Articles | Volume 13, issue 7
https://doi.org/10.5194/amt-13-3855-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-3855-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jul 2020
Research article |
| 16 Jul 2020
| 16 Jul 2020
Confronting the boundary layer data gap: evaluating new and existing methodologies of probing the lower atmosphere
University of Oklahoma, School of Meteorology, Norman, Oklahoma, USA
University of Oklahoma, Center for Autonomous Sensing and Sampling, Norman, Oklahoma, USA
Brian R. Greene
University of Oklahoma, School of Meteorology, Norman, Oklahoma, USA
University of Oklahoma, Center for Autonomous Sensing and Sampling, Norman, Oklahoma, USA
University of Oklahoma, Advanced Radar Research Center, Norman, Oklahoma, USA
Petra M. Klein
University of Oklahoma, School of Meteorology, Norman, Oklahoma, USA
University of Oklahoma, Center for Autonomous Sensing and Sampling, Norman, Oklahoma, USA
Matthew Carney
University of Oklahoma, School of Meteorology, Norman, Oklahoma, USA
Phillip B. Chilson
University of Oklahoma, School of Meteorology, Norman, Oklahoma, USA
University of Oklahoma, Center for Autonomous Sensing and Sampling, Norman, Oklahoma, USA
University of Oklahoma, Advanced Radar Research Center, Norman, Oklahoma, USA
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Discussed (final revised paper)
Latest update: 21 Feb 2025
Short summary
It is well known that the atmospheric boundary layer is under-sampled in the vertical dimension. Recently, weather-sensing uncrewed aerial systems (WxUAS) have created new opportunities to sample this region of the atmosphere. This study compares a WxUAS developed at the University of Oklahoma to ground-based remote sensing and radiosondes. We find that overall the systems generally agreed well both thermodynamically and kinematically. However, there is still room to improve each system.
It is well known that the atmospheric boundary layer is under-sampled in the vertical dimension....
