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The Use of TRMM 3B42 Product for Drought Monitoring in Mexico

机译:在墨西哥将TRMM 3B42产品用于干旱监测

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Drought has been a recurrent phenomenon in Mexico. For its assessment and monitoring, several studies have monitored meteorological droughts using standardized indices of precipitation deficits. Such conventional studies have mostly relied on rain gauge-based measurements, with the main limitation being the scarcity of rain gauge spatial coverage. This issue does not allow a robust spatial characterization of drought. A recent alternative for monitoring purposes can be found in satellite-based remote sensing of meteorological variables. The main objective of this study is to evaluate the standardized precipitation index (SPI) in Mexico during the period 1998 to 2013, using the Tropical Rainfall Measuring Mission (TRMM) satellite product 3B42. Results suggest that Mexico experienced the driest conditions during the great drought between 2011 and 2012; however, temporal variability in the SPI was found across different climatic regions. Nevertheless, a comparison of the SPI derived by TRMM against the rain gauge-based SPI computed by the official Mexican Drought Monitor showed low to medium correlation of the time series though both SPIs managed to capture the most relevant droughts at the national scale. We conclude that the TRMM product can properly monitor meteorological droughts despite its relative short dataset length (~15 years). Finally, we recommend an assimilation of rain gauge and satellite-based precipitation data to provide more robust estimates of meteorological drought severity.
机译:在墨西哥,干旱是一种经常发生的现象。为了对其进行评估和监测,一些研究使用降水不足的标准化指标监测了气象干旱。这样的常规研究主要依赖于基于雨量计的测量,主要限制是雨量计空间覆盖的稀缺性。这个问题不允许对干旱进行强有力的空间表征。在基于卫星的气象变量遥感中可以找到用于监视目的的最新替代方法。这项研究的主要目的是使用热带降雨测量任务(TRMM)卫星产品3B42评估1998年至2013年期间墨西哥的标准化降水指数(SPI)。结果表明,墨西哥在2011年至2012年的大干旱期间经历了最干旱的时期;但是,在不同的气候区域发现了SPI的时间变异性。尽管如此,TRMM得出的SPI与墨西哥官方干旱监测器计算出的基于雨量计的SPI的比较显示出时间序列的中低相关性,尽管这两个SPI都设法捕获了全国范围内最相关的干旱。我们得出的结论是,尽管TRMM产品的数据集长度相对较短(〜15年),但仍可以正确监测气象干旱。最后,我们建议将雨量计和基于卫星的降水数据同化,以提供更可靠的气象干旱严重程度估计。

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