Is the Indian Ocean SST variability a homogeneous diffusion process?

被引:9
|
作者
Hannachi, A. [1 ]
Dommenget, D. [2 ]
机构
[1] King Abdulaziz Univ, Dept Meteorol, Jeddah 21589, Saudi Arabia
[2] Leibniz Inst Marine Sci, IFM, GEOMAR, D-24105 Kiel, Germany
关键词
EMPIRICAL ORTHOGONAL FUNCTIONS; SEA-SURFACE TEMPERATURE; CAUTIONARY NOTE; EL-NINO; ASIAN MONSOON; DIPOLE MODE; ENSO SIGNAL; CLIMATE; MECHANISMS; DYNAMICS;
D O I
10.1007/s00382-008-0512-5
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Whereas the predominance of El Nio Southern Oscillation (ENSO) mode in the tropical Pacific sea surface temperature (SST) variability is well established, no such consensus seems to have been reached by climate scientists regarding the Indian Ocean. While a number of researchers think that the Indian Ocean SST variability is dominated by an active dipolar-type mode of variability, similar to ENSO, others suggest that the variability is mostly passive and behaves like an autocorrelated noise. For example, it is suggested recently that the Indian Ocean SST variability is consistent with the null hypothesis of a homogeneous diffusion process. However, the existence of the basin-wide warming trend represents a deviation from a homogeneous diffusion process, which needs to be considered. An efficient way of detrending, based on differencing, is introduced and applied to the Hadley Centre ice and SST. The filtered SST anomalies over the basin (23.5N-29.5S, 30.5E-119.5E) are then analysed and found to be inconsistent with the null hypothesis on intraseasonal and interannual timescales. The same differencing method is then applied to the smaller tropical Indian Ocean domain. This smaller domain is also inconsistent with the null hypothesis on intraseasonal and interannual timescales. In particular, it is found that the leading mode of variability yields the Indian Ocean dipole, and departs significantly from the null hypothesis only in the autumn season.
引用
收藏
页码:535 / 547
页数:13
相关论文
共 50 条
  • [1] Is the Indian Ocean SST variability a homogeneous diffusion process?
    A. Hannachi
    D. Dommenget
    Climate Dynamics, 2009, 33 : 535 - 547
  • [2] Internal variability of Indian Ocean SST
    Jochum, M
    Murtugudde, R
    JOURNAL OF CLIMATE, 2005, 18 (18) : 3726 - 3738
  • [3] Decadal and interannual variability of the Indian Ocean SST
    Lakshmi Krishnamurthy
    V. Krishnamurthy
    Climate Dynamics, 2016, 46 : 57 - 70
  • [4] Decadal and interannual variability of the Indian Ocean SST
    Krishnamurthy, Lakshmi
    Krishnamurthy, V.
    CLIMATE DYNAMICS, 2016, 46 (1-2) : 57 - 70
  • [5] On the mechanism of the seasonal variability of SST in the tropical Indian Ocean
    Hu, RJ
    Liu, QY
    Meng, XF
    Godfrey, JS
    ADVANCES IN ATMOSPHERIC SCIENCES, 2005, 22 (03) : 451 - 462
  • [6] On the mechanism of the seasonal variability of SST in the tropical Indian Ocean
    Hu Ruijin
    Liu Qinyu
    Meng Xiangfeng
    J. Stuart Godfrey
    Advances in Atmospheric Sciences, 2005, 22 (3) : 451 - 462
  • [7] On the Mechanism of the Seasonal Variability of SST in the Tropical Indian Ocean
    胡瑞金
    刘秦玉
    孟祥凤
    J.Stuart GODFREY
    Advances in Atmospheric Sciences, 2005, (03) : 451 - 462
  • [8] Causes of the Intraseasonal SST Variability in the Tropical Indian Ocean
    Tim Li
    Francis Tam
    AtmosphericandOceanicScienceLetters, 2008, 1 (01) : 18 - 23
  • [9] Causes of the Intraseasonal SST Variability in the Tropical Indian Ocean
    Li, Tim
    Tam, Francis
    Fu, Xiouhua
    Zhou Tian-Jun
    Zhu Wei-Jun
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2008, 1 (01) : 18 - 23
  • [10] Simulation of interannual SST variability in the tropical Indian Ocean
    Behera, SK
    Salvekar, PS
    Yamagata, T
    JOURNAL OF CLIMATE, 2000, 13 (19) : 3487 - 3499