Temperature Trends

This study presents the analysis of rainfall and temperature across the climatic zones in Nigeria. Data from ten Global Circulation Models (GCM) regridded to a 1° x 1° spatial resolution was used in this study. Model evaluation was carried out for the models using ground observed data from Nigerian Meteorological Agency (NIMET). Based on the comparison of the models with ground observed data, the ability of the models in simulating the seasonal pattern of precipitation and temperature over each climatic zone and the whole of Nigeria differ to different degrees. Of the four periods, June, July, August (JJA) showed the highest deviation. The seasonal variation of rainfall and temperature across the climatic zones revealed the influence of the Intertropical Discontinuity (ITD) in rainfall variation across each zone with dual rainfall peak over the Guinea. The rainfall distribution showed that Sahel recorded the lowest rainfall while guinea recorded the highest rainfall. Further analysis revealed that rainfall and temperature varied mostly in the sahel. The trend analysis of rainfall and temperature showed increasing trend in rainfall over the whole of Nigeria under RCP45 and RCP85. There was general increase in temperature for all RCPs across the zones and the whole of Nigeria. Further analysis revealed that sahel will experience more dry Original Research Article

Temperature trend’s investigation is important for proper water resources management and urban planning. This study aims to investigate trends and distribution of temperature in the past thirty years for the Kingdom of Saudi Arabia (KSA), which represents about 86% of the Arabian Peninsula’s area. Approach: The trend in the temperature time series, including the recorded maximum, average and minimum daily values, were analyzed using non-parametric statistics. These were Mann-Kendall tau coefficient and Sen’s slope estimator. Results: (1): The study showed a warming trend through 9 months of the year except in November to January where nonsignificant cooling trends were observed. (2): The most significant warming trend appears in the summer months of June, August and September around the central region of KSA. (3) Spatially, The northwestern and southern regions were the least affected by the warming trend. Conclusion: The study concluded that KSA as well as the Arabian Peninsula are...

Trends in time series data estimated with OLS linear regression may be tested with a robust procedure that is less sensitive to influential observations and violations of regression assumptions. The test consists of comparing the average age of data tritiles. If the higher tritiles are newer a rising trend is indicated for the sample period. If the higher tritiles are older a declining trend is indicated. If neither of these conditions is met, no sustained trend in the sample period may be inferred from the data. Daily temperature data from selected USHCN and USCRN  stations are used to demonstrate the utility of the proposed methodology.

Temperature trend’s investigation is important for proper water resources management and urban planning. This study aims to investigate trends and distribution of temperature in the past thirty years for the Kingdom of Saudi Arabia (KSA), which represents about 86% of the Arabian Peninsula’s area. Approach: The trend in the temperature time series, including the recorded maximum, average and minimum daily values, were analyzed using non-parametric statistics. These were Mann-Kendall tau coefficient and Sen’s slope estimator. Results: (1): The study showed a warming trend through 9 months of the year except in November to January where nonsignificant cooling trends were observed. (2): The most significant warming trend appears in the summer months of June, August and September around the central region of KSA. (3) Spatially, The northwestern and southern regions were the least affected by the warming trend. Conclusion: The study concluded that KSA as well as the Arabian Peninsula are suffering from a considerable warming temperature trend, which is an important issue to be considered for rural development and water resources management.