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Evaluation of a composite drought index to identify seasonal drought and its associated atmospheric dynamics in Northern Punjab, Pakistan

机译:评价综合干旱指数,以识别旁观旁旁党,巴基斯坦北部季节干旱及其相关大气动态

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Drought is one of the most devastating climate extremes in terms of its spatial extent and intensity. Rainfed areas are extremely vulnerable to drought, but effective monitoring may lessen the impact of such events. This study developed a composite drought index (CDI) for monitoring and assessing seasonal droughts in rainfed areas of the Potwar Plateau of Pakistan, using remotely sensed and observed meteorological datasets. We identified four severe-to-extreme drought periods in the Rabi season (wheat; 2000-01, 2001-02, 2009-10, and 2011-12) and four such events in the Kharif season (maize; 2000-2002 and 2009). An intense agro-meteorological drought was experienced in 2000, which reduced the wheat and maize yields to-54.6% and-29.9%, respectively. Our analysis revealed that these conditions could be explained by the vertically integrated moisture flux divergence (MFD), moisture transport, and total precipitable water (TPW) anomalies. For example, the presence of a strong MFD anomaly over the study area was responsible for preventing moisture transport from the Arabian Sea and Bay of Bengal, resulting in dry conditions. The index developed here can effectively monitor seasonal droughts in rainfed areas, which may help inform strategies to lessen the impact of such events.
机译:干旱是其空间程度和强度最具破坏性气候最终的气候之一。雨水区极易受到干旱的影响,但有效的监测可能会降低这些事件的影响。本研究开发了一种综合干旱指数(CDI),用于监测和评估巴基斯坦波球石高原的雨量区域的季节性干旱,使用远程感测和观察到的气象数据集。我们在rabi季节(小麦; 2000-01,2001-02,2009-10和2011-12)和Kharif季节(玉米; 2000-2002和2009年)的四场比赛)。 2000年经验丰富的农业气象干旱,其分别将小麦和玉米产量减少至54.6%和-29.9%。我们的分析表明,这些条件可以通过垂直整合的水分通量发散(MFD),湿气运输和总可降水水(TPW)异常来解释。例如,在研究区的强大MFD异常存在的存在负责防止来自阿拉伯海和孟加拉海湾的水分运输,导致干燥的条件。此处开发的指数可以有效地监测雨量地区的季节性干旱,这可能有助于提供策略来减少此类事件的影响。

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