Modelling Climate Changes with Stationary Models: Is It Possible or Is It a Paradox?

Climate is changing; many studies of time series confirm this sentence, but this does not imply that the past is no more representative of the future, and then that ‘‘stationarity is dead’’.

[1]  Paul S. P. Cowpertwait,et al.  Further developments of the neyman‐scott clustered point process for modeling rainfall , 1991 .

[2]  H. Fowler,et al.  The value of high-resolution Met Office regional climate models in the simulation of multi-hourly precipitation extremes , 2014 .

[3]  Francesco Serinaldi,et al.  Stationarity is undead: Uncertainty dominates the distribution of extremes , 2015 .

[4]  Francesco Napolitano,et al.  Parameter estimation of Neyman–Scott processes for temporal point rainfall simulation , 1999 .

[5]  Paul S. P. Cowpertwait,et al.  A Poisson-cluster model of rainfall: some high-order moments and extreme values , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[6]  Censored rainfall modelling for estimation of fine-scale extremes , 2017 .

[7]  T. Stocker,et al.  Climate Change 2013: The Physical Science Basis. An overview of the Working Group 1 contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). , 2013 .

[8]  Juan B. Valdés,et al.  Rectangular pulses point process models for rainfall: Analysis of empirical data , 1987 .

[9]  Renzo Rosso,et al.  Applied Statistics for Civil and Environmental Engineers , 2008 .

[10]  Valerie Isham,et al.  Some models for rainfall based on stochastic point processes , 1987, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[11]  Demetris Koutsoyiannis,et al.  Negligent killing of scientific concepts: the stationarity case , 2015 .

[12]  K. Trenberth Changes in precipitation with climate change , 2011 .

[13]  C. Schär,et al.  Heavy precipitation in a changing climate: Does short‐term summer precipitation increase faster? , 2015 .

[14]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[15]  D. D. De Luca,et al.  Stationary and Non-Stationary Frameworks for Extreme Rainfall Time Series in Southern Italy , 2018, Water.