Seasonal-to-decadal predictability and prediction of South American climate

被引:44
|
作者
Nobre, P.
Marengo, J. A.
Cavalcanti, I. F. A.
Obregon, G.
Barros, V.
Camilloni, I.
Campos, N.
Ferreira, A. G.
机构
[1] INPE, CPTEC, Cachoeira Paulista, Brazil
[2] Univ Buenos Aires, CONICET, CIMA, Buenos Aires, DF, Argentina
[3] FUNCEME, Fortaleza, Ceara, Brazil
关键词
D O I
10.1175/JCLI3946.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The dynamical basis for seasonal to decadal climate predictions and predictability over South America is reviewed. It is shown that, while global tropical SSTs affect both predictability and predictions over South America, the current lack of SST predictability over the tropical Atlantic represents a limiting factor to seasonal climate predictions over some parts of the continent. The model's skill varies with the continental region: the highest skill is found in the "Nordeste" region and the lowest skill over southeastern Brazil. It is also suggested that current two-tier approaches to predict seasonal climate variations might represent a major limitation to forecast coupled ocean-atmosphere phenomena like the South Atlantic convergence zone. Also discussed are the possible effects of global climate change on regional predictability of seasonal climate.
引用
收藏
页码:5988 / 6004
页数:17
相关论文
共 50 条
  • [1] Seasonal-to-decadal predictability and prediction of North American climate -: The Atlantic influence
    Van den Dool, H. M.
    Peng, Peitao
    Johansson, Ake
    Chelliah, Muthuvel
    Shabbar, Amir
    Saha, Suranjana
    [J]. JOURNAL OF CLIMATE, 2006, 19 (23) : 6005 - 6024
  • [2] Do seasonal-to-decadal climate predictions underestimate the predictability of the real world?
    Eade, Rosie
    Smith, Doug
    Scaife, Adam
    Wallace, Emily
    Dunstone, Nick
    Hermanson, Leon
    Robinson, Niall
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2014, 41 (15) : 5620 - 5628
  • [3] Seasonal-to-decadal prediction of El Nino-Southern Oscillation and Pacific Decadal Oscillation
    Choi, Jung
    Son, Seok-Woo
    [J]. NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2022, 5 (01)
  • [4] Seasonal-to-Decadal Prediction of Marine Ecosystems: Opportunities, Approaches, and Applications
    Payne, Mark R.
    Hobday, Alistair J.
    MacKenzie, Brian R.
    Tommasi, Desiree
    [J]. FRONTIERS IN MARINE SCIENCE, 2019, 6
  • [5] Intercomparison of initialization methods for seasonal-to-decadal climate predictions with the NorCPM
    Garcia-Oliva, Lilian
    Counillon, Francois
    Bethke, Ingo
    Keenlyside, Noel
    [J]. CLIMATE DYNAMICS, 2024, 62 (06) : 5425 - 5444
  • [6] Challenges posed by and approaches to the study of seasonal-to-decadal climate variability
    Schwierz, Cornelia
    Appenzeller, Christof
    Davies, Huw C.
    Liniger, Mark A.
    Mueller, Wolfgang
    Stocker, Thomas F.
    Yoshimori, Masakazu
    [J]. CLIMATIC CHANGE, 2006, 79 (1-2) : 31 - 63
  • [7] Challenges posed by and approaches to the study of seasonal-to-decadal climate variability
    Cornelia Schwierz
    Christof Appenzeller
    Huw C. Davies
    Mark A. Liniger
    Wolfgang Müller
    Thomas F. Stocker
    Masakazu Yoshimori
    [J]. Climatic Change, 2006, 79 : 31 - 63
  • [8] Seasonal-to-decadal prediction of El Niño–Southern Oscillation and Pacific Decadal Oscillation
    Jung Choi
    Seok-Woo Son
    [J]. npj Climate and Atmospheric Science, 5
  • [9] DECADAL CLIMATE PREDICTABILITY AND PREDICTION Where Are We?
    Mehta, Vikram
    Meehl, Gerald
    Goddard, Lisa
    Knight, Jeff
    Kumar, Arun
    Latif, Mojib
    Lee, Tong
    Rosati, Anthony
    Stammer, Detlef
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2011, 92 (05) : 637 - 640
  • [10] Predicting drought on seasonal-to-decadal time scales
    Schubert, Siegfried
    Koster, Randal
    Hoerling, Martin
    Seager, Richard
    Lettenmaier, Dennis
    Kumar, Arun
    Gutzler, David
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2007, 88 (10) : 1625 - 1630