Abstract
A summary of turbulence forecasting by the US National Weather Service (NWS) is provided. This chapter begins with a historical perspective, beginning with the Wright brothers and ending with NextGen. Following the historical perspective, present-day aviation-based meteorological operations are described. This discussion covers the services provided by the NWS and its partners and includes a foundational summary of present-day (2015) forecasting techniques. This chapter closes with a narrative on current and future prediction, built around numerical models and ensemble systems. These systems will drive intelligent information extraction and decision support services provided by operational meteorologists, leading to a safer and weather-ready airspace.
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References
Congressional Record: 69th Congress, 1st session, 20 May 1926. 44 Stat. 568
Congressional Record: 85th Congress, 2nd Session, 23 Aug 1958, 72 Stat. 731, Public Law 85-726
Congressional Record: 112th Congress, 2nd Session, 14 Feb 2012. 126 Stat. 11, Public Law 112-95
Ellrod, G.P., Knapp, D.L.: An objective clear-air turbulence forecasting technique: Verification and operational use. Weather Forecast. 7, 150–165 (1992)
Endlich, R.M.: The mesoscale structure of some regions of clear-air turbulence. J. Appl. Meteorol. 3, 261–276 (1964)
Ellrod, G.P., Knox, J.A.: Improvements to an operational clear-air turbulence diagnostic index by addition of a divergence trend term. Weather Forecast. 25, 789–798 (2010)
FAA: Aeronautical Information Manual: Official Guide to Basic Flight Information and ATC Procedures. http://www.faa.gov/atpubs (2014)
Fujita, T.T.: Mesoscale classifications: their history and their application to forecasting. In: Ray, P.S. (ed.) Mesoscale Meteorology and Forecasting, pp. 18–35. American Meteorological Society, Boston (1986)
ICAO: Annex 3 Meteorological Service for International Air Navigation, 18th edn, Chapter 3, pp. 2–3 (2013)
Kain, J.S., Weiss, S.J., Levit, J.J., Baldwin, M.E., Bright, D.R.: Examination of convection-allowing configurations of the WRF model for the prediction of severe convective weather: the SPC/NSSL spring program 2004. Weather Forecast. 21, 167–181 (2006)
Knox, J.A.: Possible mechanisms of clear-air turbulence in strongly anticyclonic flows. Mon. Weather Rev. 125, 1251–1259 (1997)
McCann, D.: Gravity waves, unbalanced flows, and aircraft clear air turbulence. Nat. Weather Dig. 25(1, 2), 3–14 (2001)
NOAA: http://www.ppi.noaa.gov/wp-content/uploads/NOAA_NGSP.pdf (2010)
NOAA: http://www.nws.noaa.gov/com/weatherreadynation/#.VXYONkZqM1V (2012)
NOAA: http://www.noaanews.noaa.gov/stories2013/2013029_supercomputers.html (2013)
NOAA: http://www.nssl.noaa.gov/projects/facets/ (2014)
NOAA: http://www.ncep.noaa.gov/director/strategic_plan/strategic_plan.pdf (2015)
NTSB: http://www.ntsb.gov/safety/mwl/Pages/mwl7_2014.aspx (2014)
Novak, D.R., Bright, D.R., Brennan, M.: Operational forecaster uncertainty needs and future roles. Weather Forecast. 23, 1069–1084 (2008)
Orlanski, I.: A rational subdivision of scales for atmospheric processes. Bull. Am. Meteorol. Soc. 56, 527–530 (1975)
Ralph, F.M., Intrieri, J., Andra Jr., D., Atlas, R., Boukabara, S., Bright, D., Davidson, P., Entwistle, B., Gaynor, J., Goodman, S., Jiing, J.-G., Harless, A., Huang, J., Jedlovec, G., Kain, J., Koch, S., Kuo, B., Levit, J., Murillo, S., Riishojgaard, L.P., Schneider, T., Schneider, R., Smith, T., Weiss, S.: The emergence of weather-related test beds linking research and forecasting operations. Bull. Am. Meteorol. Soc. 94, 1187–1211 (2013)
Schwartz, B.: The quantitative use of PIREPs in developing aviation weather guidance products. Weather Forecast. 11, 372–384 (1996)
Sharman, R.D., Cornman, L.B., Meymaris, G., Pearson, J., Farrar, T.: Description and derived climatologies of automated in situ eddy dissipation rate reports of atmospheric turbulence. J. Appl. Meteor. Climatol. 53(6), 1416–1432 (2014). doi:10.1175/JAMC-D-13-0329.1
Sobash, R.A., Kain, J.S., Bright, D.R., Dean, A.R., Coniglio, M.C., Weiss, S.J.: Probabilistic forecast guidance for severe thunderstorms based on the identification of extreme phenomena in convection-allowing model forecasts. Weather Forecast. 26, 714–728 (2011)
Stensrud, D.J., Wicker, L.J., Kelleher, K.E., Xue, M., Foster, M.P., Schaefer, J.T., Schneider, R.S., Benjamin, S.G., Weygandt, S.S., Ferree, J.T., Tuell, J.P.: Convective-scale warn-on-forecast system. Bull. Am. Meteorol. Soc. 90, 1487–1499 (2009)
Stull, R.B.: An Introduction to Boundary Layer Meteorology. Kluwer, Dordrecht (1988)
Whitnah, D.R.: A History of the United States Weather Bureau, 267 pp. University of Illinois Press, Urbana (1961)
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Bright, D.R., Lack, S.A., Sparks, J.A. (2016). A Summary of Turbulence Forecasting Techniques Used by the National Weather Service. In: Sharman, R., Lane, T. (eds) Aviation Turbulence. Springer, Cham. https://doi.org/10.1007/978-3-319-23630-8_10
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DOI: https://doi.org/10.1007/978-3-319-23630-8_10
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