The intensity of solar energy that is received by a particular location is affected by most meteorological conditions including, the solar irradiance received by the location, precipitation, extreme heat as a result of the surface or ambient temperature, etc. We obtain the monthly global solar irradiation and ambient temperature for the three (3) eco-climatic zones in the south of Nigeria (17 locations) for 12 years (2005 - 2016) from the Photovoltaic Geographical Information System (PVGIS) Satellite. The goal of this study is to understand how regional meteorological conditions affect radiation and temperature reception. Monthly and annual trends were plotted and compared for both variables in each region to show the similarity or dichotomy in their trends. The Mann-Kendall (M-K) trend test has been adopted to reveal that the changes in the variations on an annual basis, and results showed that the trend were not significant for both variables. Box plots have been used to give a better description of the data, and compared to show similarities and differences. Finally, we adopted the Gaussian (normal) distribution to show, understand and compare the data distribution. Linear regression plots for each zone shows that the relationship between the solar irradiation and temperature is high. Results show that the climate and vegetation of a region contributes majorly to the variation of radiation and temperature. Inhomogeneityof data or results for locations in the same zones may be attributed to local meteorological conditions. The results obtained here will prove vital in decision making relating to the adoption of solar energy technologies in the region. Results show that the climate and vegetation of a region contributes majorly to the variation of radiation and temperature. Inhomogeneity of data or results for locations in the same zones may be attributed to local meteorological conditions.

This article reviews the first to sixth report of the Inter-Governmental Panel on Climate Change (IPCC). The types of greenhouse gases, sources of greenhouse gases and the impact of climate change on man, animals and the environment has been identified. The strategies to combat climate change has been studied in these reports. A review of these reports are necessary and it is an obligatory document required to combat the adverse effects of climate change and global warming.

It is common knowledge that tropospheric variables affect signals, thereby distorting coverage. Since the major factor affecting dropped calls is coverage and the penetration depth of the signal strength transmitted by a wireless system determines its coverage, therefore, there is a tendency for tropospheric variables to affect dropped calls. This research investigates the effects of relative humidity, wind speed, rainfall and temperature on dropped calls for four mobile networks (MTN, Airtel, Globacom and 9mobile) in Cross River State, Nigeria. Six years data of weather variables collected from the Nigerian Meteorological Agency (NiMet), Cross River State and six years Drop Call Rate (DCR) data obtained from the telecommunications regulatory body, Nigerian Communication Commission (NCC), was used for this study, both spanning from January 2015 to December 2020. From the collected data, graphs were plotted and, in each case, the DCR of the mobile networks were the dependent variables while the tropospheric variables were the independent variables. Also, regression models were obtained to forecast the DCR of each network, provided the tropospheric variable at each given period is known. Finally, the variables were correlated to give a picture of how each tropospheric variable related to the DCR of the mobile networks. For MTN and 9mobile networks, a low positive correlation was obtained for rainfall and relative humidity, a highly positive correlation was obtained for wind speed while a lowly negative correlation was obtained for temperature. For Airtel network, a moderately negative correlation exists between DCR and relative humidity/temperature while a low positive relationship existed for rainfall. However, a low negative relationship was observed for wind speed. For Globacom network, a moderately negative and a moderately positive relationship was obtained for rainfall and relative humidity respectively while a highly positive and a lowly negative correlation was obtained for temperature/wind speed against DCR. This result will be very useful to the meteorologist, mobile network planners and the network operators.

No abstract