GLOBAL LAND TEMPERATURE ANALYSIS USING HADOOP USER EXPERIENCE (Hue)
Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.8, No. 7)Publication Date: 2017-07-19
Authors : M JHANSI K PUSHPA RANI CHANDRASEKHARA REDDY T;
Page : 249-255
Keywords : Temperature; Region; Latitude; Longitude; Hadoop; Hue.;
Abstract
Extreme hot and cold temperatures are to become increasingly common features of our weather as climate change starts to bite, according to researchers from North Eastern University, the US. This temperature variation has long been alongside global temperature rises, but this is the first time the prediction has been supported by big data analysis of the latest climate models and data sets. They characterize temperature extremes and determine how factors such as seas geographic region and proximity to the sea affected their variation. place represents the state of the atmospheric environment over a brief period of time. An analysis of the climate of a particular region can help in assessing the sea periods during which a person may experience comfortable or uncomfortable conditions. El Nino and La Nina are the notable events that changed the temperatures on earth. graphic results shown in the section.4
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