2010–2012 drought and flood events in the Amazon Basin inferred by GRACE satellite observations
2010–2012 drought and flood events in the Amazon Basin inferred by GRACE satellite observations
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DOI：
10.1117/1.jrs.9.096023
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发表时间：
2015
影响因子：
1.7
通讯作者：
N. Nie;Wanchang Zhang;Huadong Guo;N. Ishwaran
中科院分区：
文献类型：
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作者：
N. Nie;Wanchang Zhang;Huadong Guo;N. Ishwaran
抽象。2010年至2012年期间，亚马逊流域经历了从极端干旱到洪水的突然转变，给数千个家庭的财产造成了重大损失和破坏。我们使用来自重力恢复和气候实验（GRACE）、热带降雨测量使命（TRMM）和全球土地数据同化系统（GLDAS）最新产品的数据集来评估2010-2012年亚马逊地区从极端干旱到洪水的突然转变的范围、强度和动态。利用GRACE卫星遥感资料与TRMM卫星和GLDAS资料反演的降水量对比，再现了2010 - 2012年极端干旱向洪涝突变期间的月发展过程。2010年干旱和2012年洪水高峰期的累积降水量在时间和空间尺度上都与陆地储水量的亏缺和盈余非常相似。此外，还发现2010年和2012年亚马逊极端干旱/洪水事件与厄尔尼诺-南方涛动之间存在很强的相关性。这项研究有助于将有关灾害的历史资料存档，从而有助于制定亚马逊地区区域范围的旱涝灾害预防和减轻战略。
Abstract. The Amazon Basin experienced an abrupt transition from extreme drought to flood during 2010–2012, causing significant loss and damage to the property of thousands of families. We used datasets derived from the latest products of the Gravity Recovery and Climate Experiment (GRACE), Tropical Rainfall Measuring Mission (TRMM), and the Global Land Data Assimilation System (GLDAS) to assess the extent, intensity, and dynamics of the 2010–2012 abrupt transition from extreme drought to flood in the Amazon. The monthly developing processes during the abrupt transition from extreme drought to flood between 2010 and 2012 were reproduced and examined by comparisons between GRACE terrestrial water storage anomaly and the precipitation derived from TRMM satellite estimates and GLDAS datasets. Accumulated precipitation during the peak of 2010 drought and 2012 flood looks very much similar to terrestrial water storage deficit and surplus, both at the temporal and spatial scales. Furthermore, strong correlations between the 2010 and 2012 extreme drought/flood events over the Amazon and El Niño-Southern Oscillation were also detected. This study can be helpful for archiving historical information on disasters that can contribute to the elaboration of regional scale drought/flood disaster prevention and mitigation strategies in the Amazon.