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An enhanced water storage deficit index (EWSDI) for drought detection using GRACE gravity estimates
Journal of Hydrology ( IF 6.4 ) Pub Date : 2021-08-13 , DOI: 10.1016/j.jhydrol.2021.126812
Behnam Khorrami 1 , Orhan Gunduz 2
Affiliation  

Accurate detection and monitoring of drought events are important particularly in arid and semi-arid regions of the world. Gravity Recovery and Climate Experiment (GRACE) gravity estimates have been used widely for this purpose and a number of indices have been developed using the GRACE Terrestrial Water Storage Anomalies (TWSA) values. In the current study, a new approach is proposed to enhance the performance of the GRACE-based Water Storage Deficit Index (WSDI). The proposed Enhanced Water Storage Deficit Index (EWSDI) was developed based on the grid-based standardization of the Water Storage Deficit (WSD) values. The decomposed time series of the TWSA were computed in an attempt to evaluate the performance of the approach based on different components of the TWSA time series. Standardized Precipitation Index (SPI) and modelled Soil Moisture Storage (SMS) were also used to validate the functionality of this new GRACE-derived index. The applicability of the EWSDI index was tested in the semi-arid climatic conditions of Turkey and the results showed that the detrended EWSDI better correlated with SPI-09 and annual SPI with correlation coefficient values of 0.70 and 0.76, respectively. The findings also suggested an approximate enhancement of 13% over the existing WSDI when applied on the detrended TWSA. The findings of this study reveal that the proposed approach is effective in improving the performance of the existing WSDI to detect drought events in terms of monthly and annual correlation coefficients achieved.



中文翻译:

使用 GRACE 重力估计进行干旱检测的增强型储水赤字指数 (EWSDI)

准确检测和监测干旱事件在世界干旱和半干旱地区尤为重要。重力恢复和气候实验 (GRACE) 重力估计已广泛用于此目的,并且已使用 GRACE 陆地储水异常 (TWSA) 值开发了许多指数。在当前的研究中,提出了一种新方法来提高基于 GRACE 的储水赤字指数 (WSDI) 的性能。提议的增强型储水赤字指数 (EWSDI) 是根据储水赤字 (WSD) 值的基于网格的标准化制定的。计算 TWSA 的分解时间序列以尝试基于 TWSA 时间序列的不同组件评估该方法的性能。标准化降水指数 (SPI) 和模拟土壤水分储存 (SMS) 也用于验证这一新的 GRACE 衍生指数的功能。在土耳其半干旱气候条件下测试了 EWSDI 指数的适用性,结果表明去趋势的 EWSDI 与 SPI-09 和年度 SPI 的相关性更好,相关系数值分别为 0.70 和 0.76。研究结果还表明,当应用于去趋势的 TWSA 时,比现有的 WSDI 大约提高了 13%。本研究的结果表明,所提出的方法可有效提高现有 WSDI 检测干旱事件的月度和年度相关系数的性能。在土耳其半干旱气候条件下测试了 EWSDI 指数的适用性,结果表明去趋势的 EWSDI 与 SPI-09 和年度 SPI 的相关性更好,相关系数值分别为 0.70 和 0.76。研究结果还表明,当应用于去趋势的 TWSA 时,比现有的 WSDI 大约提高了 13%。本研究的结果表明,所提出的方法可有效提高现有 WSDI 检测干旱事件的月度和年度相关系数的性能。在土耳其半干旱气候条件下测试了 EWSDI 指数的适用性,结果表明去趋势的 EWSDI 与 SPI-09 和年度 SPI 的相关性更好,相关系数值分别为 0.70 和 0.76。研究结果还表明,当应用于去趋势的 TWSA 时,比现有的 WSDI 大约提高了 13%。本研究的结果表明,所提出的方法可有效提高现有 WSDI 检测干旱事件的月度和年度相关系数的性能。研究结果还表明,当应用于去趋势的 TWSA 时,比现有的 WSDI 大约提高了 13%。本研究的结果表明,所提出的方法可有效提高现有 WSDI 检测干旱事件的月度和年度相关系数的性能。研究结果还表明,当应用于去趋势的 TWSA 时,比现有的 WSDI 大约提高了 13%。本研究的结果表明,所提出的方法可有效提高现有 WSDI 检测干旱事件的月度和年度相关系数的性能。

更新日期:2021-09-16
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