Abstract

Abstract. Temperature, precipitation and sunshine duration measurements at meteorological stations across the southern Indian Ocean have been analysed to try to differentiate the possible influence of the Mount Pinatubo volcanic eruption in the Philippines in June 1991 and the normal weather forcings. During December 1991, precipitation on the tropical islands Glorieuses (11.6° S) and Mayotte (12.8° S) was 4 and 3 times greater, respectively, than the climatological mean (precipitation is greater by more than than twice the standard deviation (SD)). Mean sunshine duration (expressed in sun hours per day) was only 6 h on Mayotte, although the sunshine duration is usually more than 7.5 ± 0.75 h, and on the Glorieuses it was only 5 h, although it is usually 8.5 ± 1 h. Mean and SD of sunshine duration are based on December (1964–2001 for Mayotte, 1966–1999 for the Glorieuses). The Madden–Julian Oscillation (MJO) is shown to correlate best with precipitation in this area. Variability controlling the warm zone on these two islands can be increased by the Indian Ocean Dipole (IOD), El Niño, the quasi-biennial oscillation (QBO) and/or solar activity (sunspot number, SSN). However, temperature records of these two islands show weak dependence on such forcings (temperatures are close to the climatological mean for December). This suggests that such weather forcings have an indirect effect on the precipitation. December 1991 was associated with unusually low values of the MJO index, which favours high rainfall, as well as with El Niño, eastern QBO and high SSN, which favour high variability. It is therefore not clear whether the Mount Pinatubo volcanic eruption had an effect. Since the precipitation anomalies at the Glorieuses and Mayotte are more or less local (Global Precipitation Climatology Project (GPCP) data) and the effect of the Pinatubo volcanic cloud should be more widespread, it seems unlikely that Pinatubo was the cause. Islands at higher southern latitudes (south of Tromelin at 15.5° S) were not affected by the Pinatubo eruption in terms of sunshine duration, precipitation or temperature.

Highlights

  • It is well established that anthropogenic climate change is taking place on a global scale, the quantification and prediction at the regional scale is still very uncertain

  • At the end of the year the DMI changes sign, which should not lead to a strong influence of the dipole on precipitation behaviour in December. The DMI is often smaller in December than during the rest of the year, the precipitation in all cases is more during the years of Indian Ocean Dipole (IOD)+ phase than the mean precipitation observed over the whole year, both in the Glorieuses and Mayotte

  • This paper has examined possible effects of the Pinatubo eruption on the climatic variables total precipitation, temperature and sunshine duration for Indian Ocean islands against the background of other weather forcings (ENSO, IOD, quasi-biennial oscillation (QBO), sunspot number (SSN), Madden–Julian Oscillation (MJO))

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Summary

Introduction

It is well established that anthropogenic climate change is taking place on a global scale, the quantification and prediction at the regional scale is still very uncertain. The mechanism through which ENSO exerts its influence on the Indian Ocean is not clearly understood, but it has been related to the changes in zonal Walker circulation and affects the weather in all ocean basins (e.g. including the Indian Ocean) Added to this situation, the positive phase of the Indian Oscillation Dipole (IOD) may have an influence on weather events, in particular precipitation in the Indian Ocean. The influence of different geophysical climate forcings (such as IOD and ENSO), including the Pinatubo eruption, on precipitation and sunshine duration anomalies following June 1991. From pure El Niño composites (without IOD), Chang et al (2005) reported that cold SST anomalies of Pacific origin, entering the Indian Ocean, propagate along the west coast of Australia.

Station location
In situ data
Satellite data
MJO indices
Spectral analysis
Correlation analysis
Characteristics of the years as a function of El Niño and IOD
MJO forcing
Conclusions
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