@article{fdi:010053878,
  title = {{C}limatic covariates for the frequency analysis of heavy rainfall in the {M}editerranean region},
  author = {{T}ramblay, {Y}ves and {N}eppel, {L}. and {C}arreau, {J}ulie},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n {M}editerranean regions, climate studies indicate for the future a possible increase in the extreme rainfall events occurrence and intensity. {T}o evaluate the future changes in the extreme event distribution, there is a need to provide non-stationary models taking into account the non-stationarity of climate. {I}n this study, several climatic covariates are tested in a non-stationary peaks-over-threshold modeling approach for heavy rainfall events in {S}outhern {F}rance. {R}esults indicate that the introduction of climatic covariates could improve the statistical modeling of extreme events. {I}n the case study, the frequency of southern synoptic circulation patterns is found to improve the occurrence process of extreme events modeled via a {P}oisson distribution, whereas for the magnitude of the events, the air temperature and sea level pressure appear as valid covariates for the {G}eneralized {P}areto distribution scale parameter. {C}ovariates describing the humidity fluxes at monthly and seasonal time scales also provide significant model improvements for the occurrence and the magnitude of heavy rainfall events. {W}ith such models including climatic covariates, it becomes possible to asses the risk of extreme events given certain climatic conditions at monthly or seasonal timescales. {T}he future changes in the heavy rainfall distribution can also be evaluated using covariates computed by climate models.},
  keywords = {},
  booktitle = {},
  journal = {{N}atural {H}azards and {E}arth {S}ystem {S}ciences},
  volume = {11},
  numero = {9},
  pages = {2463--2468},
  ISSN = {1561-8633},
  year = {2011},
  DOI = {10.5194/nhess-11-2463-2011},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053878},
}