10.18710/IHUVTB
Hege-Beate Fredriksen0000-0002-3598-4076(UiT The Arctic University of Norway)
Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response
DataverseNO
2020
doi:10.18710/IHUVTB/SI7LHNdoi:10.18710/IHUVTB/JXTENYdoi:10.18710/IHUVTB/DOAZWRdoi:10.18710/IHUVTB/C1BBK0doi:10.18710/IHUVTB/KACCFLdoi:10.18710/IHUVTB/WBFOUQdoi:10.18710/IHUVTB/S3DVJLdoi:10.18710/IHUVTB/5MMSFNdoi:10.18710/IHUVTB/JPLISKdoi:10.18710/IHUVTB/DGDWRBdoi:10.18710/IHUVTB/CJVIG9doi:10.18710/IHUVTB/OVRJ9F
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. 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
Hege-Beate Fredriksen(UiT The Arctic University of Norway)UiT The Arctic University of Norway