Improvement of Mountain-Wave Turbulence Forecasts in NOAA’s Rapid Refresh (RAP) Model with the Hybrid Vertical Coordinate System

Jung-Hoon Kim Seoul National University, Seoul, South Korea

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Robert D. Sharman National Center for Atmospheric Research, Boulder, Colorado

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Stanley G. Benjamin National Oceanic and Atmospheric Administration/Earth System Research Laboratory, Boulder, Colorado

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John M. Brown National Oceanic and Atmospheric Administration/Earth System Research Laboratory, Boulder, Colorado

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Sang-Hun Park Yonsei University, Seoul, South Korea

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Joseph B. Klemp National Center for Atmospheric Research, Boulder, Colorado

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Abstract

Spurious mountain-wave features have been reported as false alarms of light-or-stronger numerical weather prediction (NWP)-based cruise level turbulence forecasts especially over the western mountainous region of North America. To reduce this problem, a hybrid sigma–pressure vertical coordinate system was implemented in NOAA’s operational Rapid Refresh model, version 4 (RAPv4), which has been running in parallel with the conventional terrain-following coordinate system of RAP version 3 (RAPv3). Direct comparison of vertical velocity |w| fields from the RAPv4 and RAPv3 models shows that the new RAPv4 model significantly reduces small-scale spurious vertical velocities induced by the conventional terrain-following coordinate system in the RAPv3. For aircraft-scale turbulence forecasts, |w| and |w|/Richardson number (|w|/Ri) derived from both the RAPv4 and RAPv3 models are converted into energy dissipation rate (EDR) estimates. Then, those EDR-scaled indices are evaluated using more than 1.2 million in situ EDR turbulence reports from commercial aircraft for 4 months (September–December 2017). Scores of the area under receiver operating characteristic curves for the |w|- and |w|/Ri-based EDR forecasts from the RAPv4 are 0.69 and 0.83, which is statistically significantly improved over the RAPv3 of 0.63 and 0.77, respectively. The new RAPv4 became operational on 12 July 2018 and provides better guidance for operational turbulence forecasting over North America.

© 2019 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Prof. Jung-Hoon Kim, jhkim99@snu.ac.kr

Abstract

Spurious mountain-wave features have been reported as false alarms of light-or-stronger numerical weather prediction (NWP)-based cruise level turbulence forecasts especially over the western mountainous region of North America. To reduce this problem, a hybrid sigma–pressure vertical coordinate system was implemented in NOAA’s operational Rapid Refresh model, version 4 (RAPv4), which has been running in parallel with the conventional terrain-following coordinate system of RAP version 3 (RAPv3). Direct comparison of vertical velocity |w| fields from the RAPv4 and RAPv3 models shows that the new RAPv4 model significantly reduces small-scale spurious vertical velocities induced by the conventional terrain-following coordinate system in the RAPv3. For aircraft-scale turbulence forecasts, |w| and |w|/Richardson number (|w|/Ri) derived from both the RAPv4 and RAPv3 models are converted into energy dissipation rate (EDR) estimates. Then, those EDR-scaled indices are evaluated using more than 1.2 million in situ EDR turbulence reports from commercial aircraft for 4 months (September–December 2017). Scores of the area under receiver operating characteristic curves for the |w|- and |w|/Ri-based EDR forecasts from the RAPv4 are 0.69 and 0.83, which is statistically significantly improved over the RAPv3 of 0.63 and 0.77, respectively. The new RAPv4 became operational on 12 July 2018 and provides better guidance for operational turbulence forecasting over North America.

© 2019 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Prof. Jung-Hoon Kim, jhkim99@snu.ac.kr
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  • Benjamin, S. G., and Coauthors, 2016: A North American hourly assimilation and model forecast cycle: The Rapid Refresh. Mon. Wea. Rev., 144, 16691694, https://doi.org/10.1175/MWR-D-15-0242.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cornman, L. B., 2016: Airborne in situ measurements of turbulence. Aviation Turbulence: Processes, Detection, Prediction, R. Sharman and T. Lane, Eds., Springer, 97–120, https://doi.org/10.1007/978-3-319-23630-8_5.

    • Crossref
    • Export Citation
  • Elvidge, A. D., S. B. Vosper, H. Wells, J. C. H. Cheung, S. H. Derbyshire, and D. Turp, 2017: Moving towards a wave-resolved approach to forecasting mountain wave induced clear air turbulence. Meteor. Appl., 24, 540550, https://doi.org/10.1002/met.1656.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • International Civil Aviation Organization, 2010: Meteorological service for international air navigation. Annex 3 to the Convention on International Civil Aviation, 17th ed. ICAO International Standards and Recommended Practices Tech. Annex, 206 pp.

  • Kim, J.-H., and H.-Y. Chun, 2010: A numerical study of Clear-Air Turbulence (CAT) encounters over South Korea on 2 April 2007. J. Appl. Meteor. Climatol., 49, 23812403, https://doi.org/10.1175/2010JAMC2449.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, J.-H., and H.-Y. Chun, 2011: Statistics and possible sources of aviation turbulence over South Korea. J. Appl. Meteor. Climatol., 50, 311324, https://doi.org/10.1175/2010JAMC2492.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, J.-H., H.-Y. Chun, R. D. Sharman, and T. L. Keller, 2011: Evaluations of upper-level turbulence diagnostics performance using the Graphical Turbulence Guidance (GTG) system and Pilot Reports (PIREPs) over East Asia. J. Appl. Meteor. Climatol., 50, 19361951, https://doi.org/10.1175/JAMC-D-10-05017.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, J.-H., W. N. Chan, B. Sridhar, and R. D. Sharman, 2015: Combined winds and turbulence prediction system for automated air-traffic management applications. J. Appl. Meteor. Climatol., 54, 766784, https://doi.org/10.1175/JAMC-D-14-0216.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kim, J.-H., R. Sharman, M. Strahan, J. Scheck, C. Bartholomew, J. Cheung, P. Buchanan, and N. Gait, 2018: Improvements in nonconvective aviation turbulence prediction for the World Area Forecast System (WAFS). Bull. Amer. Meteor. Soc., 99, 22952311, https://doi.org/10.1175/BAMS-D-17-0117.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Klemp, J. B., 2011: A terrain-following coordinate with smoothed coordinate surfaces. Mon. Wea. Rev., 139, 21632169, https://doi.org/10.1175/MWR-D-10-05046.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lane, T. P., J. D. Doyle, R. Plougonven, M. A. Shapiro, and R. D. Sharman, 2004: Observations and numerical simulations of inertia–gravity waves and shearing instabilities in the vicinity of a jet stream. J. Atmos. Sci., 61, 26922706, https://doi.org/10.1175/JAS3305.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lane, T. P., J. D. Doyle, R. D. Sharman, M. A. Shapiro, and C. D. Watson, 2009: Statistics and dynamics of aircraft encounters of turbulence over Greenland. Mon. Wea. Rev., 137, 26872702, https://doi.org/10.1175/2009MWR2878.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Park, S.-H., J.-H. Kim, R. D. Sharman, and J. B. Klemp, 2016: Update of upper level turbulence forecast by reducing unphysical components of topography in the numerical weather prediction model. Geophys. Res. Lett., 43, 77187724, https://doi.org/10.1002/2016GL069446.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Park, S.-H., J. B. Klemp, and J.-H. Kim, 2019: Hybrid mass coordinate in WRF-ARW and its impact on upper-level turbulence forecasting. Mon. Wea. Rev., 147, 971985, https://doi.org/10.1175/MWR-D-18-0334.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Phillips, N. A., 1957: A coordinate system having some special advantages for numerical forecasting. J. Meteor., 14, 184185, https://doi.org/10.1175/1520-0469(1957)014<0184:ACSHSS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Powers, J. G., and Coauthors, 2017: The Weather Research and Forecasting Model: Overview, system efforts, and future directions. Bull. Amer. Meteor. Soc., 98, 17171737, https://doi.org/10.1175/BAMS-D-15-00308.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sharman, R. D., and T. Lane, Eds., 2016: Aviation Turbulence: Processes, Detection, Prediction. Springer, 523 pp., https://doi.org/10.1007/978-3-319-23630-8.

    • Crossref
    • Export Citation
  • Sharman, R. D., and J. Pearson, 2017: Prediction of energy dissipation rates for aviation turbulence. Part I: Forecasting nonconvective turbulence. J. Appl. Meteor. Climatol., 56, 317337, https://doi.org/10.1175/JAMC-D-16-0205.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sharman, R. D., C. Tebaldi, G. Wiener, and J. Wolff, 2006: An integrated approach to mid- and upper-level turbulence forecasting. Wea. Forecasting, 21, 268287, https://doi.org/10.1175/WAF924.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sharman, R. D., J. D. Doyle, and M. A. Shapiro, 2012a: An investigation of a commercial aircraft encounter with severe clear-air turbulence over western Greenland. J. Appl. Meteor. Climatol., 51, 4253, https://doi.org/10.1175/JAMC-D-11-044.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sharman, R. D., S. B. Trier, T. P. Lane, and J. D. Doyle, 2012b: Sources and dynamics of turbulence in the upper troposphere and lower stratosphere: A review. Geophys. Res. Lett., 39, L12803, https://doi.org/10.1029/2012GL051996 .

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sharman, R. D., L. B. Cornman, G. Meymaris, J. Pearson, and T. Farrar, 2014: Description and derived climatologies of automated in situ eddy-dissipation-rate reports of atmospheric turbulence. J. Appl. Meteor. Climatol., 53, 14161432, https://doi.org/10.1175/JAMC-D-13-0329.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note NCAR/TN-475+STR, 113 pp., https://doi.org/10.5065/D68S4MVH.

    • Crossref
    • Export Citation
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