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首页> 外文期刊>Journal of hydrometeorology >A Nonparametric Multivariate Multi-Index Drought Monitoring Framework
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A Nonparametric Multivariate Multi-Index Drought Monitoring Framework

机译：非参数多元多指标干旱监测框架

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摘要

Accurate and reliable drought monitoring is essential to drought mitigation efforts and reduction of social vulnerability. A variety of indices, such as the standardized precipitation index (SPI), are used for drought monitoring based on different indicator variables. Because of the complexity of drought phenomena in their causation and impact, drought monitoring based on a single variable may be insufficient for detecting drought conditions in a prompt and reliable manner. This study outlines a multivariate, multi-index drought monitoring framework, namely, the multivariate standardized drought index (MSDI), for describing droughts based on the states of precipitation and soil moisture. In this study, the MSDI is evaluated against U.S. Drought Monitor (USDM) data as well as the commonly used standardized indices for drought monitoring, including detecting drought onset, persistence, and spatial extent across the continental United States. The results indicate that MSDI includes attractive properties, such as higher probability of drought detection, compared to individual precipitation and soil moisture-based drought indices. This study shows that the MSDI leads to drought information generally consistent with the USDMand provides additional information and insights into drought monitoring.
机译：准确可靠的干旱监测对于缓解干旱和减少社会脆弱性至关重要。根据不同的指标变量，将诸如标准化降水指数（SPI）之类的多种指标用于干旱监测。由于干旱现象的原因和影响非常复杂，因此基于单个变量的干旱监测可能不足以迅速可靠地检测干旱状况。这项研究概述了一个多变量，多指标的干旱监测框架，即多变量标准化干旱指数（MSDI），用于描述基于降水和土壤水分状况的干旱。在这项研究中，MSDI是根据美国干旱监测（USDM）数据以及常用的干旱监测标准化指标（包括检测整个美国大陆的干旱发作，持久性和空间范围）进行评估的。结果表明，与单个降水和基于土壤湿度的干旱指数相比，MSDI具有诱人的特性，例如更高的干旱检测概率。这项研究表明，MSDI得出的干旱信息通常与USDM一致，并提供了有关干旱监测的其他信息和见解。

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