@article{fdi:010049341,
  title = {{D}ownscaling extreme month-long anomalies in southern {S}outh {A}merica},
  author = {{M}enendez, {C}. {G}. and de {C}astro, {M}. and {B}oulanger, {J}ean-{P}hilippe and {D}'{O}nofrio, {A}. and {S}anchez, {E}. and {S}orensson, {A}. {A}. and {B}lazquez, {J}. and {E}lizalde, {A}. and {J}acob, {D}. and {L}e {T}reut, {H}. and {L}i, {Z}. {X}. and {N}unez, {M}. {N}. and {P}essacg, {N}. and {P}feiffer, {S}. and {R}ojas, {M}. and {R}olla, {A}. and {S}amuelsson, {P}. and {S}olman, {S}. {A}. and {T}eichmann, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e investigate the performance of one stretched-grid atmospheric global model, five different regional climate models and a statistical downscaling technique in simulating 3 months ({J}anuary 1971, {N}ovember 1986, {J}uly 1996) characterized by anomalous climate conditions in the southern {L}a {P}lata {B}asin. {M}odels were driven by reanalysis ({ERA}-40). {T}he analysis has emphasized on the simulation of the precipitation over land and has provided a quantification of the biases of and scatter between the different regional simulations. {M}ost but not all dynamical models underpredict precipitation amounts in south eastern {S}outh {A}merica during the three periods. {R}esults suggest that models have regime dependence, performing better for some conditions than others. {T}he models' ensemble and the statistical technique succeed in reproducing the overall observed frequency of daily precipitation for all periods. {B}ut most models tend to underestimate the frequency of dry days and overestimate the amount of light rainfall days. {T}he number of events with strong or heavy precipitation tends to be under simulated by the models.},
  keywords = {},
  booktitle = {},
  journal = {{C}limatic {C}hange},
  volume = {98},
  numero = {3-4},
  pages = {379--403},
  ISSN = {0165-0009},
  year = {2010},
  DOI = {10.1007/s10584-009-9739-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010049341},
}