Rapid Arctic environmental change affects the entire Earth system as thawing permafrost ecosystems release greenhouse gases to the atmosphere. Understanding how much …
Progress in machine learning (ML) comes with a cost to the environment, given that training ML models requires computational resources, energy and materials. In the present article …
D Welsby, J Price, S Pye, P Ekins - Nature, 2021 - nature.com
Abstract Parties to the 2015 Paris Agreement pledged to limit global warming to well below 2° C and to pursue efforts to limit the temperature increase to 1.5° C relative to pre-industrial …
This paper investigates the connectedness among the climate change index, green financial assets, renewable energy markets, and geopolitical risk index from June 1, 2012 to June 13 …
The rapid progress in the global population and technical advances have resulted in exponential growth in the use of fossil fuels. These are not only limited in resources but also …
Reducing CO 2 emissions from the construction industry is the most imperative factor in the fight against climate change, which aims to reduce the average atmosphere temperature …
Recent evidence shows that carbon emissions in China are likely to peak ahead of 2030. However, the social and economic impacts of such an early carbon peak have rarely been …
C Arndt, AN Hristov, WJ Price… - Proceedings of the …, 2022 - National Acad Sciences
To meet the 1.5° C target, methane (CH4) from ruminants must be reduced by 11 to 30% by 2030 and 24 to 47% by 2050 compared to 2010 levels. A meta-analysis identified strategies …
The advent of cloud computing has provided people around the world with unprecedented access to computational power and enabled rapid growth in technologies such as machine …