@article{fdi:010060736,
  title = {{N}on-stationary frequency analysis of heavy rainfall events in southern {F}rance},
  author = {{T}ramblay, {Y}ves and {N}eppel, {L}. and {C}arreau, {J}ulie and {N}ajib, {K}.},
  editor = {},
  language = {{ENG}},
  abstract = {{H}eavy rainfall events often occur in southern {F}rench {M}editerranean regions during the autumn, leading to catastrophic flood events. {A} non-stationary peaks-over-threshold ({POT}) model with climatic covariates for these heavy rainfall events is developed herein. {A} regional sample of events exceeding the threshold of 100 mm/d is built using daily precipitation data recorded at 44 stations over the period 19582008. {T}he {POT} model combines a {P}oisson distribution for the occurrence and a generalized {P}areto distribution for the magnitude of the heavy rainfall events. {T}he selected covariates are the seasonal occurrence of southern circulation patterns for the {P}oisson distribution parameter, and monthly air temperature for the generalized {P}areto distribution scale parameter. {A}ccording to the deviance test, the non-stationary model provides a better fit to the data than a classical stationary model. {S}uch a model incorporating climatic covariates instead of time allows one to re-evaluate the risk of extreme precipitation on a monthly and seasonal basis, and can also be used with climate model outputs to produce future scenarios. {E}xisting scenarios of the future changes projected for the covariates included in the model are tested to evaluate the possible future changes on extreme precipitation quantiles in the study area.},
  keywords = {stationarity ; heavy rainfall ; frequency analysis ; {M}editerranean ; {POT} ; {FRANCE}},
  booktitle = {},
  journal = {{H}ydrological {S}ciences {J}ournal = {J}ournal des {S}ciences {H}ydrologiques},
  volume = {58},
  numero = {2},
  pages = {280--294},
  ISSN = {0262-6667},
  year = {2013},
  DOI = {10.1080/02626667.2012.754988},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060736},
}