Thermal_Warming

This project aims to study presence of global warming and analyse key factors that may contribute to it through analysis of Data obtained from NASA and NOAA sources.

This project examines and tries to

- statistically prove that Global temperatures are rising

- to derive correlation between CO2 , Solar radiation and Aerosol particles.

Key steps are

• Extraction of data from multiple FTP sources ( NASA, NOAA) in csv, JSON and .NAS formats
• Data cleaning using Pandas involved - filtering data only after 1975 - Interpolating missing values with row-wise mean for numerical values - Correcting data formats( eg. number string to floats etc.,) - Finally, cleaned Data was grouped and summarized

Analysis - Level 1:

• First level of analysis was conducted by visualizing data using Seaborn Library.
• Simple time-series plots and scatter plots were created to understand global temperature trends.
• The resulting plot is as below

Analysis - Level 2

• In the next level, Independent t-test and ANOVA was conducted to derive the p-value.
• The significance level (p-value) will help statistically prove that temperatures are rising
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Analysis - Level 3

• In this level, correlation study was performed to understand what drives the temperature to rise. Three factors analysed were Atmospheric CO2, Total Solar Radiation and Aerosol Concentration
• Pearson Method of correlation was conducted to derive r-value
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