Amidst ongoing global efforts to combat climate change, Climate Trace, an independent watchdog backed by former U.S. Vice President Al Gore, is challenging conventional emission reporting methodologies. Climate Trace utilizes advanced satellite data and artificial intelligence (AI) to independently track greenhouse gas emissions, providing a reality check on countries' self-reported figures.
At the United Nations annual climate change conference in the United Arab Emirates, Climate Trace presented its latest assessment, revealing substantial gaps in reported emissions. In 2021, Russia reportedly omitted greenhouse gases equivalent to 1.5 billion tons of CO2, while the United States underreported by 400 million tons, primarily from oil and gas operations. Across wealthy nations obligated to report to the U.N., Climate Trace estimates that 3 billion tons of CO2 equivalent gases went unreported, constituting approximately 5% of total global emissions.
The watchdog, formed by a coalition of nonprofits and academics, examines 352 million greenhouse gas sources, showcasing a substantial increase from its initial analysis of 72,000 sources two years ago. Al Gore envisions Climate Trace becoming an integral part of the U.N. process, emphasizing its significance in addressing humanity's top priorities.
Climate Trace's methodology combines satellite data with AI models to estimate emissions from various sources, including energy plants, transportation, agriculture, and industrial activities. The organization's approach aims to provide a comprehensive and centralized estimate of emissions across diverse human activities.
Key components of Climate Trace's methodology include:
-
Energy Plant Monitoring: Utilizing satellite data to identify the operational status of power plants and estimate emissions from their activities.
-
Oil Climate Index Plus Gas Model: Developed by Deborah Gordon and her colleagues, this model incorporates granular statistics from drilling sites to estimate energy consumption and CO2 emissions associated with oil and gas extraction.
-
AI in Agriculture: AI models are trained to recognize cattle farms and rice paddies in satellite images, enabling a quick assessment of their global extent and associated methane emissions. Additionally, AI is employed to estimate fertilizer use based on satellite imagery of crop yields.
-
Transportation Emission Estimation: AI developed at Johns Hopkins University Applied Physics Laboratory analyzes infrastructure visible in satellite images to estimate emissions from transportation, including roadways and vehicle emissions.
Climate Trace operates on a budget of $12 million, funded by personal donations from Al Gore and Generation Investment Management. The organization, committed to transparency, subjects its methods to peer review and aims to provide a valuable reality check on global emissions. As developing countries gear up to submit their emissions inventories, Climate Trace is in discussions with the U.N. to offer its estimates for free, recognizing the challenges some nations face in conducting such assessments independently.
While Climate Trace's approach offers a unique and comprehensive perspective on emissions, it may face opposition and skepticism from governments and industries accustomed to traditional reporting methodologies. As the organization continues to expand its scope, the accuracy and reliability of its claims will likely draw increased scrutiny and debate.
More: https://www.science.org/content/article/al-gore-s-climate-watchdog-spots-rogue-emissions
