2006
DOI: 10.1175/bams-87-7-941
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Seasonal to Decadal Prediction of Southern African Climate and Its Links with Variability of the Atlantic Ocean

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Cited by 182 publications
(184 citation statements)
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“…Therefore, the fact that there is no simple relationship between interannual rainfall variability in Zimbabwe rainfall and the IODZM suggests that other low frequency climate processes are also at play. These may include modes of the Atlantic Ocean, sub-tropical and extra-tropical variability as described by Reason (2001); Reason et al (2006) and Mulenga et al, 2003;and Washington and Todd 1999, respectively. However, it is quite possible that the relationship of the positive IODZM and more intense droughts is supreme, as the mode is linked to virtually all extreme droughts and as much as two-thirds of the severe droughts.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the fact that there is no simple relationship between interannual rainfall variability in Zimbabwe rainfall and the IODZM suggests that other low frequency climate processes are also at play. These may include modes of the Atlantic Ocean, sub-tropical and extra-tropical variability as described by Reason (2001); Reason et al (2006) and Mulenga et al, 2003;and Washington and Todd 1999, respectively. However, it is quite possible that the relationship of the positive IODZM and more intense droughts is supreme, as the mode is linked to virtually all extreme droughts and as much as two-thirds of the severe droughts.…”
Section: Discussionmentioning
confidence: 99%
“…At the climate variability time scale, while the effects of ENSO are less consistent in southern Africa, Pohl et al, [10] Reason et al [11] and Landman and Beraki [12] show that seasonal scale climate variability over southern Africa is variably predictable and in some cases (particularly in the north-east) strongly associated with the ENSO state. Lazenby et al [13] have considered the prediction skill of temperature variability at the seasonal time scale for various time frames (in months) and various lead times and show the utility (and current limitations) of these predictabilities in respect of health applications.…”
Section: Climate Variability and Change In Southern Africamentioning
confidence: 98%
“…Node 12, the synoptic forcing is not as favourable as in Node 4, but local conditions are favourable for the development of thundershowers, as the surface temperatures are higher and the atmosphere is Composite maps for every node of the mean 850 hPa geopotential heights (shaded), 700 hPa moisture flux (arrows), 500 hPa geopotential heights (black contours) and southern subcontinent (Reason et al 2006). The 500 hPa high pressure centre is in the same location at the 700 hPa high, but with very weak geopotential gradients over South Africa.…”
Section: Early Summer Heavy Rainfallmentioning
confidence: 99%