Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response

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

CMIP5模式的辐射强迫估算数据集。本数据集为每个模式提供两套不同的估算结果，覆盖1%CO₂试验、历史试验以及RCP2.6、RCP4.5、RCP6.0、RCP8.5共4个典型浓度路径（Representative Concentration Pathway，RCP）试验，时间跨度为1850年至2100年。其中一套被称为F13方法的强迫估算值最早由Forster等人于2013年发布；另一套强迫估算值则基于相关论文中提出的新算法，该算法是对F13方法的进一步改进，新增了对非恒定反馈参数的支持。新方法得到的21世纪情景下的强迫估算值更高。Forster, P. M., Andrews, T., Good, P., Gregory, J. M., Jackson, L. S., & Zelinka, M. (2013). 评估CMIP5世代气候模式中历史与未来情景的调整强迫及模式离散度. 《地球物理研究杂志》, 118, 1139–1150. https://doi.org/10.1002/jgrd.50174