A Bayesian statistical method to estimate the climatology of extreme temperature under multiple scenarios: the ANKIALE package
Published in Egusphere, 2025
Recommended citation: Robin, Y., Vrac, M., Ribes, A., Barbaux, O., and Naveau, P.: A Bayesian statistical method to estimate the climatology of extreme temperature under multiple scenarios: the ANKIALE package, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-1121, 2025. https://egusphere.copernicus.org/preprints/2025/egusphere-2025-1121/
This paper builds upon the technical developments presented in my thesis, including the use of MCMC chains, to propose a method and associated Python package for estimating the statistics of extreme temperatures in a Bayesian framework.
Recommended citation: Robin, Y., Vrac, M., Ribes, A., Barbaux, O., and Naveau, P.: A Bayesian statistical method to estimate the climatology of extreme temperature under multiple scenarios: the ANKIALE package, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-1121, 2025.