerosol Particle Size Distribution Collected in the Southern Ocean in the Austral Summer of 2016/2017, during the Antarctic Circumnavigation Expedition J. Schmale, S. Henning, F. Tummon, M. Hartmann, A. Baccarini, A. Welti, K. Lehtipalo, C. Tatzelt, S. Landwehr, and M. Gysel-Beer https://doi.org/10.5281/zenodo.2636709

Physical and Biogeochemical Oceanography Data from 55 Underway Measurements with an Aqualine Ferrybox during the Antarctic Circumnavigation Expedition (ACE) F. A. Haumann, C. Robinson, J. Thomas, J. Hutchings, C. Pina Estany, A. Tarasenko, F. Gerber, and K. Leonard https://doi.org/10.5281/zenodo.3660852

Model code and software

Swiss-Polar-Institute/wind-speed-correction v0.1.0 S. Landwehr https://doi.org/10.5281/zenodo.3836050

Short summary

Shipborne wind speed measurements are relevant for field studies of air–sea interaction processes. Distortion of the airflow by the ship’s structure can, however, lead to errors. We estimate the flow distortion bias by comparing the observations to ERA-5 reanalysis data. The underlying assumptions are that the bias depends only on the relative orientation of the ship to the wind direction and that the ERA-5 wind speeds are (on average) representative of the true wind speed.