Leveraging In-Memory Computations for Climate Analytics [ READ ]
Roshni P, Surekha Mariam Varghese
Big-data analysis entered a new way for climate analytics using real time data. Variations or changes in the weather can be continuously monitored and analysed using big data techniques. Identifying the heavy thunderstorms from satellite data can prevent hazardous situations. And they are also important for climate and agricultural studies. The cloud elements that cause heavy thunderstorms are observed from infrared satellite data. These features are identified on infrared satellite data via their cloud size, shape and temperature. The cloud elements that cause thunderstorms are identified using graph automated theory called Grab ‘em Tag’ em Graph ‘em method. The specified method is parallelized in the system to improve the performance by handling enormous amount of data and their performance against conventional identification system is also performed.
Roshni P, Surekha Mariam Varghese
Big-data analysis entered a new way for climate analytics using real time data. Variations or changes in the weather can be continuously monitored and analysed using big data techniques. Identifying the heavy thunderstorms from satellite data can prevent hazardous situations. And they are also important for climate and agricultural studies. The cloud elements that cause heavy thunderstorms are observed from infrared satellite data. These features are identified on infrared satellite data via their cloud size, shape and temperature. The cloud elements that cause thunderstorms are identified using graph automated theory called Grab ‘em Tag’ em Graph ‘em method. The specified method is parallelized in the system to improve the performance by handling enormous amount of data and their performance against conventional identification system is also performed.
