Title: Event Attribution of Climate Changes with Dynamically driven-Stochastic Weather Generators
Please download:
- dossier DATA
- dossier function
- file RUN_code.R
Then, run RUN_code.R.
We use tmean as example (see slp_SD_diagnosis),
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to select the predictors (e.g., using the dynamical system on sea level pressure over the Northern Atlantic)
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to estimate the parameters for mean and sd conditional to the dynamical system
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to simulate the mean and sd conditional to the dynamical system
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to generate the simulations by using the simulated mean and sd
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to repeat step 2-4 to generate the simualtions of non-conditional model
We comapre the conditional model to the non-conditional model
You shall download conditional_SWG_temperature.R to run this part.
- FAR
- Changes of intensity
- Anomaly maps You shall download slp_anomaly_1999_2017.RData for anomaly maps.
| Name | Domain |
|---|---|
| Northern Atlantic | [22N, 71N]x[81W, 51E] |
| Northern Atlantic (small) | [30N, 71N]x[30W, 51E] |
| Europe | [35N, 60N]x[10W, 25E] |
| Paris (region) | [48N, 50N]x[01E, 04E] |
| Madrid (region) | [39N, 41N]x[02W, 05W] |
| Stockholm (region) | [58N, 60N]x[16E, 19E] |