Understanding natural and anthropogenic climate change processes involves using computational models that represent the main components of the Earth system: the atmosphere, ocean, sea-ice and land surface. These models have become increasingly computationally expensive as resolution is increased and more complex process representations are included. However, to gain robust insight into how climate may respond to a given forcing, and to meaningfully quantify the associated uncertainty, it is often required to use either or both of ensemble approaches and very long integrations. For this reason, more computationally efficient models can be very valuable tools. Here we provide a comprehensive overview of the suite of climate models based aroun...
Robust projections and predictions of climate variability and change, particularly at regional scale...
Weather and climate models are complex pieces of software which include many individual components, ...
This study undertakes a multi-model comparison with the aim to describe and quantify systematic chan...
A new climate model, HadGEM3 N96ORCA1, is presented that is part of the GC3.1 configuration of HadGE...
The UPSCALE (UK on PRACE: weather-resolving Simulations of Climate for globAL Environmental risk) pr...
Understanding natural and anthropogenic climate change processes involves using computational models...
Pre‐industrial control simulations with the HadGEM3‐GC3.1 climate model are presented at two resolut...
Understanding natural and anthropogenic climate change processes involves using computational model...
We compare future changes in global mean temperature in response to different future scenarios which...
The Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) aims to investigate the spread in sim...
To investigate the effects of the middle atmosphere on climate, the World Climate Research Programme...
Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and clim...
Well-resolved air–sea interactions are simulated in a new ocean mixed-layer, coupled configuration o...
Earth system models (ESMs) are increasing in complexity by incorporating more processes than their p...
The Global Coupled 3 (GC3) configuration of the Met Office Unified Model is presented. Amongst other...
Robust projections and predictions of climate variability and change, particularly at regional scale...
Weather and climate models are complex pieces of software which include many individual components, ...
This study undertakes a multi-model comparison with the aim to describe and quantify systematic chan...
A new climate model, HadGEM3 N96ORCA1, is presented that is part of the GC3.1 configuration of HadGE...
The UPSCALE (UK on PRACE: weather-resolving Simulations of Climate for globAL Environmental risk) pr...
Understanding natural and anthropogenic climate change processes involves using computational models...
Pre‐industrial control simulations with the HadGEM3‐GC3.1 climate model are presented at two resolut...
Understanding natural and anthropogenic climate change processes involves using computational model...
We compare future changes in global mean temperature in response to different future scenarios which...
The Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) aims to investigate the spread in sim...
To investigate the effects of the middle atmosphere on climate, the World Climate Research Programme...
Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and clim...
Well-resolved air–sea interactions are simulated in a new ocean mixed-layer, coupled configuration o...
Earth system models (ESMs) are increasing in complexity by incorporating more processes than their p...
The Global Coupled 3 (GC3) configuration of the Met Office Unified Model is presented. Amongst other...
Robust projections and predictions of climate variability and change, particularly at regional scale...
Weather and climate models are complex pieces of software which include many individual components, ...
This study undertakes a multi-model comparison with the aim to describe and quantify systematic chan...