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https://repository.seku.ac.ke/handle/123456789/2581| Title: | Temporal and spatial variability of temperature and precipitation over East Africa from 1951 to 2010 |
| Authors: | Ongoma, Victor Chen, Haishan |
| Keywords: | Climate Research Unit South Sudan Indian Ocean Warming Lake Victoria Region Annual Rainfall Cycle Rainfall Time Series Rainfall Anomaly Rainfall Variability Positive Rainfall Anomaly Mam Season Lake Victoria Basin Western Indian Ocean Indian Ocean Dipole |
| Issue Date: | 21-May-2016 |
| Publisher: | Springer Verlag |
| Citation: | Meteorology and Atmospheric Physics pp 1-14 |
| Abstract: | This study presents temporal and spatial changes in temperature and precipitation over East Africa (EA) from 1951 to 2010. The study utilized monthly Climate Research Unit (CRU) rainfall and temperature datasets, and Global Precipitation Climate Centre (GPCC) rainfall datasets. Sequential Mann–Kendall test statistic was used for trend analysis. The CRU data performs better than GPCC data in reproducing EA annual rainfall cycle. Overall decrease and increase in rainfall and temperature trends were observed, respectively, with the reduction in the March–May rainfall being significant. The highest rate of change in annual rainfall was experienced in the 1960s at −21.76 mm/year. Although there has been increase in temperature from the late 1960s to date, sudden change in its trend change happened in 1994. The increase in temperature reached a significant level in the year 1992. The highest warming rate of 0.05 °C/year was observed in the 1990s. The highest drying rate was recorded in the 1960s at −21.76 mm/year. There was an observed change in rainfall trend in the year 1953 and about four times in 1980, although the changes are insignificant throughout the study period except for 1963 when a positive significant change occurred at 5 % significance level. The highest amount of rainfall was recorded in the 1960s. Generally, positive rainfall and temperature anomalies are observed over the northern sector of the study area and opposite conditions are noted in the southern sector. The results of this study provide a reliable basis for future climate monitoring, as well as investigating extreme weather phenomena in EA. |
| Description: | DOI 10.1007/s00703-016-0462-0 |
| URI: | http://link.springer.com/article/10.1007/s00703-016-0462-0 http://repository.seku.ac.ke/handle/123456789/2581 |
| ISSN: | 0177-7971 |
| Appears in Collections: | School of Agriculture, Environment, Water and Natural Resources Management (JA) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Ongoma_Temporal and spatial....pdf | abstract | 86.37 kB | Adobe PDF | ![]() View/Open |
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