Corrigendum To: ‘discrepancy Precipitation Index for Monitoring Meteorological Drought’ by Gokmen Tayfur, Journal of Hydrology 597 (2021) 126174, Doi 10.1016/J.jhydrol.2021.126174 (journal of Hydrology (2021) 597, (s0022169421002213), (10.1016/J.jhydrol.2021.126174))

Abstract

Above paper developed a new meteorological drought index called the Discrepancy Precipitation Index (DPI). The method does not impose any probability distribution on the precipitation data. The method is based on the discrepancy of the data with respect to the mean value, rather than the deviation as it is the case in the Standard Precipitation Index (SPI). The drought classifications are proposed based on the D-score values (see Table 1). Its drought classification ranges are straightforward as those of the SPI. The method is applied to assess the meteorological drought at several stations located at different climatic regions such as the arid climate (Mauritania), semi-arid climate (Afghanistan) and the Mediterranean climate (Turkey). Since the above paper solely focused on the drought periods, the D-scores were not provided for the wet conditions. A recent study by Simsek and Turhan (2024) employed the Standardized Precipitation Index (SPI-Gamma, SPI-Lognormal), the Discrepancy Precipitation Index (DPI), and Reconnaissance Drought Index (RDI) for capturing the dry and wet periods using precipitation data from eight gauging stations along the Central Mediterranean coast of Turkey. They have pointed, on page 20, that ‘… since a category was not specified for periods with DPI values greater than zero in the Tayfur (2021) study, all wet periods are considered in a single category…’. Some studies, as the study of Simsek and Turhan (2024), are also interested in not only dry periods but also wet ones. Also, the DPI is being recently employed more often in the literature (Mersin et al. 2022, Muse et al 2023, Simsek and Turhan, 2024). Therefore, it would be very useful to give also the D-scores for the wet categories. Table 2 presents the D-scores for both the wet and dry periods and thus completing the D-score category table and forming the basis for future studies that may employ the DPI for analyzing wet and dry periods not only for meteorological but also for hydrological drought analysis. © 2024