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Article . 2022 . Peer-reviewed
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Other literature type . 2022
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Measure emissions to manage emissions

Authors: Al, Gore;

Measure emissions to manage emissions

Abstract

In the 30 years since the world began negotiating the reduction of greenhouse gas (GHG) emissions, no one has identified exactly where all that pollution is coming from. That will begin to change next week when Climate TRACE (Tracking Real-Time Atmospheric Carbon Emissions)—a nonprofit coalition of artificial intelligence (AI) specialists, data scientists, researchers, and nongovernmental organizations—releases the first facility-level inventory of the largest known individual sources of the 162 million tons of GHG pollution emitted into the troposphere every day. With thousands of businesses, banks, investors, and 88 nation-states committed to reducing emissions to net zero by 2050, comprehensively tracking progress toward that goal is essential. This is especially important given last week’s United Nations Emissions Gap Report indicating that the world is far behind pace for reducing emissions by 2030.

Keywords

Greenhouse Effect, Greenhouse Gases, Artificial Intelligence, Climate Change

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
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