Preprints
https://doi.org/10.5194/amt-2020-321
https://doi.org/10.5194/amt-2020-321
17 Aug 2020
 | 17 Aug 2020
Status: this preprint was under review for the journal AMT. A final paper is not foreseen.

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

Nikola Vasiljević, Michael Courtney, and Anders Tegtmeier Pedersen

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.

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Nikola Vasiljević, Michael Courtney, and Anders Tegtmeier Pedersen

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Nikola Vasiljević, Michael Courtney, and Anders Tegtmeier Pedersen

Model code and software

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

Nikola Vasiljević, Michael Courtney, and Anders Tegtmeier Pedersen

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Latest update: 08 Dec 2024
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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).