Reduced El Nino variability in the mid-Pliocene according to the PlioMIP2 ensemble

被引:11
|
作者
Oldeman, Arthur M. [1 ]
Baatsen, Michiel L. J. [1 ]
von Der Heydt, Anna S. [1 ,2 ]
Dijkstra, Henk A. [1 ,2 ]
Tindall, Julia C. [3 ]
Abe-Ouchi, Ayako [4 ]
Booth, Alice R. [5 ]
Brady, Esther C. [6 ]
Chan, Wing-Le [4 ]
Chandan, Deepak [7 ]
Chandler, Mark A. [8 ]
Contoux, Camille [9 ]
Feng, Ran [10 ]
Guo, Chuncheng [11 ]
Haywood, Alan M. [3 ]
Hunter, Stephen J. [3 ]
Kamae, Youichi [12 ]
Li, Qiang [13 ,14 ]
Li, Xiangyu [15 ]
Lohmann, Gerrit [16 ]
Lunt, Daniel J. [17 ]
Nisancioglu, Kerim H. [18 ,19 ]
Otto-Bliesner, Bette L. [6 ]
Peltier, W. Richard [7 ]
Pontes, Gabriel M. [20 ]
Ramstein, Gilles [9 ]
Sohl, Linda E. [8 ]
Stepanek, Christian [16 ]
Tan, Ning [9 ,21 ]
Zhang, Qiong [13 ,14 ]
Zhang, Zhongshi [15 ]
Wainer, Ilana [20 ]
Williams, Charles J. R. [17 ,22 ]
机构
[1] Univ Utrecht, Inst Marine & Atmospher Res Utrecht IMAU, Dept Phys, NL-3584 CC Utrecht, Netherlands
[2] Univ Utrecht, Ctr Complex Syst Sci, NL-3584 CE Utrecht, Netherlands
[3] Univ Leeds, Sch Earth & Environm, Woodhouse Lane, Leeds LS2 9JT, W Yorkshire, England
[4] Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba 2778564, Japan
[5] Univ Southampton, Natl Oceanog Ctr, Sch Ocean & Earth Sci, Southampton, Hants, England
[6] Natl Ctr Atmospher Res, Boulder, CO 80305 USA
[7] Univ Toronto, Dept Phys, Toronto, ON M5S 1A7, Canada
[8] Columbia Univ, CCSR GISS, New York, NY 10025 USA
[9] CEA CNRS UVSQ Univ Paris Saclay, Lab Sci Climat & Environm, LSCE IPSL, F-91191 Gif Sur Yvette, France
[10] Univ Connecticut, Coll Liberal Arts & Sci, Dept Geosci, Storrs, CT 06033 USA
[11] NORCE Norwegian Res Ctr, Bjerknes Ctr Climate Res, N-5007 Bergen, Norway
[12] Univ Tsukuba, Fac Life & Environm Sci, Tsukuba, Ibaraki 3058572, Japan
[13] Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden
[14] Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden
[15] China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan 430074, Peoples R China
[16] Alfred Wegener Inst, Helmholtz Zentrum Polar & Meeresforsch AWI, D-27570 Bremerhaven, Germany
[17] Univ Bristol, Sch Geog Sci, Bristol BS8 1SS, Avon, England
[18] Univ Bergen, Bjerknes Ctr Climate Res, Dept Earth Sci, N-5007 Bergen, Norway
[19] Univ Oslo, Ctr Earth Evolut & Dynam, N-0315 Oslo, Norway
[20] Univ Sao Paulo, Oceanog Inst, BR-05508120 Sao Paulo, Brazil
[21] Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China
[22] Univ Reading, Dept Meteorol, NCAS Climate, Reading RG6 6ET, Berks, England
关键词
SEA-SURFACE TEMPERATURE; TROPICAL PACIFIC-OCEAN; EXPERIMENTAL-DESIGN; GLOBAL CLIMATE; WARM PERIOD; MODEL; ENSO; SIMULATIONS; MECHANISMS; CONSISTENT;
D O I
10.5194/cp-17-2427-2021
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The mid-Pliocene warm period (3.264-3.025 Ma) is the most recent geological period during which atmospheric CO2 levels were similar to recent historical values (similar to 400 ppm). Several proxy reconstructions for the midPliocene show highly reduced zonal sea surface temperature (SST) gradients in the tropical Pacific Ocean, indicating an El Nino-like mean state. However, past modelling studies do not show these highly reduced gradients. Efforts to understand mid-Pliocene climate dynamics have led to the Pliocene Model Intercomparison Project (PlioMIP). Results from the first phase (PlioMIP1) showed clear El Nino variability (albeit significantly reduced) and did not show the greatly reduced time-mean zonal SST gradient suggested by some of the proxies. In this work, we study El Nino-Southern Oscillation (ENSO) variability in the PlioMIP2 ensemble, which consists of additional global coupled climate models and updated boundary conditions compared to PlioMIP1. We quantify ENSO amplitude, period, spatial structure and "flavour", as well as the tropical Pacific annual mean state in mid-Pliocene and pre-industrial simulations. Results show a reduced ENSO amplitude in the model-ensemble mean (-24 %) with respect to the pre-industrial, with 15 out of 17 individual models showing such a reduction. Furthermore, the spectral power of this variability considerably decreases in the 3-4-year band. The spatial structure of the dominant empirical orthogonal function shows no particular change in the patterns of tropical Pacific variability in the model-ensemble mean, compared to the pre-industrial. Although the timemean zonal SST gradient in the equatorial Pacific decreases for 14 out of 17 models (0.2 degrees C reduction in the ensemble mean), there does not seem to be a correlation with the decrease in ENSO amplitude. The models showing the most "El Nino-like" mean state changes show a similar ENSO amplitude to that in the pre-industrial reference, while models showing more "La Nina-like" mean state changes generally show a large reduction in ENSO variability. The PlioMIP2 results show a reasonable agreement with both time-mean proxies indicating a reduced zonal SST gradient and reconstructions indicating a reduced, or similar, ENSO variability.
引用
收藏
页码:2427 / 2450
页数:24
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