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  • 标题:Rainfall and temperature changes and variability in the Upper East Region of Ghana
  • 本地全文:下载
  • 作者:Abdul‐Rahaman Issahaku ; Benjamin Betey Campion ; Regina Edziyie
  • 期刊名称:Earth and Space Science
  • 电子版ISSN:2333-5084
  • 出版年度:2016
  • 卷号:3
  • 期号:8
  • 页码:284-294
  • DOI:10.1002/2016EA000161
  • 语种:English
  • 出版社:John Wiley & Sons, Ltd.
  • 摘要:The aim of the research was to assess the current trend and variation in rainfall and temperature in the Upper East Region, Ghana, using time series moving average analysis and decomposition methods. Meteorological data obtained from the Ghana Meteorological Agency in Accra, Ghana, from 1954 to 2014 were used in the models. The additive decomposition model was used to analyze the rainfall because the seasonal variation was relatively constant over time, while the multiplicative model was used for both the daytime and nighttime temperatures because their seasonal variations increase over time. The monthly maximum and the minimum values for the entire period were as follows: rainfall 455.50 and 0.00 mm, nighttime temperature 29.10°C and 13.25°C and daytime temperature 41.10°C and 26.10°C, respectively. Also, while rainfall was decreasing, nighttime and daytime temperatures were increasing in decadal times. Since both the daytime and nighttime temperatures were increasing and rainfall was decreasing, climate extreme events such as droughts could result and affect agriculture in the region, which is predominantly rain fed. Also, rivers, dams, and dugouts are likely to dry up in the region. It was also observed that there was much variation in rainfall making prediction difficult. Day temperatures were generally high with the months of March and April have been the highest. The months of December recorded the lowest night temperature. Inhabitants are therefore advised to sleep in well‐ventilated rooms during the warmest months and wear protective clothing during the cold months to avoid contracting climate‐related diseases.
  • 关键词:rainfall;trend analysis;temperature;climate variability;time series;climate change
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