Assessment of parametric approaches to calculate the Evaporative Demand Drought Index,International Journal of Climatology

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Assessment of parametric approaches to calculate the Evaporative Demand Drought Index
International Journal of Climatology ( IF 3.5 ) Pub Date : 2021-06-26 , DOI: 10.1002/joc.7275
I. Noguera ₁ , S.M. Vicente‐Serrano ₁ , F. Domínguez‐Castro _{2,

3} , F. Reig ₁

Affiliation

The Evaporative Demand Drought Index (EDDI), based on atmospheric evaporative demand, was proposed by Hobbins et al. (2016) to analyse and monitor drought. The EDDI uses a nonparametric approach in which empirically derived probabilities are converted to standardized values. This study evaluates the suitability of eight probability distributions to compute the EDDI at 1-, 3- and 12-month time scales, in order to provide more robust calculations. The results showed that the Log-logistic distribution is the best option for generating standardized values over very different climate conditions. Likewise, we contrasted this new parametric methodology to compute EDDI with the original nonparametric formulation. Our findings demonstrate the advantages of adopting a robust parametric approach based on the Log-logistic distribution for drought analysis, as opposed to the original nonparametric approach. The method proposed in this study enables effective implementation of EDDI in the characterization and monitoring of droughts.

中文翻译：

评估计算蒸发需求干旱指数的参数方法

Hobbins 等人提出了基于大气蒸发需求的蒸发需求干旱指数（EDDI）。（2016 年）分析和监测干旱。EDDI 使用非参数方法，将经验得出的概率转换为标准化值。本研究评估了八种概率分布在 1 个月、3 个月和 12 个月时间尺度上计算 EDDI 的适用性，以提供更稳健的计算。结果表明，对数逻辑分布是在非常不同的气候条件下生成标准化值的最佳选择。同样，我们将这种用于计算 EDDI 的新参数方法与原始的非参数公式进行了对比。我们的研究结果证明了采用基于对数逻辑分布的稳健参数方法进行干旱分析的优势，与原始的非参数方法相反。本研究中提出的方法能够有效地实施 EDDI 在干旱的表征和监测中。

更新日期：2021-06-26

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