Estimating the Response of Extreme Precipitation over Midlatitude Mountains to Global Warming

Xiaoming Shi Department of Atmospheric Sciences, University of Washington, Seattle, Washington

Search for other papers by Xiaoming Shi in
Current site
Google Scholar
PubMed
Close
and
Dale R. Durran Department of Atmospheric Sciences, University of Washington, Seattle, Washington

Search for other papers by Dale R. Durran in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Global warming–induced changes in extreme orographic precipitation are investigated using a hierarchy of models: a global climate model, a limited-area weather forecast model, and a linear mountain wave model. The authors consider precipitation changes over an idealized north–south midlatitude mountain barrier at the western margin of an otherwise flat continent. The intensities of the extreme events on the western slopes increase by approximately 4% K−1 of surface warming, close to the “thermodynamic” sensitivity of vertically integrated condensation in those events due to temperature variations when vertical motions stay constant. In contrast, the intensities of extreme events on the eastern mountain slopes increase at about 6% K−1. This higher sensitivity is due to enhanced ascent during the eastern-slope events, which can be explained in terms of linear mountain wave theory as arising from global warming–induced changes in the upper-tropospheric static stability and the tropopause level. Similar changes to these two parameters also occur for the western-slope events, but the cross-mountain flow is much stronger in those events; as a consequence, linear theory predicts no increase in the western-slope vertical velocities. Extreme western-slope events tend to occur in winter, whereas those on the eastern side are most common in summer. Doubling CO2 not only increases the precipitation, but during extreme western slope events it shifts much of the precipitation from snow to rain, potentially increasing the risk of heavy runoff and flooding.

Corresponding author address: Xiaoming Shi, Box 351640, Department of Atmospheric Sciences, University of Washington, Seattle, WA 98195. E-mail: shixm@atmos.washington.edu

Abstract

Global warming–induced changes in extreme orographic precipitation are investigated using a hierarchy of models: a global climate model, a limited-area weather forecast model, and a linear mountain wave model. The authors consider precipitation changes over an idealized north–south midlatitude mountain barrier at the western margin of an otherwise flat continent. The intensities of the extreme events on the western slopes increase by approximately 4% K−1 of surface warming, close to the “thermodynamic” sensitivity of vertically integrated condensation in those events due to temperature variations when vertical motions stay constant. In contrast, the intensities of extreme events on the eastern mountain slopes increase at about 6% K−1. This higher sensitivity is due to enhanced ascent during the eastern-slope events, which can be explained in terms of linear mountain wave theory as arising from global warming–induced changes in the upper-tropospheric static stability and the tropopause level. Similar changes to these two parameters also occur for the western-slope events, but the cross-mountain flow is much stronger in those events; as a consequence, linear theory predicts no increase in the western-slope vertical velocities. Extreme western-slope events tend to occur in winter, whereas those on the eastern side are most common in summer. Doubling CO2 not only increases the precipitation, but during extreme western slope events it shifts much of the precipitation from snow to rain, potentially increasing the risk of heavy runoff and flooding.

Corresponding author address: Xiaoming Shi, Box 351640, Department of Atmospheric Sciences, University of Washington, Seattle, WA 98195. E-mail: shixm@atmos.washington.edu
Save
  • Beniston, M., 2005: Mountain climates and climatic change: An overview of processes focusing on the European Alps. Pure Appl. Geophys., 162, 15871606, doi:10.1007/s00024-005-2684-9.

    • Search Google Scholar
    • Export Citation
  • Cannon, D. J., D. J. Kirshbaum, and S. L. Gray, 2012: Under what conditions does embedded convection enhance orographic precipitation? Quart. J. Roy. Meteor. Soc., 138, 391406, doi:10.1002/qj.926.

    • Search Google Scholar
    • Export Citation
  • Diffenbaugh, N. S., J. S. Pal, R. J. Trapp, and F. Giorgi, 2005: Fine-scale processes regulate the response of extreme events to global climate change. Proc. Natl. Acad. Sci. USA, 102, 15 77415 778, doi:10.1073/pnas.0506042102.

    • Search Google Scholar
    • Export Citation
  • Durran, D. R., 1992: Two-layer solutions to Long’s equation for vertically propagating mountain waves: How good is linear theory? Quart. J. Roy. Meteor. Soc., 118, 415433, doi:10.1002/qj.49711850502.

    • Search Google Scholar
    • Export Citation
  • Emori, S., and S. Brown, 2005: Dynamic and thermodynamic changes in mean and extreme precipitation under changed climate. Geophys. Res. Lett.,32, L17706, doi:10.1029/2005GL023272.

  • Frierson, F. M. W., 2006: Robust increases in midlatitude static stability in simulations of global warming. Geophys. Res. Lett.,33, L24816, doi:10.1029/2006GL027504.

  • Hamlet, A. F., and D. P. Lettenmaier, 2007: Effects of 20th century warming and climate variability on flood risk in the western U.S. Water Resour. Res.,43, W06427, doi:10.1029/2006WR005099.

  • Jiang, Q., 2003: Moist dynamics and orographic precipitation. Tellus, 55A, 301316, doi:10.1034/j.1600-0870.2003.00025.x.

  • Kharin, V. V., F. W. Zwiers, X. Zhang, and G. C. Hegerl, 2007: Changes in temperature and precipitation extremes in the IPCC ensemble of global coupled model simulations. J. Climate, 20, 1419–1444, doi:10.1175/JCLI4066.1.

    • Search Google Scholar
    • Export Citation
  • Kirshbaum, D. J., and R. B. Smith, 2008: Temperature and moist-stability effects on midlatitude orographic precipitation. Quart. J. Roy. Meteor. Soc., 134, 11831199, doi:10.1002/qj.274.

    • Search Google Scholar
    • Export Citation
  • Klemp, J. B., and D. R. Lilly, 1975: The dynamics of wave-induced downslope winds. J. Atmos. Sci., 32, 320339, doi:10.1175/1520-0469(1975)032<0320:TDOWID>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Kushner, P. J., I. M. Held, and T. L. Delworth, 2001: Southern Hemisphere atmospheric circulation response to global warming. J. Climate, 14, 22382249, doi:10.1175/1520-0442(2001)014<0001:SHACRT>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Lavers, D. A., and G. Villarini, 2013: The nexus between atmospheric rivers and extreme precipitation across Europe. Geophys. Res. Lett., 40, 32593264, doi:10.1002/grl.50636.

    • Search Google Scholar
    • Export Citation
  • Lavers, D. A., G. Villarini, R. P. Allan, E. F. Wood, and A. J. Wade, 2012: The detection of atmospheric rivers in atmospheric reanalyses and their links to British winter floods and the large-scale climatic circulation. J. Geophys. Res.,117, D20106, doi:10.1029/2012JD018027.

  • Lin, Y.-L., S. Chiao, T.-A. Wang, M. L. Kaplan, and R. P. Weglarz, 2001: Some common ingredients for heavy orographic rainfall. Wea. Forecasting, 16, 633660, doi:10.1175/1520-0434(2001)016<0633:SCIFHO>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Maddox, R., L. Hoxit, C. Chappell, and F. Caracena, 1978: Comparison of meteorological aspects of the Big Thompson and Rapid City flash floods. Mon. Wea. Rev., 106, 375389, doi:10.1175/1520-0493(1978)106<0375:COMAOT>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Marsaglia, G., W. W. Tsang, and J. Wang, 2003: Evaluating Kolmogorov’s distribution. J. Stat. Softw., 8 (18), 1–4.

  • Miller, L. H., 1956: Table of percentage points of Kolmogorov statistics. J. Amer. Stat. Assoc., 51, 111121, doi:10.1080/01621459.1956.10501314.

    • Search Google Scholar
    • Export Citation
  • Minder, J. R., D. R. Durran, and G. H. Roe, 2011: Mesoscale controls on the mountainside snow line. J. Atmos. Sci., 68, 21072127, doi:10.1175/JAS-D-10-05006.1.

    • Search Google Scholar
    • Export Citation
  • O’Gorman, P. A., 2012: Sensitivity of tropical precipitation extremes to climate change. Nat. Geosci., 5, 697700, doi:10.1038/ngeo1568.

    • Search Google Scholar
    • Export Citation
  • O’Gorman, P. A., and T. Schneider, 2009a: The physical basis for increases in precipitation extremes in simulations of 21st-century climate change. Proc. Natl. Acad. Sci. USA, 106, 14 77314 777, doi:10.1073/pnas.0907610106.

    • Search Google Scholar
    • Export Citation
  • O’Gorman, P. A., and T. Schneider, 2009b: Scaling of precipitation extremes over a wide range of climates simulated with an idealized GCM. J. Climate, 22, 56765685, doi:10.1175/2009JCLI2701.1.

    • Search Google Scholar
    • Export Citation
  • Ralph, F. M., P. J. Neiman, G. A. Wick, S. I. Gutman, M. D. Dettinger, D. R. Cayan, and A. B. White, 2006: Flooding on California’s Russian River: Role of atmospheric rivers. Geophys. Res. Lett., 33, L13801, doi:10.1029/2006GL026689.

    • Search Google Scholar
    • Export Citation
  • Rasmussen, K. L., and R. A. Houze, 2012: A flash-flooding storm at the steep edge of high terrain. Bull. Amer. Meteor. Soc., 93, 17131724, doi:10.1175/BAMS-D-11-00236.1.

    • Search Google Scholar
    • Export Citation
  • Santer, B. D., and Coauthors, 2003: Contributions of anthropogenic and natural forcing to recent tropopause height changes. Science, 301, 479483, doi:10.1126/science.1084123.

    • Search Google Scholar
    • Export Citation
  • Schwartz, C. S., 2014: Reproducing the September 2013 record-breaking rainfall over the Colorado Front Range with high-resolution WRF forecasts. Wea. Forecasting, 29, 393402, doi:10.1175/WAF-D-13-00136.1.

    • Search Google Scholar
    • Export Citation
  • Shi, X., and D. R. Durran, 2014: The response of orographic precipitation over idealized midlatitude mountains due to global increases in CO2. J. Climate, 27, 39383956, doi:10.1175/JCLI-D-13-00460.1.

    • Search Google Scholar
    • Export Citation
  • Siler, N., and G. Roe, 2014: How will orographic precipitation respond to surface warming? An idealized thermodynamic perspective. Geophys. Res. Lett., 41, 26062613, doi:10.1002/2013GL059095.

    • Search Google Scholar
    • Export Citation
  • Siler, N., and D. Durran, 2015: Assessing the impact of the tropopause on mountain waves and orographic precipitation using linear theory and numerical simulations. J. Atmos. Sci., 72, 803820, doi:10.1175/JAS-D-14-0200.1.

    • Search Google Scholar
    • Export Citation
  • Singh, D., M. Tsiang, B. Rajaratnam, and N. S. Diffenbaugh, 2013: Precipitation extremes over the continental United States in a transient, high-resolution, ensemble climate model experiment. J. Geophys. Res. Atmos., 118, 70637086, doi:10.1002/jgrd.50543.

    • Search Google Scholar
    • Export Citation
  • Singh, M. S., and P. A. O’Gorman, 2014: Influence of microphysics on the scaling of precipitation extremes with temperature. Geophys. Res. Lett., 41, 60376044, doi:10.1002/2014GL061222.

    • 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.

  • Warner, M. D., C. F. Mass, and E. P. Salathé Jr., 2012: Wintertime extreme precipitation events along the Pacific Northwest coast: Climatology and synoptic evolution. Mon. Wea. Rev., 140, 20212043, doi:10.1175/MWR-D-11-00197.1.

    • Search Google Scholar
    • Export Citation
  • Wehner, M. F., 2013: Very extreme seasonal precipitation in the NARCCAP ensemble: Model performance and projections. Climate Dyn., 40, 5980, doi:10.1007/s00382-012-1393-1.

    • Search Google Scholar
    • Export Citation
  • White, A. B., D. J. Gottas, E. T. Strem, F. M. Ralph, and P. J. Neiman, 2002: An automated brightband height detection algorithm for use with Doppler radar spectral moments. J. Atmos. Oceanic Technol., 19, 687697, doi:10.1175/1520-0426(2002)019<0687:AABHDA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Yin, J. H., 2005: A consistent poleward shift of the storm tracks in simulations of 21st century climate. Geophys. Res. Lett.,32, L18701, doi:10.1029/2005GL023684.

  • Zhao, M., I. M. Held, S.-J. Lin, and G. A. Vecchi, 2009: Simulations of global hurricane climatology, interannual variability, and response to global warming using a 50-km resolution GCM. J. Climate, 22, 66536678, doi:10.1175/2009JCLI3049.1.

    • Search Google Scholar
    • Export Citation
  • Zhu, Y., and R. E. Newell, 1994: Atmospheric rivers and bombs. Geophys. Res. Lett., 21, 19992002, doi:10.1029/94GL01710.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 842 461 26
PDF Downloads 414 123 18