Copernicus GmbH
Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements
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, Preprint
Landwehr, S; Thurnherr, I; Cassar, N; Gysel-Beer, M; Schmale, J
October 1, 2019
Duke Scholars
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Landwehr, S., Thurnherr, I., Cassar, N., Gysel-Beer, M., & Schmale, J. (2019). Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements. Copernicus GmbH. https://doi.org/10.5194/amt-2019-366
Landwehr, Sebastian, Iris Thurnherr, Nicolas Cassar, Martin Gysel-Beer, and Julia Schmale. “Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements.” Copernicus GmbH, October 1, 2019. https://doi.org/10.5194/amt-2019-366.
Landwehr S, Thurnherr I, Cassar N, Gysel-Beer M, Schmale J. Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements. Copernicus GmbH. 2019.
Landwehr, Sebastian, et al. “Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements.” Copernicus GmbH, 1 Oct. 2019. Crossref, doi:10.5194/amt-2019-366.
Landwehr S, Thurnherr I, Cassar N, Gysel-Beer M, Schmale J. Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements. Copernicus GmbH. 2019.