Scipediacontent: Scipediacontent moved page Draft Content 313157857 to Williams 2013a

2021-02-12T12:44:15Z

Scipediacontent moved page Draft Content 313157857 to Williams 2013a

Scipediacontent: Created page with " == Abstract == mospheric turbulence poses a significant hazard to aviation, with severe encounters costing airlines millions of dollars per year in compensation, aircraft da..."

2021-02-12T12:44:12Z

Created page with " == Abstract == mospheric turbulence poses a significant hazard to aviation, with severe encounters costing airlines millions of dollars per year in compensation, aircraft da..."

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== Abstract ==

mospheric turbulence poses a significant hazard to aviation, with severe encounters costing airlines millions of dollars per year in compensation, aircraft damage, and delays due to required post-event inspections and repairs. Moreover, attempts to avoid turbulent airspace cause flight delays and en route deviations that increase air traffic controller workload, disrupt schedules of air crews and passengers and use extra fuel. For these reasons, the Federal Aviation Administration and the National Aeronautics and Space Administration have funded the development of automated turbulence detection, diagnosis and forecasting products. This paper describes a methodology for fusing data from diverse sources and producing a real-time diagnosis of turbulence associated with thunderstorms, a significant cause of weather delays and turbulence encounters that is not well-addressed by current turbulence forecasts. The data fusion algorithm is trained using a retrospective dataset that includes objective turbulence reports from commercial aircraft and collocated predictor data. It is evaluated on an independent test set using several performance metrics including receiver operating characteristic curves, which are used for FAA turbulence product evaluations prior to their deployment. A prototype implementation fuses data from Doppler radar, geostationary satellites, a lightning detection network and a numerical weather prediction model to produce deterministic and probabilistic turbulence assessments suitable for use by air traffic managers, dispatchers and pilots. The algorithm is scheduled to be operationally implemented at the National Weather Service's Aviation Weather Center in 2014.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_313157857-beopen211-4383-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1007/s10994-013-5346-7 http://dx.doi.org/10.1007/s10994-013-5346-7] under the license https://creativecommons.org/licenses/by

* [http://europepmc.org/articles/PMC4627188 http://europepmc.org/articles/PMC4627188]

* [https://dx.doi.org/10.1007/s10994-013-5346-7 https://dx.doi.org/10.1007/s10994-013-5346-7]

* [https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5346-7.pdf https://link.springer.com/content/pdf/10.1007%2Fs10994-013-5346-7.pdf]

* [http://link.springer.com/content/pdf/10.1007/s10994-013-5346-7.pdf http://link.springer.com/content/pdf/10.1007/s10994-013-5346-7.pdf],
: [http://link.springer.com/article/10.1007/s10994-013-5346-7/fulltext.html http://link.springer.com/article/10.1007/s10994-013-5346-7/fulltext.html],
: [http://link.springer.com/content/pdf/10.1007/s10994-013-5346-7 http://link.springer.com/content/pdf/10.1007/s10994-013-5346-7],
: [http://dx.doi.org/10.1007/s10994-013-5346-7 http://dx.doi.org/10.1007/s10994-013-5346-7] under the license cc-by

* [https://link.springer.com/article/10.1007/s10994-013-5346-7 https://link.springer.com/article/10.1007/s10994-013-5346-7],
: [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627188 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627188],
: [https://dblp.uni-trier.de/db/journals/ml/ml95.html#Williams14 https://dblp.uni-trier.de/db/journals/ml/ml95.html#Williams14],
: [https://www.researchgate.net/profile/John_Williams35/publication/257618575_Using_random_forests_to_diagnose_aviation_turbulence/links/0c9605321f6073b2f2000000.pdf https://www.researchgate.net/profile/John_Williams35/publication/257618575_Using_random_forests_to_diagnose_aviation_turbulence/links/0c9605321f6073b2f2000000.pdf],
: [http://europepmc.org/articles/PMC4627188 http://europepmc.org/articles/PMC4627188],
: [https://paperity.org/p/33791037/using-random-forests-to-diagnose-aviation-turbulence https://paperity.org/p/33791037/using-random-forests-to-diagnose-aviation-turbulence],
: [https://dx.doi.org/10.1007/s10994-013-5346-7 https://dx.doi.org/10.1007/s10994-013-5346-7],
: [http://dx.doi.org/10.1007/s10994-013-5346-7 http://dx.doi.org/10.1007/s10994-013-5346-7],
: [http://opensky.ucar.edu/islandora/object/articles%3A13332 http://opensky.ucar.edu/islandora/object/articles%3A13332],
: [https://opensky.ucar.edu:/islandora/object/articles%3A13332/datastream/PDF/view https://opensky.ucar.edu:/islandora/object/articles%3A13332/datastream/PDF/view],
: [https://rd.springer.com/article/10.1007/s10994-013-5346-7 https://rd.springer.com/article/10.1007/s10994-013-5346-7],
: [https://doi.org/10.1007/s10994-013-5346-7 https://doi.org/10.1007/s10994-013-5346-7],
: [https://core.ac.uk/display/81720570 https://core.ac.uk/display/81720570],
: [https://academic.microsoft.com/#/detail/2158158078 https://academic.microsoft.com/#/detail/2158158078] under the license http://creativecommons.org/licenses/by/2.0

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Williams 2013a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 313157857 to Williams 2013a

Scipediacontent: Created page with " == Abstract == mospheric turbulence poses a significant hazard to aviation, with severe encounters costing airlines millions of dollars per year in compensation, aircraft da..."