et al. Initialized near-term regional climate change prediction. Nat. Commun. 4, 1715 (2013).This paper provides a thorough evaluation of initialized decadal predictions skill, based on multi-model hindcasts, performed every five years between 1960 and 2005. It finds that globally, most of the...
In this way, a single map yields information of all three categories of the probability distribution function. The somewhat rarer prediction of a change in the near-normal category is understood to occur at the equal expense of both extreme categories. Sign in to download full-size image Figure...
Climate change and economic inequality are critical issues, and we still lack understanding of the interaction between them. Multi-model analysis shows how climate policies compatible with the goals of the Paris Agreement, including revenue-redistribution schemes, can reduce inequality—particularly in the...
A roughness map covering Denmark is aggregated (ie area-average non-linearly) by a microscale aggregation model that takes the non-linear turbulent responses of each roughness step change between patches in an arbitrary patterninto account. The effective roughnesses are calculated into a 15 km by ...
Space-time prediction of rainfall-induced shallow landslides through Artificial Neural Networks in comparison with the SLIP model. Engineering Geology, 2025, 344: 107822. DOI:10.1016/j.enggeo.2024.107822 3. Wu, C.. Assessment of Possible Landslide Susceptibility Under Climate Change: A Case in ...
Scenarios can be used to represent diverse pathways exceeding those accessible through conventional prediction, facilitating understanding of the consequences of change. Presenting a range of scenarios (including extremes) is also a strategy to deal with uncertainty in predictions (see ‘Uncertainty’). ...
Climate Change Scam,Fossil Fuels,gas,unreliables|1 Comment Fossil-fuels to the rescue, again! Industrial UNreliables (wind/solar). What-a-farce. JS The story here refers to Britain’s ‘gas addiction’, but a renewables addiction will be far more problematic. At present gas power stations ...
Some experts have concerns about how resource-intensive artificial intelligence is impacting the environment. They also say AI has the potential to be a powerful tool to fight climate change, if used correctly.
(2) when global mean temperatures are 4 °C above pre-industrial values. The climate change scenarios were derived from 23 CMIP5 global climate models and downscaled using a pattern-scaling approach described in Qin et al. 202041. The ‘micro_terra’ function of NicheMapR then ...
Internet image search outputs propagate climate change sentiment and impact policy support The influence of internet search algorithms on users’ beliefs and behaviours remains understudied. This study finds that nationwide climate concern predicted the emotional content of Google Image Search outputs, which...