Diagnostics of atmospheric momentum and energy transport are needed to investigate the origin of circulation biases in climate models and to understand the atmospheric response to natural and anthropogenic forcing. Model biases in atmospheric dynamics are one of the factors that increase uncertainty in projections of regional climate, precipitation and extreme events. Here we define requirements for diagnosing the atmospheric circulation and variability across temporal scales and for evaluating the transport of mass, momentum and energy by dynamical processes in the context of the Coupled Model Intercomparison Project Phase 6 (CMIP6). These diagnostics target the assessments of both resolved and parameterized dynamical processes in climate ...
Abstract: The atmosphere is known to be forced by a variety of energy sources, including radiation a...
International audienceMajor sudden stratospheric warmings (SSWs), vortex formation, and final breakd...
ABSTRACT: Global Climate Models (GCMs) generally exhibit significant biases in the representation of...
Diagnostics of atmospheric momentum and energy transport are needed to investigate the origin of cir...
Goal of the MIP and a brief overview DynVar focuses on the interactions between atmospheric variabil...
Advances in weather and climate research have demonstrated the role of the stratosphere in the Earth...
International audienceWe describe the main differences in simulations of stratospheric climate and v...
Abstract. Atmosphere and ocean general circulation model (AOGCM) experiments for the Intergovernment...
The Brewer–Dobson circulation (BDC) is a key feature of the stratosphere that models need to accurat...
The Coupled Model Intercomparison Project (CMIP) is an ongoing coordinated international activity of...
Model simulations of the natural climate (without human-produced greenhouse gases and aerosols) can ...
Detection and attribution (D and A) simulations were important components of CMIP5 and underpinned t...
More than 40 model groups worldwide are participating in the Coupled Model Intercomparison Project P...
We describe the main differences in simulations of stratospheric climate and variability by models w...
Major sudden stratospheric warmings (SSWs), vortex formation and final breakdown dates are key highl...
Abstract: The atmosphere is known to be forced by a variety of energy sources, including radiation a...
International audienceMajor sudden stratospheric warmings (SSWs), vortex formation, and final breakd...
ABSTRACT: Global Climate Models (GCMs) generally exhibit significant biases in the representation of...
Diagnostics of atmospheric momentum and energy transport are needed to investigate the origin of cir...
Goal of the MIP and a brief overview DynVar focuses on the interactions between atmospheric variabil...
Advances in weather and climate research have demonstrated the role of the stratosphere in the Earth...
International audienceWe describe the main differences in simulations of stratospheric climate and v...
Abstract. Atmosphere and ocean general circulation model (AOGCM) experiments for the Intergovernment...
The Brewer–Dobson circulation (BDC) is a key feature of the stratosphere that models need to accurat...
The Coupled Model Intercomparison Project (CMIP) is an ongoing coordinated international activity of...
Model simulations of the natural climate (without human-produced greenhouse gases and aerosols) can ...
Detection and attribution (D and A) simulations were important components of CMIP5 and underpinned t...
More than 40 model groups worldwide are participating in the Coupled Model Intercomparison Project P...
We describe the main differences in simulations of stratospheric climate and variability by models w...
Major sudden stratospheric warmings (SSWs), vortex formation and final breakdown dates are key highl...
Abstract: The atmosphere is known to be forced by a variety of energy sources, including radiation a...
International audienceMajor sudden stratospheric warmings (SSWs), vortex formation, and final breakd...
ABSTRACT: Global Climate Models (GCMs) generally exhibit significant biases in the representation of...