Current estimates of GHG emissions depend on self-reported estimates, point measurements, and satellite data. The Climate TRACE tool uses newly available data science techniques to make all those different types of GHG observations work together.
The way it works is by using AI to integrate thousands of data points from a variety of sensors to “learn” what an emission source looks like and how it behaves in various conditions. Once the tool learns to identify a given type of emission source, it can scan the globe for other sources of the same type. Part of the development of the TRACE tool was ground truthing, which means verifying the estimate made by the TRACE tool by other methods, like visiting the site and measuring CO2 emissions manually.
One of the unique data sources the tool is able to integrate is called “textual analysis.” It can look at the technical specifications of GHG emitting equipment when it is listed for sale and incorporate it into the database so that when other equipment of the same type is identified by the tool, it will be able to estimate its emissions with better accuracy.
Climate TRACE has already made some surprising discoveries. According to TRACE data, only 14% of all corporate emissions are reported. The tool can make accurate measurements of methane emissions from factory farm operations and has identified some previously unknown emission sources, like hundreds of informal landfills that leak methane into the atmosphere.
TRACE data are available for free to the public on their website.
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Tags: Climate TRACE, the way we measure and understand greenhouse gas emissions, Vice President Al Gore