Mike Hulme

TL;DR: In this article, a hierarchical impact model is developed that addresses uncertainty about future greenhouse gas emissions, the climate sensitivity, and limitations and unpredictability in general circulation models, which is used in Bayesian Monte-Carlo simulations to define posterior probability distributions for changes in seasonal-mean temperature and precipitation over the United Kingdom that are conditional on prior distributions for the model parameters.

TL;DR: In this article, an iconic approach to climate change is presented, tested in the UK context, which allows individuals to approach climate change through their own personal values and experiences, harnessing the emotive and visual power of climate icons with a rigorous scientific analysis of climate impacts under a different climate future.

TL;DR: In this article, a method for estimating the standard deviation and rainday frequency of grid-box mean daily precipitation time series from relatively few individual station time series is presented. But the method is limited in the number of stations used to construct the areal means and is shown to be biased if insufficient stations are available.

TL;DR: The role and design of global expert organizations such as the Intergovernmental Panel on Climate Change (IPCC) or the intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES) needs rethinking.

TL;DR: The origins of the idea that humans might be enhancing the natural greenhouse effect through emissions of carbon dioxide (and other greenhouse gases) stretch back into the nineteenth century (Tyndall 1863; Arrhenius 1896a 1896b), but it did not ‘fire the imagination of the scientific community’ until the 1970s (Kellogg 1987, 113) as discussed by the authors.