Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-697-2021
https://doi.org/10.5194/essd-13-697-2021
Data description paper
 | 
26 Feb 2021
Data description paper |  | 26 Feb 2021

Real-time WRF large-eddy simulations to support uncrewed aircraft system (UAS) flight planning and operations during 2018 LAPSE-RATE

James O. Pinto, Anders A. Jensen, Pedro A. Jiménez, Tracy Hertneky, Domingo Muñoz-Esparza, Arnaud Dumont, and Matthias Steiner

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Cited articles

Benjamin, S. G., Weygandt, S. S., Brown, J. M., Hu, M., Alexander, C. R., Smirnova, T. G., Olson, J. B., James, E. P., Dowell, D. C., Grell, G. A., Lin, H., Peckham, S. E., Smith, T. L., Moninger, W. R., and Kenyon, J. S.: A North American hourly assimilation and model forecast cycle: The Rapid Refresh, Mon. Weather Rev., 144, 1669–1694, https://doi.org/10.1175/MWR-D-15-0242.1, 2016. 
Bryan, G. H., Wyngaard, J. C., and Fritsch, J. M.: Resolution requirements for the simulation of deep moist convection, Mon. Wea. Rev., 131, 2394–2416, https://doi.org/10.1175/1520-0493(2003)131<2394:RRFTSO>2.0.CO;2, 2003. 
Campbell, S. E., Clark, D. A., and Evans, J. E.: Preliminary Weather Information Gap Analysis for UAS Operations, Technical Report, MIT Lincoln Laboratory, Boston, MA, USA, 2017. 
Computational and Information Systems Laboratory (CISL): Cheyenne: HPE/SGI ICE XA System (NCAR Community Computing), Boulder, CO, National Center for Atmospheric Research, https://doi.org/10.5065/D6RX99HX, 2019. 
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Short summary
The dataset produced here was generated as part of a real-time demonstration of a new capability to provide fine-scale weather guidance to support small UAS operations. The nested model configuration enabled us to resolve large turbulent eddies that developed in response to daytime heating and demonstrated the current state of the science in coupling mesoscale forcing with a large eddy simulation (LES) model. Output from these real-time simulations was used for planning IOPs during LAPSE-RATE.
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