@article{fdi:010068881,
  title = {{R}egionalization of rainfall over the {P}eruvian {P}acific slope and coast},
  author = {{R}au, {P}. and {B}ourrel, {L}uc and {L}abat, {D}. and {M}elo, {P}. and {D}ewitte, {B}oris and {F}rappart, {F}. and {L}avado, {W}. and {F}elipe, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{D}ocumenting the heterogeneity of rainfall regimes is a prerequisite for water resources management, mitigation of risks associated to extremes weather events and for impact studies. {I}n this paper, we present a method for regionalization of rainfall over the {P}eruvian {P}acific slope and coast, which is the main economic zone of the country and concentrates almost 50% of the population. {O}ur approach is based on a two-step process based on k-means clustering followed by the regional vector method ({RVM}) applied to a network of 145 rainfall stations covering the period 1964-2011. {T}he advantage of combining cluster analysis and {RVM} is demonstrated compared with just applying each of these methods. {N}ine homogeneous regions are identified that depict the salient features of the rainfall variability over the study area. {A} detailed characterization of the rainfall regime in each of the identified regions is presented in response to climate variability at seasonal and interannual timescale. {T}hey are shown to grasp the main modes of influence of the {E}l {N}ino {S}outhern {O}scillation ({ENSO}), that is, increased rainfall over downstream regions in northern {P}eru during extreme {E}l {N}ino events and decreased rainfall over upstream regions along the {P}acific slope during central {P}acific {E}l {N}ino events. {O}verall our study points to the value of our two-step regionalization procedure for climate impact studies.},
  keywords = {rainfall ; regionalization ; k-means ; regional vector ; {P}eruvian {P}acific ; slope ; {P}eruvian coast ; {ENSO} ; {PEROU} ; {PACIFIQUE}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {C}limatology},
  volume = {37},
  numero = {1},
  pages = {143--158},
  ISSN = {0899-8418},
  year = {2017},
  DOI = {10.1002/joc.4693},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068881},
}