Take urgent action to combat climate change and its impacts

To understand how best to help patients and improve health during an epidemic it is necessary to have good modelling techniques and protocols.
World Intellectual Property Day title with lightbulb image and SDG icons

World Intellectual Property Day, observed each year on 26th April, is an opportunity to celebrate the contributions made by inventors and creators around the world and to explore how IP contributes

The authors evaluate shifts in water reservoirs (i.e. atmospheric versus terrestrial and underground water storage). Projections indicate water storage deficits in most Southern Hemisphere basins during the summer.
Elsevier,

iScience, Volume 26, Issue 1, 20 January 2023, 105803

In this paper the authors show how the heterogeneity in cities means that individual cities need specific low-carbon roadmaps, rather than a one-size-fits-all approach
Human health, in the coming decades (and already in some “front-running” regions), is in peril. Although some authorities warn that over-stating such risks can induce paralysis and despair, under-stating them will not generate the intense action that is required. The impact of climate change on the Earth system is now so significant that the next ice age will likely be delayed by at least 50,000 years [201]. If humans do not rapidly change their collective behavior, then this may be their most enduring legacy. It is hoped that this chapter makes a small contribution to SDG3.
Elsevier,

Energy and Climate Change, Volume 4, December 2023

The importance of an updating of fundamental energy law to achieve net zero carbon emissions by 2050 in the energy sector.
This Article supports SDG13 as it shows that not only short-term exposures to ambient ozone concentrations have health consequences but also long-term exposures.
This Personal View supports SDGs 3 and 13 by calling for more research into the contribution that physical activity can have in adapting to rising global temperatures and, more broadly, to climate change.
The paper presented a comprehensive analysis of the research/publications landscape on the application of Machine Learning in Climate Change Research based on data.
This study focused on the HJRB, the location of the world's largest inter-basin water transfer project, as the study area.

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