Comparison of seven meteorological indices for drought monitoring in Iran

TLDR

Drought monitoring is essential for risk management and is typically performed using various indices that are continuous functions of rainfall and other hydrometeorological variables, many of which have been introduced and applied worldwide. This paper compares the performance of seven indices for drought monitoring in Tehran province, Iran. The indices compared are DI, PN, SPI, CZI, MCZI, Z‑Score, and EDI, evaluated over 32 years of data and the 1998–2001 drought spell. SPI, CZI, and Z‑Score perform similarly but respond slowly; DI is highly responsive yet inconsistent; SPI and EDI consistently detect drought onset and variation, with EDI being more responsive and better overall, making it suitable for operational monitoring. © 2006 Royal Meteorological Society.

Abstract

Abstract Drought monitoring is an essential component of drought risk management. It is normally performed using various drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables. A number of drought indices have been introduced and applied in different countries to date. This paper compares the performance of seven indices for drought monitoring in the Tehran province of Iran. The indices used include deciles index (DI), percent of normal (PN), standard precipitation index (SPI), China‐Z index (CZI), modified CZI (MCZI), Z ‐Score and effective drought index (EDI). The comparison of indices is based on drought cases and classes that were detected in the province over the 32 years of data, as well as over the latest 1998–2001 drought spell. The results show that SPI, CZI and Z ‐Score perform similarly with regard to drought identification and respond slowly to drought onset. DI appears to be very responsive to rainfall events of a particular year, but it has inconsistent spatial and temporal variation. The SPI and EDI were found to be able to detect the onset of drought, its spatial and temporal variation consistently, and it may be recommended for operational drought monitoring in the Province. However, the EDI was found to be more responsive to the emerging drought and performed better. Copyright © 2006 Royal Meteorological Society