2013
DOI: 10.1016/j.gloplacha.2013.08.006
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Cold air intrusions over southeastern South America — GFDL model behavior regarding climate simulations in the 20th century and future projections

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Cited by 6 publications
(2 citation statements)
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“…Nevertheless, Yin et al (2013) showed that GCM's handicaps in predicting fully CAI space-time features result in significant simulated rainfall bias, especially in the transition seasons, and more so in the spring (SON). In the austral winter, that is the dry season (May-September), GCM CAI climatology also points to decreases in frequency albeit accompanied by increases in intensity under global warming (Cavalcanti et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, Yin et al (2013) showed that GCM's handicaps in predicting fully CAI space-time features result in significant simulated rainfall bias, especially in the transition seasons, and more so in the spring (SON). In the austral winter, that is the dry season (May-September), GCM CAI climatology also points to decreases in frequency albeit accompanied by increases in intensity under global warming (Cavalcanti et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…There are few studies on climatology of frontal systems over South America in modelling simulations. Global models, such as GFDL‐CM2.0 (Geophysical Fluid Dynamics Laboratory), represented the cold air intrusions from May to September from 1961 to 1990 over different regions of Southeast South America, where the frontal systems impact, but overestimated the frequency of cases (Cavalcanti et al, ). For the same regions and historical period, Andrade et al .…”
Section: Introductionmentioning
confidence: 99%