[HTML][HTML] Impacts of climate change on the fate of contaminants through extreme weather events

S Bolan, LP Padhye, T Jasemizad… - Science of The Total …, 2024 - Elsevier
The direct impacts of climate change involve a multitude of phenomena, including rising sea
levels, intensified severe weather events such as droughts and flooding, increased …

An assessment of Earth's climate sensitivity using multiple lines of evidence

SC Sherwood, MJ Webb, JD Annan… - Reviews of …, 2020 - Wiley Online Library
We assess evidence relevant to Earth's equilibrium climate sensitivity per doubling of
atmospheric CO2, characterized by an effective sensitivity S. This evidence includes …

Framing, Context, and Methods (Chapter 1)

D Chen, M Rojas, BH Samset, K Cobb… - 2021 - pure.iiasa.ac.at
Working Group I (WGI) of the Intergovernmental Panel on Climate Change (IPCC) assesses
the current evidence on the physical science of climate change, evaluating knowledge …

Poleward expansion of tropical cyclone latitudes in warming climates

J Studholme, AV Fedorov, SK Gulev, K Emanuel… - Nature …, 2022 - nature.com
Tropical cyclones (TCs, also known as hurricanes and typhoons) generally form at low
latitudes with access to the warm waters of the tropical oceans, but far enough off the …

[HTML][HTML] DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains

B Stevens, M Satoh, L Auger, J Biercamp… - Progress in Earth and …, 2019 - Springer
A review of the experimental protocol and motivation for DYAMOND, the first
intercomparison project of global storm-resolving models, is presented. Nine models …

Deep learning to represent subgrid processes in climate models

S Rasp, MS Pritchard, P Gentine - Proceedings of the national academy of …, 2018 - pnas.org
The representation of nonlinear subgrid processes, especially clouds, has been a major
source of uncertainty in climate models for decades. Cloud-resolving models better …

Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

V Eyring, S Bony, GA Meehl, CA Senior… - Geoscientific Model …, 2016 - gmd.copernicus.org
By coordinating the design and distribution of global climate model simulations of the past,
current, and future climate, the Coupled Model Intercomparison Project (CMIP) has become …

Deep learning-based weather prediction: a survey

X Ren, X Li, K Ren, J Song, Z Xu, K Deng, X Wang - Big Data Research, 2021 - Elsevier
Weather forecasting plays a fundamental role in the early warning of weather impacts on
various aspects of human livelihood. For instance, weather forecasting provides decision …

Could machine learning break the convection parameterization deadlock?

P Gentine, M Pritchard, S Rasp… - Geophysical …, 2018 - Wiley Online Library
Representing unresolved moist convection in coarse‐scale climate models remains one of
the main bottlenecks of current climate simulations. Many of the biases present with …

Attribution of extreme weather and climate‐related events

PA Stott, N Christidis, FEL Otto, Y Sun… - Wiley …, 2016 - Wiley Online Library
Extreme weather and climate‐related events occur in a particular place, by definition,
infrequently. It is therefore challenging to detect systematic changes in their occurrence …