Abstract
Monitoring and prediction of the climatic phenomenon are of keen interest in recent years because it has great influence in the lives of people and their environments. This paper is aimed at reporting the variation of daily and monthly solar radiation, air temperature, relative humidity (RH), and dew point over the year of 2013 based on the data obtained from the weather station situated in Damak, Nepal. The result shows that on a clear day, the variation of solar radiation and RH follows the Gaussian function in which the first one has an upward trend and the second one has a downward trend. However, the change in air temperature satisfies the sine function. The dew point temperature shows somewhat complex behavior. Monthly variation of solar radiation, air temperature, and dew point shows a similar pattern, lower at winter and higher in summer. Maximum solar radiation (331 Wm-2) was observed in May and minimum (170 Wm-2) in December. Air temperature and dew point had the highest value from June to September nearly at 29°C and 25°C, respectively. The lowest value of the relative humidity (55.4%) in April indicates the driest month of the year. Dew point was also calculated from the actual readings of air temperature and relative humidity using the online calculator, and the calculated value showed the exact linear relationship with the observed value. The diurnal and nocturnal temperature of each month showed that temperature difference was relatively lower (less than 10°C) at summer rather than in winter.
Highlights
Monitoring and prediction of the climatic phenomenon have developed over the years; as a result, wide knowledge and information have been gathered that have helped to understand and to predict it
Climatic change has a great influence on the lives of people and their environments [1]
From the statistical point of view, it is concluded that in a clear and sunny day, the variation of solar radiation and relative humidity follows the Gaussian distribution but the air temperature variation is governed by a sine function
Summary
Monitoring and prediction of the climatic phenomenon have developed over the years; as a result, wide knowledge and information have been gathered that have helped to understand and to predict it. Climatic change has a great influence on the lives of people and their environments [1]. It is influenced by the location latitude, elevation, and proximity to water bodies. Even for the design of a solar energy conversion system, it requires precise knowledge of the availability of global solar radiation at the location of interest [3,4,5]. The total solar radiation potential will be a key factor for designing and predicting the performance of solar energy equipment [6,7,8]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
