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Extreme Rainfall Indices in the Hydrographic Basins of Brazil

机译:巴西水文盆地的极端降雨指数

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The authors analyze climate extremes indices (CEI) of rainfall over the largest basins of the Brazilian territory: Amazon (AMA), S?o Francisco (SF), Tocantins (TO) and Paraná (PAR) rivers. The CEI represent the frequency of heavy precipitation events (R30mm and R95p) and short duration extreme rainfall (RX5day and RX1day). Droughts (CDDd) are identified based on two indicators: The longest dry period (CDD) and the annual cycle. The results demonstrate that CDDd, RX1day and RX5day occurred with more frequency and intensity in SF basin during El Ni?o events. CDDd was of greater magnitude in the TO basin during La Ni?a events, while an increase of RX1day occurred in El Ni?o. The strong El Ni?o events (1983 and 1997) caused more intense and frequent RX1day and R30mm over the PAR basin. Amazon droughts occurred in two out of the six El Ni?o events. Moreover, the relationship between the positive (negative) sea superficial temperatures anomalies in North (South) Tropical Atlantic and drought in AMA basin was corroborated. A gradual warming of SST was observed at the start of 2003 until it achieved a maximum in 2005 associated with the southwestern Amazon drought. The second highest anomaly of SST was in 2010 linked with drought that was more spatially extensive than the 2005 drought. The spatial distribution of annual trends showed a significant increase of CDD in south-eastern AMA, Upper SF, northern PAR and throughout the TO basins. R20mm, RX1day and RX5day tend to increase significantly in southwestern (northeast) PAR (AMA) and northwestern TO basins. Comparisons between CEI derived from daily precipitation data from Climate Prediction Center (CPCp) and of the ETA_HadCM3 model showed that the model overestimated RX1day, RX5day and CDD, in the four basins. Future scenarios show that dry periods will occur with greatest magnitude in all the basins until 2071-2099 time slice, while RX1day will be more intense in the TO and SF basins.
机译:作者分析了对巴西领土最大的盆地的气候极端指数(CEI):亚马逊(AMA),S?O Francisco(SF),Tocantins(To)和Paraná(Par)河流。 CEI代表了重度降水事件(R30mm和R95p)的频率,短持续时间极限降雨(RX5Day和RX1Day)。基于两个指标确定干旱(CDDD):最长的干燥期(CDD)和年度周期。结果表明,CDDD,RX1Day和RX5day在EL NI阵线期间在SF盆地中发生了更多的频率和强度。在La Ni期间,CDDD在盆地中具有更大的幅度?一系列事件,而在EL NI·o发生RX1day的增加。强大的el ni?o活动(1983年和1997年)造成了更强烈和频繁的rx1day和r30mm。亚马逊干旱发生在六个El Ni的两个事件中。而且,北(南)热带大西洋和AMA盆地干旱的阳性(负)海肤质温度之间的关系得到了腐败。在2003年初观察到SST的逐步变暖,直到它在2005年与亚马逊西南部干旱相关的2005年获得最大值。 SST的第二大异常是2010年与干旱相连,这些干旱比2005年的干旱更广泛。年趋势的空间分布在东南AMA,上部SF,北方平局和整个到盆地中大幅增加了CDD。 R20MM,RX1Day和RX5Day往往在西南(东北地区)(AMA)和西北部到盆地往往会显着增加。来自气候预测中心(CPCP)和ETA_HADCM3模型的每日降水数据源自派生的比较显示,在四个盆地中,模型高估了RX1Day,RX5Day和CDD。未来的情景表明,在所有盆地中,干燥时期将在2071-2099次时间切片中出现最大的程度,而RX1day将在To和SF盆地中更加激烈。

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