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Ropelewski, C.F. and Jones, P.D. (1987) An Extension of the Tahiti-Darwin Southern Oscillation Index. Monthly Weather Review, 115, 2161-2165.
http://dx.doi.org/10.1175/1520-0493(1987)115<2161:AEOTTS>2.0.CO;2

has been cited by the following article:

  • TITLE: A Recent Study on the Relationship between Global Radiative Forcing and Global Annual Climatic Variability

    AUTHORS: Yehia Yehia Hafez, Mansour Almazroui

    KEYWORDS: Global Radiative Forcing, Global Annual Climatic Variability, Weather Elements, Climatic Indices

    JOURNAL NAME: Atmospheric and Climate Sciences, Vol.5 No.1, January 12, 2015

    ABSTRACT: The present paper investigates the relationship between the global radiative forcing (GRF) and global annual climatic variability. The relation between the GRF and global annual changes in the operational weather and climatic parameters is uncovered. There are several datasets which have been used to challenge this goal. The NCEP/NCAR Reanalysis dataset of several meteorological elements, such as air temperature, wind, surface pressure, outgoing long wave radiation, precipitation rate and geopotential height at level 500 hPa, etc. for the globe for the period (1948-2012), has been used. Furthermore, the GRF data for greenhouse gases through the period (1979-2010) has been used. Also, datasets of climatic indices NAO, SOI, El Nino 3.4 and SST during the period (1948-2012) have been used through this study. Time series analysis, anomaly and correlation coefficient technique methods have been used to analyze the datasets. The results reveal that there is an outstanding positive correlation coefficient (more than +0.80) between GRF and the global annual weather elements of surface air temperature, temperature and geopotential height at level 500 hPa, precipitation rate and sea surface temperature. CO2 has a significant correlation coefficient (+0.89) with the outcomes longwave radiation and sea surface temperature. There is a significant relationship between the global annual variability of weather and climatic elements and GHGs, global warming and climatic indices, NAO, SOI, El Nino 3.4 and SST.