Articles 2020

Les systèmes d’intelligence artificielle générative, qui parlent si bien, ne comprennent pas encore le monde. De nouvelles méthodes physiques ou statistiques comme les world models, ou « modèles de monde », permettraient de les doter d’une forme de sens commun, qui leur servirait à mieux simuler la réalité et de mieux interagir avec elle.

Scenarios serve as a critical tool in climate change analysis, enabling the exploration of future evolution of the climate system, climate impacts, and the human system (including mitigation and adaptation actions). This paper describes the scenario framework for ScenarioMIP as part of CMIP7. The design process has involved various rounds of interaction with the research community and user groups at large. The proposal covers a set of scenarios exploring high levels of climate change (to explore high-end climate risks), medium levels of climate change (anchored to current policy), and low levels of climate change (aligned with current international agreements). These scenarios follow very different trajectories in terms of emissions, with some likely to experience peaks and subsequent declines in greenhouse gas concentrations in this century. An important innovation is that most scenarios are intended to be run, if possible, in emission-driven mode, providing a better representation of the Earth system uncert

States and financial bodies using modelling that ignores shocks from extreme weather and climate tipping points

Climate models that give a low warming from increases in greenhouse gases do not match satellite measurements. Future warming will likely be worse than thought unless society acts, according to a new study published in Science.

Real world measurements of how much extra heat the Earth is trapping are well beyond most climate models. That’s a real problem.

Global warming is moving faster than the best models can keep a handle on.

EPFL scientists developed a tool to evaluate climate models, revealing that some predict a much hotter future due to high carbon sensitivity, suggesting current emission reduction efforts may be inadequate.

A major reason for the growth in the use of renewable energy is the fact that if a person looks at them narrowly enough--such as by using a model--wind and solar look to be useful. They don't burn fossil fuels, so it appears that they might be helpful to the environment. Energy modeling misses important points. I believe that profitability signals are much more important.