Temporal rainfall variability in the Lake Victoria Basin in East Africa during the twentieth century

Kizza, M.; Rodhe, Allan; Xu, Chong‐Yu; Ntale, Henry K.; Halldin, Sven

doi:10.1007/s00704-008-0093-6

Cited by 151 publications

(141 citation statements)

References 29 publications

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“…The period from 1960 to mid-1980s was characterized by its change in annual rainfall above the reference; this OH was significant at stations 2, 4, and 7. This is consistent with the findings of Kizza et al (2009) that for the Lake Victoria basin, there was a significant step jump in mean of annual rainfall in the 1960s. Generally, the oscillation patterns of the annual rainfall QPM results at stations of group A are consistent with the findings of Mbungu et al (2012) and Nyeko-Ogiramoi et al (2013) for the Lake Victoria basin.…”

Section: Spatial Differences In Rainfall Statisticssupporting

confidence: 92%

Spatial and temporal variability of rainfall in the Nile Basin

Onyutha

Willems

2015

Hydrol. Earth Syst. Sci.

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Abstract. Spatiotemporal variability in annual and seasonal rainfall totals were assessed at 37 locations of the Nile Basin in Africa using quantile perturbation method (QPM). To get insight into the spatial difference in rainfall statistics, the stations were grouped based on the pattern of the long-term mean (LTM) of monthly rainfall and that of temporal variability. To find the origin of the driving forces for the temporal variability in rainfall, correlation analyses were carried out using global monthly sea level pressure (SLP) and sea surface temperature

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Section: Spatial Differences In Rainfall Statisticssupporting

confidence: 92%

Spatial and temporal variability of rainfall in the Nile Basin

Onyutha

Willems

2015

Hydrol. Earth Syst. Sci.

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“…The most popularly used non-parametric test is the Mann-Kendall (MK) test (Mann 1945;Kendall 1955). It has been widely used for different climatic variables in various trend studies including those of Kampata et al (2008), Kizza et al (2009), Ngongondo et al (2011), Rai et al (2010, and Nsubuga et al (2011). We applied the MK test at a significance level of 5 % to study the temporal trends of the following: (a) total annual rainfall and its coefficient of variability, (b) monthly total rainfall, and (c) seasonal total rainfall.…”

Section: Trend Analysismentioning

confidence: 99%

“…When it comes to reviewing germane studies in Uganda, a limited number appear to be available. For example, on the temporal distribution of rainfall in the Lake Victoria basin, Kizza et al (2009) reported that the Lake Victoria basin experienced a predominantly positive trend over the twentieth century. Phillips and McIntyre (2000) in-vestigated the subregional significance of El Niño-Southern Oscillation (ENSO) events in Uganda, distinguishing between unimodal and bimodal rainfall zones from 1931 to 1960 for 33 sites.…”

Section: Introductionmentioning

confidence: 99%

“…Lack of information on the characteristics of these natural water resources may result in poor decisions on Uganda's economy and human health which are vulnerable to climatic anomalies. As demonstrated, a few studies (Samson 1952;Kizza et al 2009) have been done to investigate trends and variability of rainfall in Uganda. For instance, Samson (1952) investigated trends of East Africa rainfall and used only 14 stations from Uganda to the year 1949.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Samson (1952) investigated trends of East Africa rainfall and used only 14 stations from Uganda to the year 1949. On the other hand, Kizza et al (2009) usedsix stations found in the Victoria basin of Uganda to study the temporal variability in the Lake Victoria basin during the twentieth century. The main objectives of this paper are (1) to describe the spatial patterns of rainfall and concentration and the interannual variability of annual and monthly rainfall concentrations for the period 1943 to 1977 using 58 station locations in the Albert-Victoria water management area of Uganda and (2) to analyze the rainfall trends based on both monthly and annual series using parametric and non-parametric tests.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of mid-twentieth century rainfall trends and variability over southwestern Uganda

Nsubuga

Olwoch

Rautenbach

et al. 2013

Theor Appl Climatol

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A methodology has been applied to investigate the spatial variability and trends existent in a mid-twentieth century climatic time series (for the period recorded by 58 climatic stations in the Albert-Victoria water management area in Uganda. Data were subjected to quality checks before further processing. In the present work, temporal trends were analyzed using Mann-Kendall and linear regression methods. Heterogeneity of monthly rainfall was investigated using the precipitation concentration index (PCI). Results revealed that 53 % of stations have positive trends where 25 % are statistically significant and 45 % of stations have negative trends with 23 % being statistically significant. Very strong trends at 99 % significance level were revealed at 12 stations.

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Vegetation response to precipitation variability in East Africa controlled by biogeographical factors

et al. 2016

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Ecosystem sensitivity to climate variability varies across East Africa, and identifying the determinant factors of this sensitivity is crucial to assessing region‐wide vulnerability to climate change and variability. Such assessment critically relies on spatiotemporal data sets with inherent uncertainty, on new processing techniques to extract interannual variability at a priori unknown time scales and on adequate statistical models to test for biogeographical effects on vegetation‐precipitation relationships. In this study, interannual variability in long‐term records of normalized difference vegetation index and satellite‐based precipitation estimates was detected using ensemble empirical mode decomposition and standardized precipitation index with varying accumulation periods. Environmental effect modeling using additive models with spatially correlated effects showed that ecosystem sensitivity is primarily predicted by biogeographical factors such as annual precipitation distribution (reaching maximum sensitivity at 500 mm yr−1), vegetation type and structure, ocean‐climate coupling, and elevation. The threat of increasing climate variability and extremes impacting productivity and stability of ecosystems is most imminent in semiarid grassland and mixed cropland ecosystems. The influence of oceanic phenomena such as El Niño–Southern Oscillation and Indian Ocean Dipole is foremost reflected in precipitation variability, but prolonged episodes also pose risks for long‐term degradation of tree‐rich ecosystems in the East African Great Lakes region.

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Temporal rainfall variability in the Lake Victoria Basin in East Africa during the twentieth century

Cited by 151 publications

References 29 publications

Spatial and temporal variability of rainfall in the Nile Basin

Spatial and temporal variability of rainfall in the Nile Basin

Analysis of mid-twentieth century rainfall trends and variability over southwestern Uganda

Vegetation response to precipitation variability in East Africa controlled by biogeographical factors

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