Effect of future climate change on the coupling between the tropical oceans and precipitation over Southeastern South America

被引:2
作者
Martin-Gomez, Vernica [1 ]
Barreiro, Marcelo [1 ]
机构
[1] Univ Republica, Inst Fis, Fac Ciencias, Dept Ciencias Atmosfera, Igua 4225, Montevideo 11400, Uruguay
关键词
EL-NINO; INDIAN-OCEAN; ENSO; ATLANTIC; MODELS;
D O I
10.1007/s10584-016-1888-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
El Nio, the Indian Ocean Dipole (IOD), and the Tropical North Atlantic variability (TNA) can influence southeastern South America (SESA) rainfall, particularly during springtime. A recent study has shown that during the last century, there were two synchronization periods (1930s and 1970s) in which different tropical oceans interacted among themselves and, in turn, induced precipitation anomalies over SESA. In this study, we evaluate how this collective influence of the tropical oceans on SESA precipitation observed during the twentieth century, can change in the next century as result of anthropogenic forcing. To do so, we use the output of seven different CMIP5 models and construct a network using as nodes the indices of the Nio3.4, the TNA, the IOD and rainfall over SESA. After evaluating their skill in representing the observed network statistics during the twentieth century, we study changes in the network under RCP4.5 and 8.5 global warming scenarios in the twenty-first century. Focusing on the grand CMIP5 ensemble mean, results suggest that an anthropogenic forcing would increase the number of synchronization periods per century, their time length, and the connectivity between nodes (with the exception of TNA and IOD in RCP8.5). The stronger connectivity of SESA precipitation with the tropical oceans in both scenarios suggest an increase of the oceanic influence on rainfall over SESA as a result of anthropogenic forcing, which would enhance its seasonal predictability. However, these results have to be taken with caution because there is a large disparity in model behavior and thus a large uncertainty in conclusions suggested from the grand ensemble mean.
引用
收藏
页码:315 / 329
页数:15
相关论文
共 30 条
[11]   Relationships of inter-American rainfall to tropical Atlantic and Pacific SST variability [J].
Enfield, DB .
GEOPHYSICAL RESEARCH LETTERS, 1996, 23 (23) :3305-3308
[12]   The Community Climate System Model Version 4 [J].
Gent, Peter R. ;
Danabasoglu, Gokhan ;
Donner, Leo J. ;
Holland, Marika M. ;
Hunke, Elizabeth C. ;
Jayne, Steve R. ;
Lawrence, David M. ;
Neale, Richard B. ;
Rasch, Philip J. ;
Vertenstein, Mariana ;
Worley, Patrick H. ;
Yang, Zong-Liang ;
Zhang, Minghua .
JOURNAL OF CLIMATE, 2011, 24 (19) :4973-4991
[13]   The preconditioning role of Tropical Atlantic Variability in the development of the ENSO teleconnection: implications for the prediction of Nordeste rainfall [J].
Giannini, A ;
Saravanan, R ;
Chang, P .
CLIMATE DYNAMICS, 2004, 22 (08) :839-855
[14]  
Hidalgo C, 2014, WCRP C LAT AM CAR DE
[15]  
Jeffrey S, 2013, AUST METEOROL OCEAN, V63, P1
[16]   Analyzing ENSO Teleconnections in CMIP Models as a Measure of Model Fidelity in Simulating Precipitation [J].
Langenbrunner, Baird ;
Neelin, J. David .
JOURNAL OF CLIMATE, 2013, 26 (13) :4431-4446
[17]   Analysis of oceans' influence on spring time rainfall variability over Southeastern South America during the 20th century [J].
Martin-Gomez, Veronica ;
Barreiro, Marcelo .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2016, 36 (03) :1344-1358
[18]   The years of El Nino, La Nina, and interactions with the tropical Indian ocean [J].
Meyers, Gary ;
McIntosh, Peter ;
Pigot, Lidia ;
Pook, Mike .
JOURNAL OF CLIMATE, 2007, 20 (13) :2872-2880
[19]   Use of ENSO-related climate information in agricultural decision making in Argentina:: a pilot experience [J].
Podestá, G ;
Letson, D ;
Messina, C ;
Royce, F ;
Ferreyra, RA ;
Jones, J ;
Hansen, J ;
Liovet, I ;
Grondona, M ;
O'Brien, JJ .
AGRICULTURAL SYSTEMS, 2002, 74 (03) :371-392
[20]  
Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43854