Using optimal estimation to retrieve winds from velocity-azimuth display (VAD) scans by a Doppler lidar

Baidar, Sunil; Wagner, Timothy J.; Turner, David D.; Brewer, W. Alan

doi:https://doi.org/10.5194/amt-16-3715-2023

Articles | Volume 16, issue 15

https://doi.org/10.5194/amt-16-3715-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-16-3715-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 15

Research article

|

10 Aug 2023

Research article |

| 10 Aug 2023

Using optimal estimation to retrieve winds from velocity-azimuth display (VAD) scans by a Doppler lidar

Sunil Baidar, Timothy J. Wagner, David D. Turner, and W. Alan Brewer

Data sets

Doppler Lidar (DLPPI), 1 January 2019 to 31 December 2019 Atmospheric Radiation Measurement (ARM) user facility https://doi.org/10.5439/1025186

Balloon-Borne Sounding System (SONDEWNPN), 1 January 2004 to 31 December 019 Atmospheric Radiation Measurement (ARM) user facility https://doi.org/10.5439/1595321

Short summary

This paper provides a new method to retrieve wind profiles from coherent Doppler lidar (CDL) measurements. It takes advantage of layer-to-layer correlation in wind profiles to provide continuous profiles of up to 3 km by filling in the gaps where the CDL signal is too small to retrieve reliable results by itself. Comparison with the current method and collocated radiosonde wind measurements showed excellent agreement with no degradation in results where the current method gives valid results.