In this post, you will get to learn about top data sources online from where you can learn and get data for doing research on climate change. Vitalflux is committing itself to AI and climate change research for next 15 years. You will get to learn about climate change and how data science / machine learning can be leveraged to tackle climate change in time to come.
Without further ado, lets list down the data sources related to climate change research:
- United Kingdom’s Met Office Hadley Centre: Researchers at the Met Office Hadley Centre produce and maintain a range of gridded datasets of meteorological variables for use in climate monitoring and climate research.
- Nasa’s Goddard institute of space studies: Provides datasets related to earth observations (temperature, oceans, clouds, aerosols, storms etc) climate simulations, climate forcings, climate impacts etc.
- National centers for environmental information: Provides free access to NCDC’s archive of global historical weather and climate data in addition to station history information. These data include quality controlled daily, monthly, seasonal, and yearly measurements of temperature, precipitation, wind, and degree days as well as radar data and 30-year Climate Normals.
- Centre for environmental data analysis (CEDA): Provides an access to over 15 Petabytes of atmospheric and earth observation data. Sources include aircraft campaigns, satellites, automatic weather stations and climate models, amongst many more.
- Nasa’s Socio-economic data and applications center (SEDAC): Provides data sets related to climate impact on social and economic conditions. Includes topics of impact such as deforestation, crop production, fresh water availability, poverty, food insecurity, dams and reservoirsc, drought, flood hazard etc.
- Organization for economic co-operation and development: Provides data covering the topics such as air & climate, forest, water, waste, environmental policy, materials and biodiversity.
- Worldbank data on climate change: Provides datasets related to CO2 emissions, forest, water, renewable energy etc.
I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.
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I want to use machine or deep learning for my PhD do data analysis
would you please help me with this issue
Thank you Tolera for reaching out. Lets connect. My email address is ajitesh@gmail.com