EC-Earth, a new Earth system model based on the operational seasonal forecast system of the European Centre for Medium-Range Weather Forecasts (ECMWF), is presented. The performance of version 2.2 (V2.2) of the model is compared to observations, reanalysis data and other coupled atmosphere–ocean-sea ice models. The largescale physical characteristics of the atmosphere, ocean and sea ice are well simulated. When compared to other coupled models with similar complexity, the model performs well in simulating tropospheric fields and dynamic variables, and performs less in simulating surface temperature and fluxes. The surface temperatures are too cold, with the exception of the Southern Ocean region and parts of the Northern Hemisphere extratro...
The second version of the coupled Norwegian Earth System Model (NorESM2) is presented and evaluated....
The ECHAM climate model has been developed from the ECMWF atmospheric model (therefore the f...
Resolution in climate models is thought to be an important factor for advancing seasonal prediction ...
EC-Earth, a new Earth system model based on the operational seasonal forecast system of the European...
The EC-Earth consortium is a grouping of meteorologists and Earth-system scientists from 10 European...
The EC-Earth consortium is a grouping of meteorologists and Earth-system scientists from 10 European...
EC-Earth is a new Earth System Model (ESM) based on the operational seasonal forecast system of the ...
Climate prediction at the subseasonal to interannual time range is now performed routinely and opera...
Abstract EC-Earth is a newly developed global climate system model. Its core components are the Inte...
The development of the third installment of the climate model EC-Earth is nearing its completion. Th...
The land-surface developments of the European Centre for Medium-range Weather Forecasts (ECMWF) are ...
Single-column models (SCMs) have been used as tools to help develop numerical weather prediction and...
Different practices are currently being used to couple the different components of global models for...
Single-column models (SCMs) have been used as tools to help develop numerical weather prediction and...
We describe here the development and evaluation of an Earth system model suitable for centennial-sca...
The second version of the coupled Norwegian Earth System Model (NorESM2) is presented and evaluated....
The ECHAM climate model has been developed from the ECMWF atmospheric model (therefore the f...
Resolution in climate models is thought to be an important factor for advancing seasonal prediction ...
EC-Earth, a new Earth system model based on the operational seasonal forecast system of the European...
The EC-Earth consortium is a grouping of meteorologists and Earth-system scientists from 10 European...
The EC-Earth consortium is a grouping of meteorologists and Earth-system scientists from 10 European...
EC-Earth is a new Earth System Model (ESM) based on the operational seasonal forecast system of the ...
Climate prediction at the subseasonal to interannual time range is now performed routinely and opera...
Abstract EC-Earth is a newly developed global climate system model. Its core components are the Inte...
The development of the third installment of the climate model EC-Earth is nearing its completion. Th...
The land-surface developments of the European Centre for Medium-range Weather Forecasts (ECMWF) are ...
Single-column models (SCMs) have been used as tools to help develop numerical weather prediction and...
Different practices are currently being used to couple the different components of global models for...
Single-column models (SCMs) have been used as tools to help develop numerical weather prediction and...
We describe here the development and evaluation of an Earth system model suitable for centennial-sca...
The second version of the coupled Norwegian Earth System Model (NorESM2) is presented and evaluated....
The ECHAM climate model has been developed from the ECMWF atmospheric model (therefore the f...
Resolution in climate models is thought to be an important factor for advancing seasonal prediction ...