Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear responsedoi:10.18710/IHUVTBDataverseNO2020-10-272Hege-Beate Fredriksen, 2020, "Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response", https://doi.org/10.18710/IHUVTB, DataverseNO, V2Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear responsedoi:10.18710/IHUVTBHege-Beate FredriksenUiT The Arctic University of NorwayPythonDataverseNOUiT The Arctic University of NorwayHege-Beate FredriksenFredriksen, Hege-Beate2020-10-23Earth and Environmental SciencesMathematical SciencesPhysicsRadiative forcingCMIP5Linear response<p>Radiative forcing estimates for CMIP5 models. Two different estimates are provided for each model for the 1%CO2 experiment and the historical and the four RCP experiments RCP2.6, RCP4.5, RCP6.0 and RCP8.5 for the time period 1850 - 2100. Forcing estimates referred to as the F13 method were first published by Forster et al. (2013). The other forcing estimates are based on the new algorithm described in the related paper, which is a further development of the F13 method to also allow for nonconstant feedback parameters. The new method results in stronger forcing estimates for the 21st century scenarios.</p> <p>Forster, P. M., Andrews, T., Good, P., Gregory, J. M., Jackson, L. S., & Zelinka, M. (2013). Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models. Journal of Geophysical Research, 118, 1139–1150. https://doi.org/10.1002/jgrd.50174 </p>18502100Global means1801809090machine-readable data<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>The raw data are available at https://esgf-node.llnl.gov/projects/cmip5/Fredriksen, H.-B., Rugenstein, M., & Graversen, R. (2021). Estimating radiative forcing with a nonconstant feedback parameter and linear response. Journal of Geophysical Research: Atmospheres, 126, e2020JD034145. https://doi.org/10.1029/2020JD03414510.1029/2020JD034145Fredriksen, H.-B., Rugenstein, M., & Graversen, R. (2021). Estimating radiative forcing with a nonconstant feedback parameter and linear response. Journal of Geophysical Research: Atmospheres, 126, e2020JD034145. https://doi.org/10.1029/2020JD03414500_readme.txttext/plainforcing_estimates_1pctCO2.txtForcing estimates for the 1%CO2 experimenttext/plainforcing_F13method_1pctCO2.txtForcing estimates for the 1%CO2 experiment based on the F13 methodtext/plainhistorical_and_rcp26_forcing_estimates.txtForcing estimates for the historical + RCP2.6 experimentstext/plainhistorical_and_rcp26_forcing_F13method.txtForcing estimates for the historical + RCP2.6 experiments based on the F13 methodtext/plainhistorical_and_rcp45_forcing_estimates.txtForcing estimates for the historical + RCP4.5 experimentstext/plainhistorical_and_rcp45_forcing_F13method.txtForcing estimates for the historical + RCP4.5 experiments based on the F13 methodtext/plainhistorical_and_rcp60_forcing_estimates.txtForcing estimates for the historical + RCP6.0 experimentstext/plainhistorical_and_rcp60_forcing_F13method.txtForcing estimates for the historical + RCP6.0 experiments based on the F13 methodtext/plainhistorical_and_rcp85_forcing_estimates.txtForcing estimates for the historical + RCP8.5 experimentstext/plainhistorical_and_rcp85_forcing_F13method.txtForcing estimates for the historical + RCP8.5 experiments based on the F13 methodtext/plain