Preprints
https://doi.org/10.5194/amt-2020-321
https://doi.org/10.5194/amt-2020-321

  17 Aug 2020

17 Aug 2020

Review status: this preprint is currently under review for the journal AMT.

Uncertainty model for dual-Doppler retrievals of wind speed and wind direction

Nikola Vasiljević, Michael Courtney, and Anders Tegtmeier Pedersen Nikola Vasiljević et al.
  • Technical University of Denmark – DTU Wind Energy, Frederiksborgvej 399, Building 118-VEA, 4000 Roskilde, Denmark

Abstract. In this paper we present an analytical model for estimating the uncertainty of the horizontal wind speed based on dual-Doppler lidar measurements. The model follows the propagation of uncertainties method and takes into account the uncertainty of radial velocity estimation, azimuth and elevation pointing angles, and ranging. The model is achieved by coupling ranging and elevation angle to uncertainty of the probed wind speed through a simple power-law shear model. The model has been implemented in Python and made freely available through as the Python package YADDUM.

Nikola Vasiljević et al.

 
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

Nikola Vasiljević et al.

Model code and software

YADDUM (Yet Another Dual-Doppler Uncertainty Model) Nikola Vasiljevic https://doi.org/10.5281/zenodo.3580749

Nikola Vasiljević et al.

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Short summary
In this paper, we present an analytical model for estimating the uncertainty of the horizontal wind speed based on dual-Doppler lidar measurements. The model follows the propagation of uncertainties method and takes into account the uncertainty of radial velocity estimation, azimuth and elevation pointing angles, and ranging. The model has been implemented in Python and made freely available as the Python package YADDUM (Yet Another Dual-Doppler Uncertainty Model).