Topic: Climate science, uncertainty and risk

Guest post: How to assess regional climate information for adaptation planning

The authors of this post discuss their recent paper which assesses the quality of state-of-the-art regional climate information intended to support climate adaptation decision-making. This is set against a backdrop of extreme weather events in the northern-hemisphere during the summer of 2021. Carbon Brief, 21 September 2021

Assessing the quality of state-of-the-art regional climate information: the case of the UK Climate Projections 2018

In this paper, we assess the quality of state-of-the-art regional climate information intended to support climate adaptation decision-making. We use the UK Climate Projections 2018 as an example of such information. Their probabilistic, global, and regional land projections exemplify some of the key methodologies that are at the forefront of constructing regional climate information for […]

Toward a sociology of climate risk

Hosted by Rebecca Elliott, Department of Sociology and the Grantham Research Institute on Climate Change and the Environment at LSE…

Social discounting and the equity premium

This paper assembles a picture of the evolving research on and understanding of the equity premium and the issues it covers reinforce other arguments for discounting over time at a social time preference rate in climate change analysis.

Social discounting and the cost of public funding in practice

This paper is a contribution to the understanding and development of social discounting regimes. It addresses three implications of how public funding differs from private financing by debt and equity, then examines US Federal and United Kingdom central government conventions, and also illustrates the difficulties of establishing and maintaining analytically rigorous social discounting procedures in practice.

Assessing the Quality of Regional Climate Information

Abstract There are now a plethora of data, models, and approaches available to produce regional and local climate information intended to inform adaptation to a changing climate. There is, however, no framework to assess the quality of these data, models, and approaches that takes into account the issues that arise when this information is produced. […]