Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-269-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-269-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
09 Feb 2021
Data description paper |
| 09 Feb 2021
| 09 Feb 2021
Observations of the thermodynamic and kinematic state of the atmospheric boundary layer over the San Luis Valley, CO, using the CopterSonde 2 remotely piloted aircraft system in support of the LAPSE-RATE field campaign
Elizabeth A. Pillar-Little
CORRESPONDING AUTHOR
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
Center for Autonomous Sensing and Sampling, University of Oklahoma, Norman, OK 73072, USA
Brian R. Greene
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
Center for Autonomous Sensing and Sampling, University of Oklahoma, Norman, OK 73072, USA
Advanced Radar Research Center, University of Oklahoma, Norman, OK 73019, USA
Francesca M. Lappin
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
Center for Autonomous Sensing and Sampling, University of Oklahoma, Norman, OK 73072, USA
Tyler M. Bell
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
Center for Autonomous Sensing and Sampling, University of Oklahoma, Norman, OK 73072, USA
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK 73072, USA
NOAA/OAR National Severe Storms Laboratory, Norman, OK 73072, USA
Antonio R. Segales
Center for Autonomous Sensing and Sampling, University of Oklahoma, Norman, OK 73072, USA
Advanced Radar Research Center, University of Oklahoma, Norman, OK 73019, USA
School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA
Gustavo Britto Hupsel de Azevedo
Center for Autonomous Sensing and Sampling, University of Oklahoma, Norman, OK 73072, USA
School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA
William Doyle
Center for Autonomous Sensing and Sampling, University of Oklahoma, Norman, OK 73072, USA
Sai Teja Kanneganti
Center for Autonomous Sensing and Sampling, University of Oklahoma, Norman, OK 73072, USA
School of Computer Science, University of Oklahoma, Norman, OK 73019, USA
Daniel D. Tripp
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK 73072, USA
NOAA/OAR National Severe Storms Laboratory, Norman, OK 73072, USA
Phillip B. Chilson
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
Center for Autonomous Sensing and Sampling, University of Oklahoma, Norman, OK 73072, USA
Advanced Radar Research Center, University of Oklahoma, Norman, OK 73019, USA
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Cited
12 citations as recorded by crossref.
- Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign T. Bell et al. 10.5194/essd-13-1041-2021
- Low-level buoyancy as a tool to understand boundary layer transitions F. Lappin et al. 10.5194/amt-15-1185-2022
- Considerations for improving data quality of thermo-hygrometer sensors on board unmanned aerial systems for planetary boundary layer research A. Segales et al. 10.5194/amt-15-2607-2022
- Shallow Katabatic Flow in a Complex Valley: An Observational Case Study Leveraging Uncrewed Aircraft Systems S. Bailey et al. 10.1007/s10546-022-00783-w
- The Large eddy Observatory, Voitsumra Experiment 2019 (LOVE19) with high-resolution, spatially distributed observations of air temperature, wind speed, and wind direction from fiber-optic distributed sensing, towers, and ground-based remote sensing K. Lapo et al. 10.5194/essd-14-885-2022
- Development and Calibration of Pressure-Temperature-Humidity (PTH) Probes for Distributed Atmospheric Monitoring Using Unmanned Aircraft Systems K. Ladino et al. 10.3390/s22093261
- A Sampling‐Based Path Planning Algorithm for Improving Observations in Tropical Cyclones J. Darko et al. 10.1029/2020EA001498
- Evaluation of an Automatic Meteorological Drone Based on a 6-Month Measurement Campaign M. Hervo et al. 10.3390/atmos14091382
- The mobility virtual environment (MoVE): an open source framework for gathering and visualizing atmospheric observations using multiple vehicle-based sensors M. Compere et al. 10.1039/D2EA00106C
- Tutorial Review of Indirect Wind Estimation Methods Using Small Uncrewed Air Vehicles Z. Ahmed et al. 10.2514/1.I011345
- Data generated during the 2018 LAPSE-RATE campaign: an introduction and overview G. de Boer et al. 10.5194/essd-12-3357-2020
- Measurements from mobile surface vehicles during the Lower Atmospheric Profiling Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) G. de Boer et al. 10.5194/essd-13-155-2021
10 citations as recorded by crossref.
- Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign T. Bell et al. 10.5194/essd-13-1041-2021
- Low-level buoyancy as a tool to understand boundary layer transitions F. Lappin et al. 10.5194/amt-15-1185-2022
- Considerations for improving data quality of thermo-hygrometer sensors on board unmanned aerial systems for planetary boundary layer research A. Segales et al. 10.5194/amt-15-2607-2022
- Shallow Katabatic Flow in a Complex Valley: An Observational Case Study Leveraging Uncrewed Aircraft Systems S. Bailey et al. 10.1007/s10546-022-00783-w
- The Large eddy Observatory, Voitsumra Experiment 2019 (LOVE19) with high-resolution, spatially distributed observations of air temperature, wind speed, and wind direction from fiber-optic distributed sensing, towers, and ground-based remote sensing K. Lapo et al. 10.5194/essd-14-885-2022
- Development and Calibration of Pressure-Temperature-Humidity (PTH) Probes for Distributed Atmospheric Monitoring Using Unmanned Aircraft Systems K. Ladino et al. 10.3390/s22093261
- A Sampling‐Based Path Planning Algorithm for Improving Observations in Tropical Cyclones J. Darko et al. 10.1029/2020EA001498
- Evaluation of an Automatic Meteorological Drone Based on a 6-Month Measurement Campaign M. Hervo et al. 10.3390/atmos14091382
- The mobility virtual environment (MoVE): an open source framework for gathering and visualizing atmospheric observations using multiple vehicle-based sensors M. Compere et al. 10.1039/D2EA00106C
- Tutorial Review of Indirect Wind Estimation Methods Using Small Uncrewed Air Vehicles Z. Ahmed et al. 10.2514/1.I011345
2 citations as recorded by crossref.
- Data generated during the 2018 LAPSE-RATE campaign: an introduction and overview G. de Boer et al. 10.5194/essd-12-3357-2020
- Measurements from mobile surface vehicles during the Lower Atmospheric Profiling Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) G. de Boer et al. 10.5194/essd-13-155-2021
Latest update: 13 Dec 2024
Short summary
During July 2018, researchers from OU participated in the LAPSE-RATE field campaign in San Luis Valley, Colorado. The OU team completed 180 flights using three RPASs over the course of 6 d of operation to collect vertical profiles of the thermodynamic and kinematic state of the ABL. This article describes sampling strategies, data collection, platform intercomparibility, data quality, and the dataset's possible applications to convective initiation, drainage flows, and ABL transitions.
During July 2018, researchers from OU participated in the LAPSE-RATE field campaign in San Luis...
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