Simulation and Modelling of Maximum and Minimum Temperature of Karachi

Abstract

In the recent past weather derivatives have developed significant interest in surface air temperature and its modeling. In this work, we modelled and simulated daily average temperature. We used three different methods to model and simulate the recorded data at Karachi airport from 2010-2014. The methods used in this work are moving average method, polynomial fitting and maximum entropy method. Both polynomial fitting and maximum entropy methods can be used to find missing data. The simulated graphs and graphs of recorded data are in good agreement. 

Keywords: Karachi airport, surface air temperature, moving average, polynomial curve fitting. Maximum Entropy method.