This paper represents a state-of-the-art review of tipping points in the physical climate system. It should be of great value and use to inform the community about the current status of research on tipping points and global climate change.

This study challenges the conventional wisdom that the commitment to an Earth System tipping point occurs as soon as a critical threshold is crossed. The authors show that the number of elements that would undergo tipping is severely reduced if the duration of exceedance of the Paris Agreement 1.5 °C threshold can be kept below a century. Furthermore, the analysis suggests that all tipping elements would be avoided if global warming over 1.5 °C is restricted to 30 years and peak warming is kept below 2.5 °C. Consequently, the duration of exceedance of tipping thresholds matters.

This paper presents an important perspective on the technosphere as an intertwined component of the human-Earth system in the Anthropocene.

Artificial Intelligence (AI) is often criticised for being a "black-box" approach that provides no physical insights into the data being analysed. Very recently, a new branch of AI has emerged, called “AI-led equation discovery”. As the name suggests, it aims to reveal process equations underlying the data. This Perspective Article offers a path to align AI methods with climate research, with a focus on the use of AI-led equation discovery in support of Earth System Models.

Climate models are some of our best tools for understanding future changes, especially how likely it is that we accomplish the goal of the Paris Agreement to keep warming to well below 2.0°C. Recent updates to radiative forcing estimates from greenhouse gases and tropospheric aerosols result in an increase in projected warming, substantially reducing the likelihood that we will meet the goals of the Paris Agreement.