Climate Dynamics

, Volume 46, Issue 7–8, pp 2115–2122 | Cite as

Variability in projected elevation dependent warming in boreal midlatitude winter in CMIP5 climate models and its potential drivers

  • Imtiaz Rangwala
  • Eric Sinsky
  • James R. Miller


The future rate of climate change in mountains has many potential human impacts, including those related to water resources, ecosystem services, and recreation. Analysis of the ensemble mean response of CMIP5 global climate models (GCMs) shows amplified warming in high elevation regions during the cold season in boreal midlatitudes. We examine how the twenty-first century elevation-dependent response in the daily minimum surface air temperature [d(ΔTmin)/dz] varies among 27 different GCMs during winter for the RCP 8.5 emissions scenario. The focus is on regions within the northern hemisphere mid-latitude band between 27.5°N and 40°N, which includes both the Rocky Mountains and the Tibetan Plateau/Himalayas. We find significant variability in d(ΔTmin)/dz among the individual models ranging from 0.16 °C/km (10th percentile) to 0.97 °C/km (90th percentile), although nearly all of the GCMs (24 out of 27) show a significant positive value for d(ΔTmin)/dz. To identify some of the important drivers associated with the variability in d(ΔTmin)/dz during winter, we evaluate the co-variance between d(ΔTmin)/dz and the differential response of elevation-based anomalies in different climate variables as well as the GCMs’ spatial resolution, their global climate sensitivity, and their elevation-dependent free air temperature response. We find that d(ΔTmin)/dz has the strongest correlation with elevation-dependent increases in surface water vapor, followed by elevation-dependent decreases in surface albedo, and a weak positive correlation with the GCMs’ free air temperature response.


Elevation dependent warming Mountains Rocky Mountains Tibetan Plateau Water vapor Snow albedo Feedbacks Temperature EDW Winter CMIP5 GCM 



We thank the two anonymous reviewers for their time and helpful suggestions. This research is supported by the National Science Foundation Grants: AGS-1064326 and AGS-1064281. We acknowledge KNMI and ESGF data portals for access to CMIP5 data. We thank C. Naud and J. Barsugli for helpful comments.


  1. Beniston M, Diaz H, Bradley R (1997) Climatic change at high elevation sites: an overview. Clim Change 36:233–251CrossRefGoogle Scholar
  2. Betts AK, Desjardins R, Worth D (2013) Cloud radiative forcing of the diurnal cycle climate of the Canadian Prairies. J Geophys Res Atmos 118:8935–8953CrossRefGoogle Scholar
  3. Betts AK, Desjardins R, Worth D, Wang S, Li J (2014) Coupling of winter climate transitions to snow and clouds over the Prairies. J Geophys Res Atmos 119:1118–1139CrossRefGoogle Scholar
  4. Bony S et al (2006) How well do we understand and evaluate climate change feedback processes? J Clim 19:3445–3482CrossRefGoogle Scholar
  5. Bradley RS, Vuille M, Diaz HF, Vergara W (2006) Threats to water supplies in the tropical andes. Science 312:1755–1756CrossRefGoogle Scholar
  6. Collins M et al (2013) Long-term climate change: projections, commitments and irreversibility. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 1029–1136Google Scholar
  7. Forsythe N et al (2014) Application of a stochastic weather generator to assess climate change impacts in a semi-arid climate: the Upper Indus Basin. J Hydrol 517:1019–1034CrossRefGoogle Scholar
  8. Fyfe JC, Flato GM (1999) Enhanced climate change and its detection over the Rocky Mountains. J Clim 12:230–243CrossRefGoogle Scholar
  9. Ghatak D, Sinsky E, Miller J (2014) Role of snow-albedo feedback in higher elevation warming over the Himalayas, Tibetan Plateau and Central Asia. Environ Res Lett 9:114008CrossRefGoogle Scholar
  10. Liu X, Chen B (2000) Climatic warming in the Tibetan Plateau during recent decades. Int J Climatol 20:1729–1742CrossRefGoogle Scholar
  11. Liu X, Cheng Z, Yan L, Yin Z (2009) Elevation dependency of recent and future minimum surface air temperature trends in the Tibetan Plateau and its surroundings. Glob Planet Change 68:164–174CrossRefGoogle Scholar
  12. Messerli B, Ives JD (1997) Mountains of the world: a global priority. Parthenon Publishing Group, NashvilleGoogle Scholar
  13. Naud CM, Chen Y, Rangwala I, Miller JR (2013) Sensitivity of downward longwave surface radiation to moisture and cloud changes in a high-elevation region. J Geophys Res Atmos 118:10072–10081CrossRefGoogle Scholar
  14. Naud CM, Rangwala I, Xu M, Miller JR (2014) A satellite view of the radiative impact of clouds on surface downward fluxes in the Tibetan Plateau. J Appl Meteorol Climatol 54:479–493CrossRefGoogle Scholar
  15. Ohmura A (2012) Enhanced temperature variability in high-altitude climate change. Theor Appl Climatol 110:499–508CrossRefGoogle Scholar
  16. Pepin N, Losleben M (2002) Climate change in the Colorado Rocky Mountains: free air versus surface temperature trends. Int J Climatol 22:311–329CrossRefGoogle Scholar
  17. Pepin N, Lundquist J (2008) Temperature trends at high elevations: patterns across the globe. Geophys Res Lett 35:L14701CrossRefGoogle Scholar
  18. Rangwala I (2013) Amplified water vapour feedback at high altitudes during winter. Int J Climatol 33:897–903CrossRefGoogle Scholar
  19. Rangwala I, Miller JR (2012) Climate change in mountains: a review of elevation-dependent warming and its possible causes. Clim Change 114:527–547CrossRefGoogle Scholar
  20. Rangwala I, Miller JR, Xu M (2009) Warming in the Tibetan Plateau: possible influences of the changes in surface water vapor. Geophys Res Lett 36:L06703CrossRefGoogle Scholar
  21. Rangwala I, Miller JR, Russell GL, Xu M (2010) Using a global climate model to evaluate the influences of water vapor, snow cover and atmospheric aerosol on warming in the Tibetan Plateau during the twenty-first century. Clim Dyn 34:859–872CrossRefGoogle Scholar
  22. Rangwala I, Barsugli J, Cozzetto K, Neff J, Prairie J (2012) Mid-21st century projections in temperature extremes in the southern Colorado Rocky Mountains from regional climate models. Clim Dyn 39:1823–1840CrossRefGoogle Scholar
  23. Rangwala I, Sinsky E, Miller JR (2013) Amplified warming projections for high altitude regions of the northern hemisphere mid-latitudes from CMIP5 models. Environ Res Lett 8:024040CrossRefGoogle Scholar
  24. Rebetez M, Reinhard M (2008) Monthly air temperature trends in Switzerland 1901–2000 and 1975–2004. Theor Appl Climatol 91:27–34CrossRefGoogle Scholar
  25. Ruckstuhl C, Philipona R, Morland J, Ohmura A (2007) Observed relationship between surface specific humidity, integrated water vapor, and longwave downward radiation at different altitudes. J Geophys Res 112:D03302CrossRefGoogle Scholar
  26. Rull V, Vegas-Vilarrubia T (2006) Unexpected biodiversity loss under global warming in the neotropical Guayana Highlands: a preliminary appraisal. Glob Change Biol 12:1–9CrossRefGoogle Scholar
  27. Stewart IT (2009) Changes in snowpack and snowmelt runoff for key mountain regions. Hydrol Process 23:78–94CrossRefGoogle Scholar
  28. Trujillo E, Molotch NP, Goulden ML, Kelly AE, Bales RC (2012) Elevation-dependent influence of snow accumulation on forest greening. Nature Geosciences 5:705–709CrossRefGoogle Scholar
  29. Vuuren D et al (2011) The representative concentration pathways: an overview. Clim Change 109:5–31CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Imtiaz Rangwala
    • 1
    • 2
  • Eric Sinsky
    • 3
  • James R. Miller
    • 4
  1. 1.Western Water Assessment, Cooperative Institute for Research in Environmental SciencesUniversity of ColoradoBoulderUSA
  2. 2.Physical Sciences DivisionNOAA ESRLBoulderUSA
  3. 3.Department of Marine SciencesUniversity of ConnecticutGrotonUSA
  4. 4.Department of Marine and Coastal SciencesRutgers UniversityNew BrunswickUSA

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