A Continuous Drought Risk Monitoring System, CDRMS, Based on Copulas

J. Filho, M. M. Portela, Tmc Studart, Farias Filho
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Abstract

From the drought indices, the Standardized Precipitation Index, SPI, is the most used one. However, it is difficult to use to monitor the ongoing drought characteristics because it cannot be expeditiously related to precipitation deficits. It also does not provide information regarding the drought risk nor the temporal evolution of the droughts. By using the SPI, a copula-based Continuous Drought Risk Monitoring System, CDRMS, was developed aiming to monitor the droughts, including the risk of having a drought event as the rainy season advances. In climates with very pronounced rainy seasons, the absence of precipitation along the same is the fundamental booster of droughts. After presenting the CDRMS, the paper describes its application to Mainland Portugal, which showed that the system has an increased capability of anticipating the drought risk by the end of the rainy season as new precipitation records are known. The good performance of the system results from the ability of the copula to model complex dependence structures as those existing between precipitations in different time intervals. CDRMS is an innovative and user-friendly tool to monitor the precipitation and, consequently, the drought risk, allowing to anticipate mitigation and adaptation measures or even to issue alarms.
基于copula的连续干旱风险监测系统CDRMS
在干旱指数中,使用最多的是标准化降水指数SPI。然而,它很难用于监测持续的干旱特征,因为它不能迅速与降水不足联系起来。它也没有提供关于干旱风险和干旱时间演变的资料。利用SPI,开发了一个基于copula的连续干旱风险监测系统(CDRMS),旨在监测干旱,包括随着雨季的推进发生干旱事件的风险。在雨季非常明显的气候中,沿线降水的缺乏是干旱的根本助推器。在介绍了CDRMS之后,论文描述了它在葡萄牙大陆的应用,这表明该系统在雨季结束时预测干旱风险的能力有所提高,因为有了新的降水记录。系统的良好性能源于该联结体能够模拟不同时间间隔降水之间存在的复杂依赖结构。CDRMS是一种创新和用户友好的工具,用于监测降水,从而监测干旱风险,从而可以预测缓解和适应措施,甚至发出警报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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