Open AccessAnalysis of Weather Forecasting Techniques
Author(s) -
Swati Pandey,
Shruti Sharma,
Shubham Kumar,
Kanchan Bhatt,
Rakesh Kumar Arora
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/cseit217421
Subject(s) - weather prediction , meteorology , weather forecasting , wind speed , weather patterns , environmental science , model output statistics , computer science , climatology , geography , climate change , geology , oceanography
Weather forecasting is one of the important science application in our daily planning activities. This application has played a significant role to humans from a long time. Every human relied on their philosophical experience and other weather phenomenon to predict the weather and infer what was coming their way. This was the knowledge gathered over many years observations and has been passed from one generation to another. To predict the future’s weather condition, the variation in the conditions in past year must be utilized. The probability that the weather condition of the day in consideration will match the same day in previous year is very less. But the probability that it will match within the spam of adjacent fortnight of previous year is very high. In this paper, we analyse the use of various data mining techniques in forecasting maximum temperature, rainfall and wind speed.