Preprints
https://doi.org/10.5194/essd-2022-268
https://doi.org/10.5194/essd-2022-268
 
19 Sep 2022
19 Sep 2022
Status: this preprint is currently under review for the journal ESSD.

Combined Wind Lidar and Cloud Radar for Wind Profiling

José Dias Neto1, Louise Nuijens1, Christine Unal1, and Steven Knoop2 José Dias Neto et al.
  • 1Delft University of Technology
  • 2Royal Netherlands Meteorological Institute

Abstract. This paper introduces an experimental setup for retrieving horizontal wind speed and direction profiles by combining wind lidar and cloud radars and the 2 level datasets produced. The experiment took place in Cabauw, the Netherlands, between September 13th and October 3rd 2021. The intermediate processing steps for generating the Level 1 and Level 2 data, such as second trip echos filtering, offset correction, wind retrieval, re-gridding and flagging, are described. In Level 1 (https://doi.org/10.5281/zenodo.6926483, Dias Neto (2022a)), the data from lidar and radars are kept in the original spatial and temporal resolution, while in Level 2 (https://doi.org/10.5281/zenodo.6926605, Dias Neto (2022b)), they are re-grided to a common spatial and temporal resolution. Statistical analyses of the lidar’s and radar’s wind speed and direction profiles indicate a correlation higher than 0.95 for both variables, and the bias of wind direction and speed are 0.24° and -0.16 ms−1, respectively. Applications of this dataset include numerical model validation, momentum transport studies and spectral analysis for different cloud regimes.

José Dias Neto et al.

Status: open (until 14 Nov 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

José Dias Neto et al.

Data sets

The Tracing Convective Momentum Transport in Complex Cloudy Atmospheres Experiment - Level 2 José Dias Neto https://doi.org/10.5281/zenodo.6926605

The Tracing Convective Momentum Transport in Complex Cloudy Atmospheres Experiment - Level 1 José Dias Neto https://doi.org/10.5281/zenodo.6926483

José Dias Neto et al.

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Short summary
This paper describes a dataset from a novel experimental setup to retrieve wind speed and direction profiles, combining cloud radars and wind lidar. This setup allows retrieving profiles from near the surface to the top of clouds. The field campaign occurred in Cabauw, the Netherlands, between September 13th and October 3rd 2021. This paper also provides examples of applications of this dataset (e.g. studying atmospheric turbulence, validating numerical atmospheric models).