Figures in IPCC reports, especially those in the Summaries for Policy Makers, are often densely packed with information from multiple sources. This makes it challenging to understand the full impact of the figure without having additional information. This project will investigate adding interactive elements to key IPCC figures from the 5th Assessment Report or other recent Special Reports. These elements could include highlighting key aspects and relating them to key conclusions, adding numerical values or even animating graphics. The possibilities are endless.
- Lily Gouldsbrough, Lancaster Environment Centre, Lancaster University, Lancaster, UK, Twitter: https://twitter.com/lilygouldsbr
- Matt Amos, Lancaster Environment Centre, Lancaster University, Lancaster, UK, Twitter: https://twitter.com/mattamosphere
- Christoph Sauter, Department of Civil and Environmental Engineering, University of Strathclyde, Glasgow, UK
- Viola Heinrich, School of Geographical Sciences, University of Bristol, UK
- Ying Chen, University of Exeter
- Stephen Kelly, National Oceanography Centre, Southampton, UK
- Mat Collins, University of Exeter
We created 3 interactive figures using CMIP6 data.
- Figure 1: Global changes in CO2 emissions here.
- Figure 2: Regional Average Mean Changes in Temperature here and here.
- Figure 3: Temperature Anamoly Relative to 1861-1890 Average here.
Initially, we spent time processing the data...
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- AR6 region definitions https://github.com/SantanderMetGroup/ATLAS/tree/master/reference-regions
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- Historical and projected CO2 emissions data (https://esgf-node.llnl.gov/search/input4mips/)
- Processed and analyised the respective data being used as the input to the interactive figures
- Used the AR6 region definitions that will be used in the IPCC 6th Assessment Report (AR6) we created an interactive map
- Created an interactive graph of global historical and future net carbon emissions under different Shared Socio-Econimic Pathways (SPPs)
- Created an interactive world map plot showing the temperature anomaly relative to 1861-1890 average using SSP3.70 Regional Rivalry
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There are further README
files in key directories.
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.
├── notebooks
│ ├── [...].ipynb
│ └── [...].ipynb
│ The Jupyter Notebooks that we created
│
├── code
│ ├── [...].py
│ └── [...].py
│ Any code (Python or otherwise) that we created that doesn't
│ sit within a Notebook
│
├── results
│ ├── [...].pdf
│ └── [...].png
│ The key figures that we produced
│
├── data
│ ├── raw_data
│ │ Any data we used that didn't come from JASMIN
│ │
│ └── processed_data
│ Any output data that we produced
│
├── environment.yml
└── environment_frozen.yml
The libraries and versions that we used
- Adding different scenarios to the temperature anamoly plot.
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