Despite efforts to accurately quantify the effective radiative forcing (ERF) of anthropogenic aerosol, the historical evolution of ERF remains uncertain. As a further step toward a better understanding of ERF uncertainty, the present study systematically investigates the sensitivity of the shortwave ERF at the top of the atmosphere to model-internal variability and spatial distributions of the monthly mean radiative effects of anthropogenic aerosol. For this, ensembles are generated with the atmospheric model ECHAM6.3 that uses monthly prescribed optical properties and changes in cloud-droplet number concentrations designed to mimic that associated with the anthropogenic aerosol using the new parameterization MACv2-SP. The results foremost ...
The largest uncertainty in the historical radiative forcing of climate is caused by the interaction ...
We present the first forcing interpretation of the future anthropogenic aerosol scenarios of CMIP6 w...
International audienceWe quantify the effective radiative forcing (ERF) of anthropogenic aerosols mo...
Despite efforts to accurately quantify the effective radiative forcing (ERF) of anthropogenic aeroso...
This study assesses the change in anthropogenic aerosol forcing from the mid-1970s to the mid-2000s....
This study assesses the change in anthropogenic aerosol forcing from the mid-1970s to the mid-2000s....
The radiative forcing of anthropogenic aerosol remains a key uncertainty in the understanding of cli...
This study assesses the change in anthropogenic aerosol forcing from the mid-1970s to the mid-2000s....
The Radiative Forcing Model Intercomparison Project (RFMIP) allows estimates of effective radiative ...
Nine different global models with detailed aerosol modules have independently produced instantaneous...
International audienceNine different global models with detailed aerosol modules have independently ...
In its fifth assessment report (AR5), the Intergovernmental Panel on Climate Change provides a best ...
A large number of processes are involved in the chain from emissions of aerosol precursor gases and ...
The largest uncertainty in the historical radiative forcing of climate is caused by the interaction ...
We present the first forcing interpretation of the future anthropogenic aerosol scenarios of CMIP6 w...
International audienceWe quantify the effective radiative forcing (ERF) of anthropogenic aerosols mo...
Despite efforts to accurately quantify the effective radiative forcing (ERF) of anthropogenic aeroso...
This study assesses the change in anthropogenic aerosol forcing from the mid-1970s to the mid-2000s....
This study assesses the change in anthropogenic aerosol forcing from the mid-1970s to the mid-2000s....
The radiative forcing of anthropogenic aerosol remains a key uncertainty in the understanding of cli...
This study assesses the change in anthropogenic aerosol forcing from the mid-1970s to the mid-2000s....
The Radiative Forcing Model Intercomparison Project (RFMIP) allows estimates of effective radiative ...
Nine different global models with detailed aerosol modules have independently produced instantaneous...
International audienceNine different global models with detailed aerosol modules have independently ...
In its fifth assessment report (AR5), the Intergovernmental Panel on Climate Change provides a best ...
A large number of processes are involved in the chain from emissions of aerosol precursor gases and ...
The largest uncertainty in the historical radiative forcing of climate is caused by the interaction ...
We present the first forcing interpretation of the future anthropogenic aerosol scenarios of CMIP6 w...
International audienceWe quantify the effective radiative forcing (ERF) of anthropogenic aerosols mo...