Earth System Models (ESM) are our main tool for projecting the impacts of climate change. However, running these models at sufficient resolution for local-scale risk-assessments is not computationally ...

Assessing how climate change will affect different regions usually requires running a complex chain of models. While this approach provides valuable insights, it is expensive and can cover only a ...

Soil moisture–atmosphere feedback (SAF) is expected to accelerate warming in the future, but its influences on the terrestrial water cycle over non-traditional hotspots of land–atmosphere coupling ...

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...

Climate scientists are confronting a hard truth: some of the most widely used models are struggling to keep up with the pace and texture of real‑world warming. The physics at their core remains sound, ...

Warming-induced emissions from permafrost, wetlands, and wildfires could add up to 0.7°F by 2100, and most climate models leave them out.

LFRic advances weather and climate modelling through supercomputing innovation, collaboration, and next-generation training programs.

Volcanic eruptions pose a fundamental challenge for scientists and their climate models. It is well known that explosive eruptions can cause sudden cooling at the Earth’s surface and that multiple ...

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...