Abstract:
The climate modeling is a complex area to work on. It is not easy to represent the atmospheric events in a model, because there are a lot of drivers and variables which af fects the local and global climate. Even if, somehow, some meteorological phenomenon can be fully represented mathematically, it is even harder to do the calculation through a computer or a super computer with the current technological developments. So, some assumptions, optimizations and simplifications must be done to work on climate. This study will examine the climate measurement station data distributed in Turkey. The randomly distributed real station data all around Turkey gathered from the Turkish State Meteorological Service database. Our goal is to obtain uniformly distributed grid data for temperature and precipitation. We have used interpolation, one of the most ancient and common computational method with a scale that allows us to create a high-resolution temperature and precipitation map of Turkey. With the help of MAT LAB build-in tools and functions, the scattered station data turned into a uniformly gridded data. The station data was very hard to work on, since the data begins from 1960. Meanwhile, the meteorology stations moved, closed, opened which caused a lot of incomplete and disconnected data. So, some normalization must be done, and the data become suitable for interpolation. To do the interpolation calculation, we used the MATLAB build-in function, scatteredInterpolant. It allowed us to calculate the scattered data into a gridded data. Once the interpolation completed, another MAT LAB toolbox used to project the results on a regional map. The mapping toolbox is very powerful in printing the results on a map, in this case on Turkey regional map. Finally, we have managed to obtain Turkey temperature and precipitation station data map between 1960-2016 in daily basis.
