1 ForWind, University of Oldenburg, Kupkersweg 70, 26129 Oldenburg, Germany;  
[EMAIL_ADDRESS] (D.T. ); [EMAIL_ADDRESS] (D.T.) 1 ForWind, University of Oldenburg, Kupkersweg 70, 26129 Oldenburg, Germany;  
[EMAIL_ADDRESS] (D.T. ); [EMAIL_ADDRESS] (D.T. ); [EMAIL_ADDRESS] (M.K.) 1 ForWind, University of Oldenburg, Kupkersweg 70, 26129 Oldenburg, Germany;  
[EMAIL_ADDRESS] (D.T. ); [EMAIL_ADDRESS] (D.T. ); [EMAIL_ADDRESS] (M.K.) 1 ForWind, University of Oldenburg, Kupkersweg 70, 26129 Oldenburg, Germany;  
[EMAIL_ADDRESS] (D.T. ); [EMAIL_ADDRESS] (D.T. ); [EMAIL_ADDRESS] (D.T. ); [EMAIL_ADDRESS] (M.K.) 1 ForWind, University of Oldenburg, Kupkersweg 70, 26129 Oldenburg, Germany;  
[EMAIL_ADDRESS] (D.T. ); martin. measurements of a turbine with such a lidar. [PERSON] et al. (2016) retrieved wake characteristics by using one long-range lidar and fitting measurements to Gaussian-shaped wake profiles. [PERSON] et al. (2017) proposed a way to execute volumetric measurements with a single lidar. [PERSON] et al. (2018) used dual-Doppler lidar to scan a vertical plane through a wind turbine wake. Considerable uncertainties can affect the horizontal wind vector reconstructed from measurements performed with a single lidar. This aspect is even more relevant in the wake of a wind turbine where the wind field is heterogeneous. Using a single representative wind direction--e.g., provided by a nearby wind vane--to evaluate the horizontal wind vector derived from the radial wind velocity measured over a large area within a wind farm, could introduce uncertainties due to the local variability of the wind direction. Moreover, the propagation of all uncertainties affecting the reconstruction of the horizontal wind vector tends to grow infinitely when the lidar measures perpendicular to the wind direction. This limits the possibility to perform reliable measurements of a wind turbine wake. Advanced dual-Doppler lidar applications could overcome these problems by using multiple lidars to scan over the same area of interest from different locations, optionally considering the continuity equation as well. We are subsequently referring to dual-Doppler lidar as methods for performing and processing measurements from different Plan Position Indicator (PPI) scans of two long-range pulsed scanning lidars. The PPI scan is characterised by a fixed elevation angle and a varying azimuth angle. When several elevation angles are considered and a full-volume of dual-Doppler lidar measurements is available, it is possible to evaluate 2D or 3D wind fields on a predefined grid by means of algorithms such as the Multiple-Doppler Synthesis and Continuity Adjustment Technique (MUSCAT) by ([PERSON] et al., 2018). This was originally developed for airborne radar ([PERSON] et al., 2017) and was evaluated mainly for the study of meteorological steady wind fields in which the measurement domain was in the order of 1000 km\({}^{2}\)([PERSON] et al., 2016). [PERSON] et al. (2016) demonstrated the feasibility of the application of MUSCAT to ground-based dual-Doppler lidar measurements. In the latter study, a full-volume scan defined by a \(360^{\circ}\) sector at 10 different elevation angles lasted about 20 min. This points out that the small time and length scale dynamics of wind turbine wakes and the time needed for a full-volume scan cycle could conflict when applying dual-Doppler lidar to wake measurements. On the contrary, with a full-volume scan cycle of about 1 min, the application of two Ka-band radars ([PERSON] et al., 2016) could enable the study of the dynamical behaviour of wakes in a wind farm. Although the application of the aforementioned dual-Doppler analysis algorithms in combination with the state-of-the-art dual-Doppler lidar scanning techniques was demonstrated before, the application to wind turbine wakes has not been analysed thoroughly yet. In this paper, we propose a simple wind field reconstruction methodology similar to MUSCAT, which we call Multiple-Lidar Wind Field Evaluation Algorithm (MuLiWEA).