Assimilation of a Coordinated Fleet of Uncrewed Aircraft System Observations in Complex Terrain: EnKF System Design and Preliminary Assessment Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1175/mwr-d-20-0359.1
Uncrewed aircraft system (UAS) observations collected during the 2018 Lower Atmospheric Process Studies at Elevation—a Remotely Piloted Aircraft Team Experiment (LAPSE-RATE) field campaign were assimilated into a high-resolution configuration of the Weather Research and Forecasting Model using an ensemble Kalman filter. The benefit of UAS observations was assessed for a terrain-driven (drainage and upvalley) flow event that occurred within Colorado’s San Luis Valley (SLV) using independent observations. The analysis and prediction of the strength, depth, and horizontal extent of drainage flow from the Saguache Canyon and the subsequent transition to upvalley and up-canyon flow were improved relative to that obtained both without data assimilation (benchmark) and when only surface observations were assimilated. Assimilation of UAS observations greatly improved the analyses of vertical variations in temperature, relative humidity, and winds at multiple locations in the northern portion of the SLV, with reductions in both bias and the root-mean-square error of roughly 40% for each variable relative to the benchmark run. Despite these noted improvements, some biases remain that were tied to measurement error and/or the impact of the boundary layer parameterization on vertically spreading the observations, both of which require further exploration. The results presented here highlight how observations obtained with a fleet of profiling UAS improve limited-area, high-resolution analyses and short-term forecasts in complex terrain.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1175/mwr-d-20-0359.1
- OA Status
- green
- Cited By
- 38
- References
- 110
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3130146097
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3130146097Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1175/mwr-d-20-0359.1Digital Object Identifier
- Title
-
Assimilation of a Coordinated Fleet of Uncrewed Aircraft System Observations in Complex Terrain: EnKF System Design and Preliminary AssessmentWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-02-22Full publication date if available
- Authors
-
Anders A. Jensen, James O. Pinto, Sean Bailey, Ryan A. Sobash, Gijs de Boer, Adam L. Houston, Phillip B. Chilson, Tyler Bell, Glen S. Romine, Suzanne Smith, Dale Lawrence, Cory Dixon, Julie K. Lundquist, Jamey Jacob, Jack Elston, Sean Waugh, Matthias SteinerList of authors in order
- Landing page
-
https://doi.org/10.1175/mwr-d-20-0359.1Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.osti.gov/biblio/1810066Direct OA link when available
- Concepts
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Terrain, Data assimilation, Environmental science, Meteorology, Canyon, Relative humidity, Horizontal resolution, Boundary layer, Ensemble Kalman filter, Climatology, Geology, Kalman filter, Computer science, Extended Kalman filter, Geography, Cartography, Physics, Geomorphology, Artificial intelligence, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
38Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 11, 2023: 7, 2022: 10, 2021: 6Per-year citation counts (last 5 years)
- References (count)
-
110Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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