@article{fdi:010066233,
  title = {{A} complete hydro-climate model chain to investigate the influence of sea surface temperature on recent hydroclimatic variability in subtropical {S}outh {A}merica ({L}aguna {M}ar {C}hiquita, {A}rgentina)},
  author = {{T}roin, {M}. and {V}rac, {M}. and {K}hodri, {M}yriam and {C}aya, {D}. and {V}allet-{C}oulomb, {C}. and {P}iovano, {E}. and {S}ylvestre, {F}lorence},
  editor = {},
  language = {{ENG}},
  abstract = {{D}uring the 1970s, {L}aguna {M}ar {C}hiquita ({A}rgentina) experienced a dramatic hydroclimatic anomaly, with a substantial rise in its level. {P}recipitations are the dominant driving factor in lake level fluctuations. {T}he present study investigates the potential role of remote forcing through global sea surface temperature ({SST}) fields in modulating recent hydroclimatic variability in {S}outheastern {S}outh {A}merica and especially over the {L}aguna {M}ar {C}hiquita region. {D}aily precipitation and temperature are extracted from a multi-member {LMD}z atmospheric general circulation model ({AGCM}) ensemble of simulations forced by {H}ad{ISST}1 observed time-varying global {SST} and sea-ice boundary conditions from 1950 to 2005. {T}he various members of the ensemble are only different in their atmospheric initial conditions. {S}tatistical downscaling ({SD}) is used to adjust precipitation and temperature from {LMD}z ensemble mean at the station scale over the basin. {A} coupled basin-lake hydrological model (cp{HM}) is then using the {LMD}z-downscaled ({LMD}z-{SD}) climate variables as input to simulate the lake behavior. {T}he results indicate that the long-term lake level trend is fairly well depicted by the {LMD}z-{SD}-cp{HM} simulations. {T}he 1970s level rise and high-level conditions are generally well captured in timing and in magnitude when {SST}-forced {AGCM}-{SD} variables are used to drive the cp{HM}. {A}s the {LMD}z simulations are forced solely with the observed sea surface conditions, the global {SST} seems to have an influence on the lake level variations of {L}aguna {M}ar {C}hiquita. {A}s well, this study shows that the {AGCM}-{SD}-cp{HM} model chain is a useful approach for evaluating long-term lake level fluctuations in response to the projected climate changes.},
  keywords = {{LMD}z ; {S}tatistical downscaling ; {H}ydrological modeling ; {L}ake leve variability ; {S}outheastern {S}outh {A}merica ; {ARGENTINE}},
  booktitle = {},
  journal = {{C}limate {D}ynamics},
  volume = {46},
  numero = {5-6},
  pages = {1783--1798},
  ISSN = {0930-7575},
  year = {2016},
  DOI = {10.1007/s00382-015-2676-0},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066233},
}