𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A NOTE ON THE TIMING OF PRECIPITATION VARIABILITY IN ZIMBABWE AS RELATED TO THE SOUTHERN OSCILLATION

✍ Scribed by WAYLEN, PETER; HENWORTH, STUART


Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
718 KB
Volume
16
Category
Article
ISSN
0899-8418

No coin nor oath required. For personal study only.

✦ Synopsis


Simple cross-correlations between both annual and monthly precipitation totals and equivalent values of the Southern Oscillation Index reveal the expected synchronous positive associations, with a strong signal of opposing conditions in the following year. Inspection of the spatial distribution of significant results indicates the strongest associations in the northern and central areas, distinct from the zones of greatest association identified in South Africa. Analysis at the monthly scale reveals that both positive and negative associations are not evenly distributed throughout the rainy season, but are concentrated in the early and late months of the season. In addition to their practical implications, these findings suggest that the processes inducing precipitation variability in conjunction with the Southern Oscillation are distinct from the linking of tropical and extratropical troughs that are identified extensively in South Africa.


πŸ“œ SIMILAR VOLUMES


A note on the use of the standard normal
✍ A. Toreti; F. G. Kuglitsch; E. Xoplaki; P. M. Della-Marta; E. Aguilar; M. Prohom πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 83 KB

## Abstract Homogenization methods are developed to reduce the impact of non‐climatic factors on climate series. MartΓ­nex __et al.__ (2009), (__International Journal of Climatology__, Doi 10.1002/joc.1884) applied a set of homogenization procedures to available Spanish temperature series. In this r

Spatial variability of soils developing
✍ Eppes, M. C.; Harrison, J. B. J. πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 607 KB

If the systematic spatial variability of soils in a chronosequence is identified and accounted for, the accuracy of quantitative data derived from soil chronosequence studies will be increased. A sample design using landscape positions with minimal variability could result in more accurate chronofun