Effective radiative forcing (ERF) experiments with EC-Earth3
# Effective radiative forcing (ERF) experiments with EC-Earth3 Contact: klaus.wyser@smhi.se Date: 2020-10-19 The tarball contains the datasets that have been used to assess the ERF of the modified MACv2-SP forcing that has been prepared for the CovidMIP experiments. All experiments were done with th...
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ftdatacite:10.5281/zenodo.4106257 2023-05-15T18:19:00+02:00 Effective radiative forcing (ERF) experiments with EC-Earth3 Wyser, Klaus 2020 https://dx.doi.org/10.5281/zenodo.4106257 https://zenodo.org/record/4106257 unknown Zenodo https://dx.doi.org/10.5281/zenodo.4106258 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY CovidMIP EC-Earth3 MACv2-SP dataset Dataset 2020 ftdatacite https://doi.org/10.5281/zenodo.4106257 https://doi.org/10.5281/zenodo.4106258 2021-11-05T12:55:41Z # Effective radiative forcing (ERF) experiments with EC-Earth3 Contact: klaus.wyser@smhi.se Date: 2020-10-19 The tarball contains the datasets that have been used to assess the ERF of the modified MACv2-SP forcing that has been prepared for the CovidMIP experiments. All experiments were done with the EC-Earth3 model (https://portal.enes.org/models/earthsystem-models/ec-earth/ec-earth) that includes the MACv2-SP aerosol forcing including the effects on the cloud droplet activation. Following the CFMIP protocol the ERF is obtained by running the model in atmosphere-only mode with prescribed SST and sea-ice from the piControl simulation. Two experiments are needed to assess the ERF: a control experiment (mctl) in which the all forcings are kept constant at the pre-industrial level, and a sensitivity experiment in which only the MACv2-SP forcing is taken from a different scenario from a specific year. Both control and sensitivty experiment are then run for 55 years. The following MACv2-SP forcings were used in the different experiments: - **mctl**: all forcings as in the piControl experiment - **mba2**: forcing for year 2020 from the new ssp245 baseline dataset - **mba5**: forcing for year 2050 from the new ssp245 baseline dataset - **mbl2**: forcing for year 2020 from the TwoYearBlip dataset - **msg5**: forcing for year 2050 from the StrongGreen recovery dataset - **mmg5**: forcing for year 2050 from the ModerateGreen recovery dataset - **mff5**: forcing for year 2050 from the FossilFuel rebound dataset The following variables from the model output are included in the dataset: - **tsr**: Top of the atmosphere (TOA) SW radiation (all sky) - **tsrc**: TOA SW radiation (clear sky) - **tsra**: TOA SW radiation (cloudy sky) - **ttr**: TOA LW radiation (all sky) - **ttrc**: TOA LW radiation (clear sky) - **ttra**: TOA LW radiation (cloudy sky) - **ssr**: Surface SW radiation (all sky) - **ssrc**: Surface SW radiation (clear sky) - **ssra**: Surface SW radiation (cloudy sky) - **str**: Surface LW radiation (all sky) - **strc**: Surface LW radiation (clear sky) - **stra**: Surface LW radiation (cloudy sky) These variables have been used to compute timeseries and maps of the different components of the ERF: - **erf**: ERF at TOA (all sky) - **erfc**: ERF at TOA (clear sky) - **erfa**: ERF at TOA (cloudy sky) - **erfsfc**: ERF at SFC (all sky) - **erfsfcc**: ERF at SFC (clear sky) - **erfsfca**: ERF at SFC (cloudy sky) The script **stats.sh** has been used to compute the ERF. Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
CovidMIP EC-Earth3 MACv2-SP |
spellingShingle |
CovidMIP EC-Earth3 MACv2-SP Wyser, Klaus Effective radiative forcing (ERF) experiments with EC-Earth3 |
topic_facet |
CovidMIP EC-Earth3 MACv2-SP |
description |
# Effective radiative forcing (ERF) experiments with EC-Earth3 Contact: klaus.wyser@smhi.se Date: 2020-10-19 The tarball contains the datasets that have been used to assess the ERF of the modified MACv2-SP forcing that has been prepared for the CovidMIP experiments. All experiments were done with the EC-Earth3 model (https://portal.enes.org/models/earthsystem-models/ec-earth/ec-earth) that includes the MACv2-SP aerosol forcing including the effects on the cloud droplet activation. Following the CFMIP protocol the ERF is obtained by running the model in atmosphere-only mode with prescribed SST and sea-ice from the piControl simulation. Two experiments are needed to assess the ERF: a control experiment (mctl) in which the all forcings are kept constant at the pre-industrial level, and a sensitivity experiment in which only the MACv2-SP forcing is taken from a different scenario from a specific year. Both control and sensitivty experiment are then run for 55 years. The following MACv2-SP forcings were used in the different experiments: - **mctl**: all forcings as in the piControl experiment - **mba2**: forcing for year 2020 from the new ssp245 baseline dataset - **mba5**: forcing for year 2050 from the new ssp245 baseline dataset - **mbl2**: forcing for year 2020 from the TwoYearBlip dataset - **msg5**: forcing for year 2050 from the StrongGreen recovery dataset - **mmg5**: forcing for year 2050 from the ModerateGreen recovery dataset - **mff5**: forcing for year 2050 from the FossilFuel rebound dataset The following variables from the model output are included in the dataset: - **tsr**: Top of the atmosphere (TOA) SW radiation (all sky) - **tsrc**: TOA SW radiation (clear sky) - **tsra**: TOA SW radiation (cloudy sky) - **ttr**: TOA LW radiation (all sky) - **ttrc**: TOA LW radiation (clear sky) - **ttra**: TOA LW radiation (cloudy sky) - **ssr**: Surface SW radiation (all sky) - **ssrc**: Surface SW radiation (clear sky) - **ssra**: Surface SW radiation (cloudy sky) - **str**: Surface LW radiation (all sky) - **strc**: Surface LW radiation (clear sky) - **stra**: Surface LW radiation (cloudy sky) These variables have been used to compute timeseries and maps of the different components of the ERF: - **erf**: ERF at TOA (all sky) - **erfc**: ERF at TOA (clear sky) - **erfa**: ERF at TOA (cloudy sky) - **erfsfc**: ERF at SFC (all sky) - **erfsfcc**: ERF at SFC (clear sky) - **erfsfca**: ERF at SFC (cloudy sky) The script **stats.sh** has been used to compute the ERF. |
format |
Dataset |
author |
Wyser, Klaus |
author_facet |
Wyser, Klaus |
author_sort |
Wyser, Klaus |
title |
Effective radiative forcing (ERF) experiments with EC-Earth3 |
title_short |
Effective radiative forcing (ERF) experiments with EC-Earth3 |
title_full |
Effective radiative forcing (ERF) experiments with EC-Earth3 |
title_fullStr |
Effective radiative forcing (ERF) experiments with EC-Earth3 |
title_full_unstemmed |
Effective radiative forcing (ERF) experiments with EC-Earth3 |
title_sort |
effective radiative forcing (erf) experiments with ec-earth3 |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://dx.doi.org/10.5281/zenodo.4106257 https://zenodo.org/record/4106257 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.5281/zenodo.4106258 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5281/zenodo.4106257 https://doi.org/10.5281/zenodo.4106258 |
_version_ |
1766195808536887296 |