Web-based application to model, analyze, visualize, and predict global surface temperature anomalies.

This web application allows the user to analyse, visualize, and predict global surface temperature anomalies in degress centrigrade and per capita carbon dioxide emissions of ten countries. The web application is called MyClimateModel and can be launched by going to the command prompt where the web application code resides on my laptop.

• Open windows command prompt

• cd MyClimateModel change directory to the location of MyClimateModel

• workon MyClimateModel This is a windows command which comes with virtualenvwrapper for windows. This virtualenv wrapper lets you create many different Python environments. Working on a python project in an isolated python environment is recommended so that python modules and packages don’t meddle with that of other projects or even that of the operating system.

• python routes.py. This starts the web application built using Flask(which is a micro web framework written in Python).

• To use the web application launch any browser either edge, chrome or firefox and access the web site by typing http://localhost:5000

The web application has links that allows the user to do the following

• Temperature Anomaly Analysis This does the temperature anomaly analysis of global surface temperature.

• Carbon Dioxide Emission Analysis

The carbon dioxide analysis is for the countries below World, India, China, United Kingdom, United States, Nigeria Brazil, Australia, Japan, and Germany.

• Carbon Offset

This shows the tree offset (millions of trees) for the countries World, India, China, United Kingdom, United States, Nigeria Brazil, Australia, Japan, Germany.

This module requires the following software modules:

• Anaconda

• Pip

• VirtualEnv

• VirtualEnvWrapper-win

• Python Libaries: pandas, calendar, datetime, timedelta, numpy, matplotlib

• Fbprophet library

The modules present in the web application are the following:

• Temperature Anomaly Analysis

• Carbon Dioxide Emission Analysis

• Carbon Offset

• Install Anaconda https://docs.anaconda.com/anaconda/install/windows/

• Install VirtualEnv Open a command prompt and type pip install virtualenv

• Install VirtualEnvWrapper-win Open a command prompt and type pip install virtualenvwrapper-win

• Install python libraries pandas, calendar, datetime, timedelta, numpy, matplotlib Open a command prompt and type pip install numpy, matplotlib

• Install fbprophet https://facebook.github.io/prophet/docs/installation.html

• If all the plots and images on the Carbon Dioxide Emission Analysis page do not render click the the back button on the browser. As there are visualizations for ten countries running on a development server the images don't render sometimes on the first instance.

Current maintainers:

• Yashnil Saha