Model output used in the manuscript "Micro and macro parametric uncertainty in climate change prediction: a large ensemble perspective"
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/13200873
下载链接
链接失效反馈官方服务:
资源简介:
This *.zip file contains the model output from ensemble simulations for the Lorenz 84-Stommel 61 model (hereafter L84-S61; Van Veen et al, 2001; Daron and Stainforth, 2013). To run these simulations, we used the E-forth ensemble generator (de Melo Viríssimo and Stainforth, in preparation), which is a MATLAB toolboox that allows for large ensembles of low-dimensional dynamical systems to be run and studied in a systematic way (de Melo Viríssimo and Stainforth, 2023).
These model outputs are presented and discussed in the Preprint "Micro and macro parametric uncertainty in climate change prediction: a large ensemble perspective". The manuscript describes the experiments performed, the parameter values used and the modifications done to the original L84-S61 model. For this matter, we also refer you to Daron and Stainforth (2013) and de Melo Viríssimo et al. (2024).
All files uploaded were generated from simulations run by the lead author.
For specific information about each file uploaded, please refer to the README file. The details of each experiment are also presented in the supplementary materials of the preprint above. If you have any questions, please feel free to contact me.
References:
Van Veen et al. (2001): https://onlinelibrary.wiley.com/doi/abs/10.1034/j.1600-0870.2001.00241.x
Daron and Stainforth (2013): https://dx.doi.org/10.1088/1748-9326/8/3/034021
de Melo Viríssimo and Stainforth (2023): https://doi.org/10.5194/egusphere-egu23-14755
de Melo Viríssimo et al. (2024): https://doi.org/10.1063/5.0180870
de Melo Viríssimo and Stainforth (in preparation): to appear
创建时间:
2024-08-03



