Trends and Periodicities in East African Rainfall DataSource: Monthly Weather Review:;1976:;volume( 104 ):;issue: 003::page 307DOI: 10.1175/1520-0493(1976)104<0307:TAPIEA>2.0.CO;2Publisher: American Meteorological Society
Abstract: Annual rainfall values from 35 stations in parts of East Africa (Kenya, northern Tanzania, and south-eastern Uganda) are analyzed for trend, periodicities, and variability. The data cover time periods ranging from 44 to 83 years. After normalizing the series by dividing by the long-term mean, areal averaged series are constructed. Spectral analysis by the Blackman-Tukey method shows in most cases peaks at frequencies corresponding to the following time periods: 2?2.5, about 3.5, and 5?5.5 years. The area distribution and the statistical significance of these peaks are briefly discussed. Smoothing by binomial coefficients is applied to the data series to filter out short period fluctuations. The resulting series show no definite long term trends, except possibly at some stations in northern Kenya where a trend towards increased precipitation in the recent years is indicated.
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contributor author | Rodhe, H. | |
contributor author | Virji, H. | |
date accessioned | 2017-06-09T16:01:06Z | |
date available | 2017-06-09T16:01:06Z | |
date copyright | 1976/03/01 | |
date issued | 1976 | |
identifier issn | 0027-0644 | |
identifier other | ams-58888.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4199384 | |
description abstract | Annual rainfall values from 35 stations in parts of East Africa (Kenya, northern Tanzania, and south-eastern Uganda) are analyzed for trend, periodicities, and variability. The data cover time periods ranging from 44 to 83 years. After normalizing the series by dividing by the long-term mean, areal averaged series are constructed. Spectral analysis by the Blackman-Tukey method shows in most cases peaks at frequencies corresponding to the following time periods: 2?2.5, about 3.5, and 5?5.5 years. The area distribution and the statistical significance of these peaks are briefly discussed. Smoothing by binomial coefficients is applied to the data series to filter out short period fluctuations. The resulting series show no definite long term trends, except possibly at some stations in northern Kenya where a trend towards increased precipitation in the recent years is indicated. | |
publisher | American Meteorological Society | |
title | Trends and Periodicities in East African Rainfall Data | |
type | Journal Paper | |
journal volume | 104 | |
journal issue | 3 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/1520-0493(1976)104<0307:TAPIEA>2.0.CO;2 | |
journal fristpage | 307 | |
journal lastpage | 315 | |
tree | Monthly Weather Review:;1976:;volume( 104 ):;issue: 003 | |
contenttype | Fulltext |