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Modern and glacial tropical snowlines controlled by sea surface temperature and atmospheric mixing

Abstract

During the Last Glacial Maximum, tropical sea surface temperatures were 1 to 3 °C cooler than present1,2,3,4, but the altitude of the snowlines of tropical glaciers5,6 was lower than would be expected in light of these sea surface temperatures. Indeed, both glacial and twentieth-century snowlines seem to require lapse rates that are steeper than a moist adiabat7,8. Here we use estimates of Last Glacial Maximum sea surface temperature in the Indo-Pacific warm pool based on the clumped isotope palaeotemperature proxy in planktonic foraminifera and coccoliths, along with radiative–convective calculations of vertical atmospheric thermal structure, to assess the controls on tropical glacier snowlines. Using extensive new data sets for the region, we demonstrate that mean environmental lapse rates are steeper than moist adiabatic during the recent and glacial. We reconstruct glacial sea surface temperatures 4 to 5 °C cooler than modern. We include modern and glacial sea surface temperatures in calculations of atmospheric convection that account for mixing between rising air and ambient air, and derive tropical glacier snowlines with altitudes consistent with twentieth-century and Last Glacial Maximum reconstructions. Sea surface temperature changes 3 °C are excluded unless glacial relative humidity values were outside the range associated with deep convection in the modern. We conclude that the entrainment of ambient air into rising air masses significantly alters the vertical temperature structure of the troposphere in modern and ancient regions of deep convection. Furthermore, if all glacial tropical temperatures were cooler than previously estimated, it would imply a higher equilibrium climate sensitivity than included in present models9,10.

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Figure 1: Sites studied.
Figure 2: LGM–recent changes in warm pool.
Figure 3: Temperature profiles.
Figure 4: Comparison of simulated changes in regional SSTs with global-scale changes for past and future.

References

  1. 1

    CLIMAP Project Members, The surface of the ice age earth. Science 191, 1131–1137 (1976).

    Article  Google Scholar 

  2. 2

    MARGO Project Members, Constraints on the magnitude and patterns of ocean cooling at the Last Glacial Maximum. Nature Geosci. 2, 127–132 (2009).

    Article  Google Scholar 

  3. 3

    Lea, D., Pak, D. & Spero, H. Climate impact of Late Quaternary equatorial Pacific sea surface temperature variations. Science 289, 1719–1724 (2000).

    Article  Google Scholar 

  4. 4

    De Garidel-Thoron, T. et al. A multiproxy assessment of the western equatorial Pacific hydrography during the last 30 kyr. Paleoceanography 22, PA3204 (2007).

    Article  Google Scholar 

  5. 5

    Porter, S. Snowline depression in the tropics during the last glaciation. Quat. Sci. Rev. 20, 1067–1091 (2001).

    Article  Google Scholar 

  6. 6

    Hastenrath, S. Past glaciation in the tropics. Quat. Sci. Rev. 28, 790–798 (2009).

    Article  Google Scholar 

  7. 7

    Farrera, I. et al. Tropical climates at the Last Glacial Maximum: A new synthesis of terrestrial palaeoclimate data. I. Vegetation, lake-levels and geochemistry. Clim. Dynam. 15, 823–856 (1999).

    Article  Google Scholar 

  8. 8

    Betts, A. & Ridgway, W. Tropical boundary layer equilibrium in the last ice age. J. Geophys. Res. 97, 2529–2534 (1992).

    Article  Google Scholar 

  9. 9

    Braconnot, P. et al. Results of PMIP2 coupled simulations of the mid-Holocene and Last Glacial Maximum—part 1: Experiments and large-scale features. Clim. Past 3, 261–277 (2007).

    Article  Google Scholar 

  10. 10

    Braconnot, P. et al. The Paleoclimate Modeling Intercomparison Project contribution to CMIP5. CLIVAR Exchanges 56, 15–19 (2011).

    Google Scholar 

  11. 11

    Braconnot, P. et al. Evaluation of climate models using palaeoclimatic data. Nature Clim. Change 2, 417–424 (2012).

    Article  Google Scholar 

  12. 12

    Otto-Bliesner, B. et al. A comparison of PMIP2 model simulations and the MARGO proxy reconstruction for tropical sea surface temperatures at Last Glacial Maximum. Clim. Dynam. 32, 799–815 (2009).

    Article  Google Scholar 

  13. 13

    Mathien-Blard, E. & Bassinot, F. Salinity bias on the foraminifera Mg/Ca thermometry: Correction procedure and implications for past ocean hydrographic reconstructions. Geochem. Geophys. Geosyst. 10, Q12011 (2009).

    Article  Google Scholar 

  14. 14

    Beck, J. et al. Sea-surface temperature from coral skeletal strontium/calcium ratios. Science 257, 644–647 (1992).

    Article  Google Scholar 

  15. 15

    Stute, M. et al. Cooling of tropical Brazil (5 °C) during the Last Glacial Maximum. Science 269, 379–383 (1995).

    Article  Google Scholar 

  16. 16

    Xu, K. & Emanuel, K. Is the tropical atmosphere conditionally unstable?. Mon. Weath. Rev. 117, 1471–1479 (1989).

    Article  Google Scholar 

  17. 17

    Barrows, T., Hope, G., Prentice, M., Fifield, L. & Tims, S. Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea. Quat. Sci. Rev. 30, 2676–2689 (2011).

    Article  Google Scholar 

  18. 18

    Prentice, M. & Glidden, S. in Altered Ecologies: Fire, Climate and Human Influence on Terrestrial Landscapes Vol. 32 (eds Haberle, S. G., Stevenson, J. & Prebble, M.) 457–471 (ANU EPress, 2010).

    Google Scholar 

  19. 19

    Hostetler, S. & Clark, P. Tropical Climate at the Last Glacial Maximum Inferred from Glacier Mass-Balance Modeling. Science 290, 1747–1750 (2000).

    Article  Google Scholar 

  20. 20

    O’Gorman, P. & Muller, C. How closely do changes in surface and column water vapor follow Clausius–Clapeyron scaling in climate change simulations?. Environ. Res. Lett. 5, 025207 (2010).

    Article  Google Scholar 

  21. 21

    Tripati, A. et al. 13C–18O isotope signatures and ‘clumped isotope’ thermometry in foraminifera and coccoliths. Geochim. Cosmochem. Acta 74, 5697–5717 (2010).

    Article  Google Scholar 

  22. 22

    Reynolds, R. et al. An improved in situ and satellite SST analysis for climate. J. Clim. 15, 1609–1625 (2002).

    Article  Google Scholar 

  23. 23

    Visser, K., Thunell, R. & Stott, L. Magnitude and timing of temperature change in the Indo-Pacific warm pool during deglaciation. Nature 421, 152–155 (2003).

    Article  Google Scholar 

  24. 24

    Elderfield, H. et al. A record of bottom water temperature and seawater δ18O for the Southern Ocean over the past 440 kyr based on Mg/Ca of benthic foraminiferal Uvigerina spp. Quat. Sci. Rev. 29, 160–169 (2010).

    Article  Google Scholar 

  25. 25

    Brown, R. & Zhang, C. Variability of Midtropospheric Moisture and Its Effect on Cloud-Top Height Distribution during TOGA COARE. J. Atmos. Sci. 54, 2760–2774 (1997).

    Article  Google Scholar 

  26. 26

    Kuang, Z. & Bretherton, C. A Mass-Flux Scheme View of a High-Resolution Simulation of a Transition from Shallow to Deep Cumulus Convection. J. Atmos. Sci. 63, 1895–1909 (2006).

    Article  Google Scholar 

  27. 27

    Holloway, C. & Neelin, J. Moisture vertical structure, column water vapor, and tropical deep convection. J. Atmos. Sci. 66, 1665–1683 (2009).

    Article  Google Scholar 

  28. 28

    Prentice, M., Hope, G., Maryunani, K. & Peterson, J. An evaluation of snowline data across New Guinea during the last major glaciation, and area-based glacier snowlines in the Mt. Jaya region of Papua, Indonesia, during the Last Glacial Maximum. Quat. Inter. 138, 93–117 (2005).

    Article  Google Scholar 

  29. 29

    Prentice, M. & Hope, G. in The Ecology of Papua (eds Marshall, A. J. & Beehler, B. M.) Climate of Papua. 177–195 2007).

    Google Scholar 

  30. 30

    Betts, A. & Miller, M. A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets. Q. J. R. Meteorol. Soc. 112, 693–709 (1986).

    Google Scholar 

Download references

Acknowledgements

A.K.T. would like to thank L. Thompson, R. Alley, A. Carlson, F. Anslow, D. Cicerone, D. Lea, N. Meckler, T. Schneider, S. Bordoni, K. Emanuel, J. Adkins, T. Crowley, T. Merlis and H. Spero for discussions; S. Crowhurst, H. Elderfield, A. LeGrande, G. Schmidt and L. Yeung for discussion of this work and comments on an early draft of this manuscript; J. Booth and L. Booth for invaluable assistance with sample preparation; J. Eiler for access to his laboratory and discussion of the work; and T. de Garidel-Thoron for provision of published data from MD97-2138. A.K.T. acknowledges J-Y. Peterschmitt and J. Meyerson for assistance extracting climate model outputs and drafting figures, and the international modelling groups that participated in PMIP2 and CMIP5 for providing their model output for analysis. We thank C. Holloway for the entrainment calculation code. Support was provided to A.K.T. by NSF (CAREER award, EAR-0949191, ARC-1215551), DOE (DE-FG02-13ER16402), the Hellman Foundation, NERC, and the UCLA Division of Physical Sciences; to R.A.E. by NSF (ARC-1215551); and to J.D.N. by NSF (AGS-1102838), which supported S.S. Sounding data for the warm pool are from the DOE Atmospheric Radiation Measurement Climate Research Facility. Support for the NCEP2 (Twentieth Century Reanalysis Project) data set is provided by DOE and NOAA, and for the Reynolds Ocean Temperature Reanalysis Dataset is provided by NOAA. Sediment samples were obtained from the Ocean Drilling Program and CEREGE.

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A.K.T. designed the project and experiments, managed the project, measured most of the samples, guided the modern data analysis, adiabat calculations, initiated the collaboration with modellers, interpreted the results and wrote the manuscript with feedback from all authors. R.A.E. assisted with project design and measured some of the samples. D.P. and S.S. analysed the modern sounding data and conducted the radiative–convective equilibrium calculations under the supervision of J.D.N., J.L.M. and A.K.T. L.B. provided samples from MD97-2138.

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Correspondence to Aradhna K. Tripati.

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The authors declare no competing financial interests.

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Tripati, A., Sahany, S., Pittman, D. et al. Modern and glacial tropical snowlines controlled by sea surface temperature and atmospheric mixing. Nature Geosci 7, 205–209 (2014). https://doi.org/10.1038/ngeo2082

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