Articles | Volume 15, issue 2
https://doi.org/10.5194/cp-15-735-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-15-735-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Apr 2019
Research article |
| 10 Apr 2019
| 10 Apr 2019
A modified seasonal cycle during MIS31 super-interglacial favors stronger interannual ENSO and monsoon variability
Department of Agricultural Engineering, Universidade Federal de Vicosa, PH Rolfs, Vicosa, Brazil
Fred Kucharski
The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy
Douglas Lindemann
Faculdade de Meteorologia, Universidade Federal de Pelotas, Pelotas, Brasil
Aaron Wilson
Polar Meteorology Group, Byrd Polar and Climate Research Center, The Ohio State University, Columbus, OH, USA
Frode Stordal
University of Oslo, Department of Geosciences, Forskningsparken Gaustadalleen, Oslo, Norway
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Cited articles
An, S., Jin, F., and Kang, I.: The Role of Zonal Advection Feedback in Phase
Transition and Growth of ENSO in the Zebiak-Cane Model, J. Meteorol. Soc.
Jpn., 77, 1151–1160, https://doi.org/10.2151/jmsj1965.77.6_1151 1999. a
An, S., Timmermann, A., Bejarano, L., Jin, F. F., Justino, F., Liu, Z., and
Tudhope, A. W.: Modeling Evidence For Enhanced El Nino-Southern Oscillation
Amplitude During The Last Glacial Maximum, Paleoceanography, 19, PA3008,
https://doi.org/10.1029/2004PA001102, 2004. a, b
An, S.-I. and Jin, F.-F.: An Eigen Analysis of the Interdecadal Changes in
the
Structure and Frequency of ENSO Mode, Geophys. Res. Lett., 27, 2573–2576,
2000. a
An, Z.: The history and variability of the East Asian paleomonsoon climate,
Quaternary Sci. Rev., 19, 171–187,
https://doi.org/10.1016/S0277-3791(99)00060-8,
2000. a
Bjerknes, J.: Atlantic air-sea interaction, Adv. Geophys., 10, 1–82,
1964. a
Bush, A.: Simulating climates of the Last Glacial Maximum and of the
mod-Holocene: Wind changes, atmosphere-ocean interactions, and the tropical
thermocline, in: AGU Monograph series (Oceans and Rapid Past and Future
Climate Chnages: North-South Connections), edited by: Seidov, D.,
Haupt, B. J., and Maslin, M., https://doi.org/10.1029/GM126p0135, 2013. a
Cai, W., Borlace, S., Lengaigne, M.,d van Rensch, P., Collins, M., Vecchi,
G., Timmermann, A., Santoso, A., McPhaden, M. J., Wu, L., England, M. H.,
Wang, G., Guilyardi, E., and Jin, F.-F.: Increasing
frequency of extreme El Niño events due to greenhouse warming, Nat.
Clim. Change, 4, 111–116, https://doi.org/10.1038/nclimate2100, 2014. a
Cai, W., Santoso, A., Wang, G., Yeh, S.-W., An, S.-I., Cobb, K. M., Collins,
M., Guilyardi, E., Jin, F.-F., Kug, J.-S., Lengaigne, M., McPhaden, M. J.,
Takahashi, K., Timmermann, A., Vecchi, G., Watanabe, M., and Wu, L.: ENSO and
greenhouse
warming, Nat. Clim. Change, 5, 849, https://doi.org/10.1038/nclimate2743, 2015. a
Chang, P., Wang, B., Li, T., and Ji, L.: Interactions between the seasonal
cycle and the Southern Oscillation – Frequency entrainment and chaos in a
coupled ocean-atmosphere model, Geophys. Res. Lett., 21, 2817–2820,
https://doi.org/10.1029/94GL02759,
1994. a
Coletti, A. J., DeConto, R. M., Brigham-Grette, J., and Melles, M.: A GCM
comparison of Pleistocene super-interglacial periods in relation to Lake
El'gygytgyn, NE Arctic Russia, Clim. Past, 11, 979–989,
https://doi.org/10.5194/cp-11-979-2015, 2015. a
Cook, K. and Held, I.: Stationary Waves of the Ice Age Climate, J. Climate,
1,
807–819, https://doi.org/10.1175/1520-0442(1988)001<0807:SWOTIA>2.0.CO;2,
1988. a
Crundwell, M., Scott, G., Naish, T., and Carter, L.: Glacial–interglacial
ocean climate variability from planktonic foraminifera during the
Mid-Pleistocene transition in the temperate Southwest Pacific, ODP Site
1123, Palaeogeogr. Palaeocl., 260, 202–229,
2008. a
Dai, N. and Arkin, P. A.: Twentieth century ENSO-related precipitation mean
states in twentieth century reanalysis, reconstructed precipitation and CMIP5
models, Clim. Dynam., 48, 3061–3083, 2017. a
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, D. P., and
Bechtold, P.: The
ERA-Interim reanalysis: Configuration and performance of the data
assimilation system, Q. J. Roy. Meteor. Soc.,
137, 553–597, 2011. a
Deser, C., Alexander, M. A., Xie, S.-P., and Phillips, A. S.: Sea Surface
Temperature Variability: Patterns and Mechanisms, Annu. Rev. Mar.
Sci., 2, 115–143, https://doi.org/10.1146/annurev-marine-120408-151453, 2010. a
Dolan, A. M., Hunter, S. J., Hill, D. J., Haywood, A. M., Koenig, S. J.,
Otto-Bliesner, B. L., Abe-Ouchi, A., Bragg, F., Chan, W.-L., Chandler, M. A.,
Contoux, C., Jost, A., Kamae, Y., Lohmann, G., Lunt, D. J., Ramstein, G.,
Rosenbloom, N. A., Sohl, L., Stepanek, C., Ueda, H., Yan, Q., and Zhang, Z.:
Using results from the PlioMIP ensemble to investigate the Greenland Ice
Sheet during the mid-Pliocene Warm Period, Clim. Past, 11, 403–424,
https://doi.org/10.5194/cp-11-403-2015, 2015. a
Dyez, K. A. and Ravelo, A. C.: Dynamical changes in the tropical Pacific warm
pool and zonal SST gradient during the Pleistocene, Geophys. Res.
Lett., 41, 7626–7633, https://doi.org/10.1002/2014GL061639, 2014. a, b
Eisenman, I., Yu, L., and Tziperman, E.: Westerly wind bursts: ENSO's tail
rather than the dog?, J. Climate, 18, 5224–5238,
https://doi.org/10.1175/JCLI3588.1, 2005. a
Erb, M., Broccoli, A., Graham, N., Clement, A., Wittenberg, A., and Vecchi,
G.:
Response of the equatorial pacific seasonal cycle to orbital forcing,
J. Climate, 28, 9258–9276, https://doi.org/10.1175/JCLI-D-15-0242.1, 2015. a, b, c
Farneti, R., Molteni, F., and Kucharski, F.: Pacific interdecadal
variability driven by tropical-extratropical interactions, Clim. Dynam.,
42, 3337–3355, https://doi.org/10.1007/s00382-013-1906-6, 2014. a, b
He, C., Lin, A., Gu, D., Li, C., Zheng, B., Wu, B., and Zhou, T.: Using eddy
geopotential height to measure the western North Pacific subtropical high in
a warming climate, Theor. Appl. Climatol., 131, 681–691,
https://doi.org/10.1007/s00704-016-2001-9, 2018. a
Honisch, B., Hemming, N. G., Archer, D., Siddall, M., and McManus, J. F.:
Atmospheric Carbon Dioxide Concentration Across the Mid-Pleistocene
Transition, Science, 324, 1551–1554, https://doi.org/10.1126/science.1171477,
2009. a
Hsu, P.-C., Li, T., Luo, J.-J., Murakami, H., Kitoh, A., and Zhao, M.:
Increase
of global monsoon area and precipitation under global warming: A robust
signal?, Geophys. Res. Lett., 39, 6701–6707, https://doi.org/10.1029/2012GL051037, 2012. a
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K.,
Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and
Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom
and New York, NY, USA, 1535 pp., 2013. a
Ji, X., Neelin, J. D., and Mechoso, C. R.: El Nino-Southern Oscillation Sea
Level Pressure Anomalies in the Western Pacific: Why Are They There?,
J. Climate, 28, 8860–8872, https://doi.org/10.1175/JCLI-D-14-00716.1, 2015. a
Jost, A., Lunt, D., Kageyama, M., Abe-Ouchi, A., Peyron, O., Valdes, P., and
Ramstein, G.: High-resolution simulations of the Last Glacial Maximum
climate over Europe: a solution to discrepancies with continental
palaeoclimatic reconstructions?, Clim. Dynam., 24, 557–590, 2005. a
Justino, F., Setzer, A., Bracegirdle, T. J., Mendes, D., Grimm, A., Dechiche,
G., and Schaefer, C. E. G. R.: Harmonic analysis of climatological
temperature over Antarctica: present day and greenhouse warming
perspectives, Int. J. Climatol., 31, 514–530, https://doi.org/10.1002/joc.2090,
2010. a
Justino, F., Stordal, F., Vizy, E. K., Cook, K. H., and Pereira, M. P. S.:
Greenhouse Gas Induced Changes in the Seasonal Cycle of the Amazon Basin in
Coupled Climate-Vegetation Regional Model, Climate, 4, 3,
https://doi.org/10.3390/cli4010003, 2016. a
Karami, M., Herold, N., Berger, A., Yin, Q., and Muri, H.: State of the
tropical Pacific Ocean and its enhanced impact on precipitation over East
Asia during Marine Isotopic Stage 13, Clim. Dynam., 44, 807–825, 2015. a
Karamperidou, C., Di Nezio, P. N., Timmermann, A., Jin, F.-F., and Cobb,
K. M.:
The response of ENSO flavors to mid-Holocene climate: Implications for proxy
interpretation, Paleoceanography, 30, 527–547, https://doi.org/10.1002/2014PA002742,
2015. a, b
Kucharski, F., Molteni, F., and Bracco, A.: Decadal interactions between the
western tropical Pacific and the North Atlantic Oscillation, Clim. Dynam., 26,
79–91, 2006. a
Kucharski, F., Ikram, F., Molteni, F., Farneti, R., Kang, I.-S., No, H.-H.,
King, M. P., Giuliani, G., and Mogensen, K.: Atlantic forcing of Pacific
decadal variability, Clim. Dynam., 46, 2337–2351,
https://doi.org/10.1007/s00382-015-2705-z, 2016. a
Lawrence, K. T., Herbert, T. D., Brown, C. M., Raymo, M. E., and Haywood,
A. M.: High-amplitude variations in North Atlantic sea surface temperature
during the early Pliocene warm period, Paleoceanography, 24, pA2218,
https://doi.org/10.1029/2008PA001669, 2009. a
Leduc, G., Vidal, L., Cartapanis, O., and Bard, E.: Modes of eastern
equatorial Pacific thermocline variability: Implications for ENSO dynamics
over the last glacial period, Paleoceanography, 24, PA3202,
https://doi.org/10.1029/2008PA001701, 2009. a
Levitus, S., Antonov, J. I., Boyer, T. P., and Stephens, C.: Warming of the
World Ocean, Science, 287, 2225–2229, https://doi.org/10.1126/science.287.5461.2225,
2000. a
Li, L., Li, Q., Tian, J., Wang, P., Wang, H., and Liu, Z.: A 4-Ma record of
thermal evolution in the tropical western Pacific and its implications on
climate change, Earth Planet. Sc. Lett., 309, 10–20,
https://doi.org/10.1016/j.epsl.2011.04.016, 2011. a, b, c
Li, T. and Philander, S.: On the seasonal cycle of the equatorial Atlantic
Ocean, J. Climate, 10, 813–817, 1997. a
Li, T. and Philander, S. G. H.: On the Annual Cycle of the Equatorial
Eastern
Pacific, J. Climate, 9, 2986–2998, 1996. a
Lisiecki, L. E. and Raymo, M. E.: A Pliocene-Pleistocene stack of 57 globally
distributed benthic δ18O records, Paleoceanography, 20, pA1003,
https://doi.org/10.1029/2004PA001071, 2005. a
Liu, Z.: A simple model study of the forced response of ENSO to an external
periodic forcing, J. Climate, 15, 1088–1098,
https://doi.org/10.1175/1520-0442(2002)015<1088:ASMSOE>2.0.CO;2, 2002a. a, b
Liu, Z.: A Simple Model Study of ENSO Suppression by External Periodic
Forcing, J. Climate, 15, 1088–1098,
https://doi.org/10.1175/1520-0442(2002)015<1088:ASMSOE>2.0.CO;2, 2002b. a
Madec, G.: NEMO: the OPA ocean engine, Note du Pole de Modelisation, Note du
Pôle de modélisation de l'Institut Pierre-Simon Laplace
No. 27,
1–110, https://doi.org/10.1029/137GM07, 2008. a
Mantsis, D. F., Clement, A. C., Kirtman, B., Broccoli, A. J., and Erb, M. P.:
Precessional Cycles and Their Influence on the North Pacific and North
Atlantic Summer Anticyclones, J. Climate, 26, 4596–4611,
https://doi.org/10.1175/JCLI-D-12-00343.1, 2013. a
Mantua, N. J., Hare, S. R., Zhang, Y., Wallace, J. M., and Francis, R. C.: A
Pacific interdecadal climate oscillation with impacts on salmon production,
B. Am. Meteorol. Soc., 78, 1069–1079, 1997. a
Martínez-Garcia, A., Rosell-Melé, A., McClymont, E. L., Gersonde,
R.,
and Haug, G. H.: Subpolar link to the emergence of the modern equatorial
Pacific cold tongue, Science, 328, 1550–1553, https://doi.org/10.1126/science.1184480,
2010. a
McClymont, E. L., Rosell-Melé, A., Giraudeau, J., Pierre, C., and Lloyd,
J. M.: Alkenone and coccolith records of the mid-Pleistocene in the
south-east Atlantic: implications for the index and South African climate,
Quaternary Sci. Rev., 24, 1559–1572,
https://doi.org/10.1016/j.quascirev.2004.06.024, 2005. a
Medina-Elizalde, M., Lea, D. W., and Fantle, M. S.: Implications of seawater
Mg∕Ca variability for Plio-Pleistocene tropical climate reconstruction, Earth
Planet. Sc. Lett., 269, 585–595,
https://doi.org/10.1016/j.epsl.2008.03.014, 2008. a, b
Melles, M., Brigham-Grette, J., Minyuk, P. S., Nowaczyk, N. R., Wennrich, V.,
DeConto, R. M., Anderson, P. M., Andreev, A. A., Coletti, A., Cook, T. L.,
Haltia-Hovi, E., Kukkonen, M., Lozhkin, A. V., Rosen, P., Tarasov, P., Vogel,
H., and Wagner, B.: 2.8 Million Years of Arctic Climate Change from Lake
El-gygytgyn, NE Russia, Science, 337, 315–320,
https://doi.org/10.1126/science.1222135,
2012. a, b, c
Naafs, B. D. A., Hefter, J., Gruetzner, J., and Stein, R.: Warming of surface
waters in the mid-latitude North Atlantic during Heinrich events,
Paleoceanography, 28, 153–163, https://doi.org/10.1029/2012PA002354, 2013. a, b
Naish, T., Powell, R., Levy, R., Wilson, G., Scherer, R., Talarico, F.,
Krissek, L., Niessen, F., Pompilio, M., Wilson, T., Carter, L., DeConto, R.,
Huybers, P., McKay, R., Pollard, D., Ross, J., Winter, D., Barrett, P.,
Browne, G., Cody, R., Cowan, E., Crampton, J., Dunbar, G., Dunbar, N.,
Florindo, F., Gebhardt, C., Graham, I., Hannah, M., Hansaraj, D., Harwood,
D., Helling, D., Henrys, S., Hinnov, L., Kuhn, G., Kyle, P., Lufer, A.,
Maffioli, P., Magens, D., Mandernack, K., McIntosh, W., Millan, C., Morin,
R., Ohneiser, C., Paulsen, T., Persico, D., Raine, I., Reed, J., Riesselman,
C., Sagnotti, L., Schmitt, D., Sjunneskog, C., Strong, P., Taviani, M.,
Vogel, S., Wilch, T., and Williams, T.: Obliquity-paced Pliocene West
Antarctic ice sheet oscillations, Nature, 458, 322–328, 2009. a
Nicolas, J. P., Vogelmann, A. M., Scott, R. C., Wilson, A. B., Cadeddu, M.
P., Bromwich, D. H., Verlinde, J., Lubin, D., Russell, L. M., Jenkinson, C.,
Powers, H. H., Ryczek, M., Stone, G., and Wille, J.
D.: January 2016 extensive summer melt in West Antarctica favoured by
strong El Niño, Nature Commun., 8, 15799, https://doi.org/10.1038/ncomms15799, 2017. a
Oliveira, D., Goñi, M. F. S., Naughton, F., Polanco-Martínez, J.,
Jimenez-Espejo, F. J., Grimalt, J. O., Martrat, B., Voelker, A. H., Trigo,
R., Hodell, D., Abrantes, F., and Desprat, S.: Unexpected weak seasonal
climate in the western Mediterranean region during MIS 31, a high-insolation
forced interglacial, Quaternary Sci. Rev., 161, 1–17,
https://doi.org/10.1016/j.quascirev.2017.02.013,
2017. a
Parent, L., Ferry, N., Barnier, B., Garric, G., Bricaud, C., Testut, C. E.,
Le Galloudec, O., Lellouche, J. M., Greiner, E., Drevillon, M., and Rémy,
E.: GLOBAL eddy-permitting ocean reanalyses and simulations of the period
1992 to present, Proc. 20 Years Prog. Radar Altimetry, 1–31, 2013. a
Peltier, W. and Solheim, L.: The climate of the Earth at Last Glacial
Maximum:
statistical equilibrium state and a mode of internal variability, Quaternary
Sci. Rev., 23, 335–357, 2004. a
Pollard, D. and DeConto, R.: Modelling West Antarctic ice sheet growth and
collapse through the past five million years, Nature, 458, 329–332,
https://doi.org/10.1038/nature07809, 2009. a, b
Russon, T., Elliot, M., Sadekov, A., Cabioch, G., Corrège, T., and
De Deckker, P.: The mid-Pleistocene transition in the subtropical southwest
Pacific, Paleoceanography, 26, pA1211, https://doi.org/10.1029/2010PA002019,
2011. a, b
Scherer, R. P., Bohaty, S. M., Dunbar, R. B., Esper, O., Flores, J.-A.,
Gersonde, R., Harwood, D. M., Roberts, A. P., and Taviani, M.: Antarctic
records of precession-paced insolation-driven warming during early
Pleistocene Marine Isotope Stage 31, Geophys. Res. Lett., 35, L03505,
https://doi.org/10.1029/2007GL032254, 2008. a, b
Steig, E. J., Ding, Q., White, J. W., Küttel, M., Rupper, S. B., Neumann,
T. A., Neff, P. D., Gallant, A. J., Mayewski, P. A., Taylor, K. C. and
Hoffmann, G.:
Recent climate and ice-sheet changes in West Antarctica compared with the
past 2,000 years, Nat. Geosci., 6, 372–375, https://doi.org/10.1038/ngeo1778,
2013. a
Sun, Y., An, Z., Clemens, S. C., Bloemendal, J., and Vandenberghe, J.: Seven
million years of wind and precipitation variability on the Chinese Loess
Plateau, Earth Planet. Sc. Lett., 297, 525–535,
https://doi.org/10.1016/j.epsl.2010.07.004,
2010. a, b
Thompson, D. W. J. and Wallace, J. M.: Regional Climate Impacts of the
Northern Hemisphere Annular Mode, Science, 293, 85–89, 2001. a
Thomson, D. J.: Spectrum estimation and harmonic analysis, Proc. IEEE, 70,
1055–1094, 1982. a
Timmermann, A. and Jin, F.-F.: A Nonlinear Mechanism for Decadal El Niño
Amplitude Changes, Geophys. Res. Lett., 29, 3-1–3-4,
https://doi.org/10.1029/2001GL013369, 2002. a
Timmermann, A., Justino, F., Jin, F.-F., and Goosse, H.: Surface temperature
control in the North and tropical Pacific during the last glacial maximum,
Clim. Dynam., 23, 353–370, 2004. a
Timmermann, A., Lorenz, S., An, S., Clement, A., and Xie, S.: The effect of
orbital forcing on the mean climate and variability of the tropical Pacific,
J. Climate, 20, 4147–4159, https://doi.org/10.1175/JCLI4240.1, 2007. a
Toniazzo, T.: Properties of El Nino–Southern Oscillation in different
equilibrium climates with HadCM3, J. Climate, 19, 4854–4876,
https://doi.org/10.1175/JCLI3853.1, 2006. a
Tudhope, A. W., Chilcott, C. P., McCulloch, M. T., Cook, E. R., Chappell, J.,
Ellam, R. M., Lea, D. W., Lough, J. M., and Shimmield, G. B.: Variability in
the El Niño-Southern Oscillation through a glacial-interglacial cycle,
Science, 291, 1511–1517, 2001. a
Valcke, S.: The OASIS3 coupler: a European climate modelling community
software, Geosci. Model Dev., 6, 373–388,
https://doi.org/10.5194/gmd-6-373-2013, 2013. a
Voelker, A. H., Salgueiro, E., Rodrigues, T., Jimenez-Espejo, F. J., Bahr,
A.,
Alberto, A., Loureiro, I., Padilha, M., Rebotim, A., and Rohl, U.:
Mediterranean Outflow and surface water variability off southern Portugal
during the early Pleistocene: A snapshot at Marine Isotope Stages 29 to 34
(1020–1135 ka), Global Planet. Change, 133, 223–237,
https://doi.org/10.1016/j.gloplacha.2015.08.015, 2015. a
Wen, C., Kumar, A., Xue, Y., and McPhaden, M.: Changes in tropical Pacific
thermocline depth and their relationship to ENSO after 1999, J.
Climate, 27, 7230–7249, 2014. a
Wilson, A. B., Bromwich, D. H., and Hines, K. M.: Simulating the mutual
forcing of anomalous high-southern latitude atmospheric circulation by El
Niño flavors and the Southern Annular Mode, J. Climate, 29, 2291–2309,
https://doi.org/10.1175/JCLI-D-15-0361.1,
2016. a, b, c
Woodruff, S. D., Worley, S. J., Lubker, S. J., Ji, Z., Eric Freeman, J.,
Berry,
D. I., Brohan, P., Kent, E. C., Reynolds, R. W., Smith, S. R., and Wilkinson,
C.: ICOADS Release 2.5: extensions and enhancements to the surface marine
meteorological archive, Int. J. Climatol., 31, 951–967,
https://doi.org/10.1002/joc.2103, 2011. a
Yim, S.-Y., Wang, B., Liu, J., and Wu, Z.: A comparison of regional monsoon
variability using monsoon indices, Clim. Dynam., 43, 1423–1437, 2014. a
Yin, Q. and Berger, A.: Individual contribution of insolation and CO2
to the
interglacial climates of the past 800,000 years, Clim. Dynam., 38,
709–724, https://doi.org/10.1007/s00382-011-1013-5, 2012.
a, b
Yin, Q. Z., Singh, U. K., Berger, A., Guo, Z. T., and Crucifix, M.: Relative
impact of insolation and the Indo-Pacific warm pool surface temperature on
the East Asia summer monsoon during the MIS-13 interglacial, Clim. Past, 10,
1645–1657, https://doi.org/10.5194/cp-10-1645-2014, 2014. a
Zebiak, S. E. and Cane, M. A.: A model El Niño-Southern Oscillation, Mon.
Weather Rev., 115, 2262–2278, 1987. a
Zhu, J., Liu, Z., Brady, E., Otto-Bliesner, B., Zhang, J., Noone, D., Tomas,
R., Nusbaumer, J., Wong, T., Jahn, A., and Tabor, C.: Reduced ENSO
variability at the LGM revealed by an isotope-enabled Earth system model,
Geophys. Res. Lett., 44, 6984–6992, https://doi.org/10.1002/2017GL073406, 2017. a
Short summary
This study evaluates the impact of enhanced seasonality characteristic of the Marine Isotope Stage 31 (MIS31) on the El Niño–Southern Oscillation (ENSO). Based upon coupled climate simulations driven by present-day (CTR) and MIS31 boundary conditions, we demonstrate that MIS31 does show a strong power spectrum at interannual timescales but the absence of decadal periodicity. The implementation of the MIS31 conditions results in a distinct global monsoon system and its link to the ENSO.
This study evaluates the impact of enhanced seasonality characteristic of the Marine Isotope...
