Cloud-based application for meteorological data conversion and analysis – weather converter v1.0

The current study was undertaken to develop a cloud-based application -Weather Converter v1.0, to automatically calculate the monthly, annual, and seasonal data using daily meteorological data. This application can also predict changes in meteorological parameters over time. Using daily meteorological data, this program can produce monthly, yearly, and seasonal data and plot the graph results and trend lines for each period. Furthermore, this application can determine the trend equations that may be used to forecast future climate data. The application was tested using daily precipitation data of Srinagar Weather station recorded between 1 January 1969 and 31 December 2000. The results of the calculations of the monthly, annual and seasonal periods from the application were compared with the data calculated manually from the exact data for the same period using Microsoft Excel software. In all three cases, the coefficient of regression between the results of the developed application and the manual calculations was equal to 1. The high coefficient of regression shows that the application is capable of accurately calculating monthly, annual, and seasonal data, making it suitable for meteorological data conversion and analysis.