A comparative performance analysis of three meteorological drought indices

Oladipo, E. O.

doi:10.1002/joc.3370050607

Cited by 141 publications

(16 citation statements)

References 4 publications

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“…Olukayode Oladipo (1985) found that differences between the RAI and the more complicated indices of the Palmer drought index (Palmer, 1965) and Bhalme and Mooley drought index (Bhalme and Mooley, 1980) were negligible.…”

Section: Rainfall Anomaly Index (Rai)mentioning

confidence: 99%

Searching for the optimal drought index and timescale combination to detect drought: a case study from the lower Jinsha River basin, China

Fluixá-Sanmartín

Deng

Fischer

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Drought indices based on precipitation are commonly used to identify and characterize droughts. Due to the general complexity of droughts, the comparison of index-identified events with droughts at different levels of the complete system, including soil humidity or river discharges, relies typically on model simulations of the latter, entailing potentially significant uncertainties. The present study explores the potential of using precipitation-based indices to reproduce observed droughts in the lower part of the Jinsha River basin (JRB), proposing an innovative approach for a catchment-wide drought detection and characterization. Two indicators, namely the Overall Drought Extension (ODE) and the Overall Drought Indicator (ODI), have been defined. These indicators aim at identifying and characterizing drought events on the basin scale, using results from four meteorological drought indices (standardized precipitation index, SPI; rainfall anomaly index, RAI; percent of normal precipitation, PN; deciles, DEC) calculated at different locations of the basin and for different timescales. Collected historical information on drought events is used to contrast results obtained with the indicators. This method has been successfully applied to the lower Jinsha River basin in China, a region prone to frequent and severe droughts. Historical drought events that occurred from 1960 to 2014 have been compiled and cataloged from different sources, in a challenging process. The analysis of the indicators shows a good agreement with the recorded historical drought events on the basin scale. It has been found that the timescale that best reproduces observed events across all the indices is the 6-month timescale.

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Section: Rainfall Anomaly Index (Rai)mentioning

confidence: 99%

Searching for the optimal drought index and timescale combination to detect drought: a case study from the lower Jinsha River basin, China

Fluixá-Sanmartín

Deng

Fischer

et al. 2018

Hydrol. Earth Syst. Sci.

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“…First, it is solely based on precipitation data: SPI time series are obtained through an equiprobability transformation of a cumulative rainfall time series into a standardized normal distribution (McKee et al, 1993). Oladipo (1985) showed that indices based on precipitation can perform well in Nebraska compared with more complex indices such as the PDSI, which has been confirmed over Europe by Lloyd-Hughes and Saunders (2002). Second, it allows drought assessment at different time scales (McKee et al, 1995).…”

mentioning

confidence: 94%

A multimodel assessment of future climatological droughts in the United Kingdom

Vidal

Wade

2009

Intl Journal of Climatology

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This paper presents a detailed assessment of future rainfall drought patterns over the United Kingdom. Previously developed bias-corrected high-resolution gridded precipitation time series are aggregated to the scale relevant for water resources management, in order to provide 21st-century time series for 183 hydrologic areas, as computed by six General Circulation Models (GCMs) under two emissions scenarios. The control run data are used as a 'learning time series' to compute the Standardized Precipitation Index (SPI) at four different time scales. SPI values for three 30-year future time slices are computed with respect to these learning time series in order to assess the changes in drought frequency. Multimodel results under the A2 scenario show a dramatic increase in the frequency of short-term extreme drought class for most of the country. A decrease of long-term droughts is expected in Scotland, due to the projected increase in winter precipitation. The analysis for two catchment case studies also showed that changes under the B2 scenario are generally consistent with those of the A2 scenario, with a reduced magnitude in changes. The overall increase with time in the spread of individual GCM results demonstrates the utility of multimodel statistics when assessing the uncertainty in future drought indices to be used in long-term water resources planning.

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“…Na temelju 73-godišnjeg niza oborina područja Lakoja u Nigeriji, od četiri uspoređene metode, stohastičke komponente vremenskih nizova (SCTS), indeksa anomalije oborina (RAI), indeksa jakosti suše (DSI) i kumulativne informacije o oborinama (CRI) najpogodnijom je ocijenjen indeks anomalije oborina (RAI) jer daje najviše informacija o pojavnosti i jakosti suše analiziranog područja [12]. Usporedba karakteristika triju metoda za ocjenu meteorološke suše, Palmerovog indeksa suše (PDI), Bhalme-Mooley indeksa suše (BMDI) i indeksa anomalije oborina (RAI) za područje Nebraske (SAD) pokazuje da su sve tri metode pogodne za identifikaciju suše, a oborina je dominantan čimbenik pojavnosti suše te su jednostavne metode koje se zasnivaju samo na analizi oborina jednako dobre kao i vrlo složeni indeksi suše [13]. Za područje SAD-a provedena istraživanja pokazuju vrlo veIiku korelaciju (r = 0,97) između indeksa standardiziranih oborina (SPI) i indeksa anomalije oborina (RAI), dok je veza između Palmerovog indeksa jakosti suše (PDSI) i indeksa anomalije oborina znatno slabija [14].…”

Section: Uvodunclassified

Usporedba različitih metoda za ocjenu suše na području kontinentalne Hrvatske

2015

JCE

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Usporedba različitih metoda za ocjenu suše na području kontinentalne Hrvatske Suša je ekstremna hidrološka pojava koja izaziva velike gospodarske i ekološke štete. Identifikacija i kvantifikacija suše provodi se primjenom različitih metoda. Za područje kontinentalne Hrvatske, na 15 meteoroloških postaja od 1981. do 2011. godine, provedena je analiza 5 metoda za identifikaciju suše: indeks standardiziranih oborina, metoda decila, postotak od normale, indeks anomalije oborina i metoda koraka. Rezultati su pokazali da svaka od metoda ima svoje specifičnosti, ali su sve primjenjive za analizirano područje. Indeks standardiziranih oborina ima značajnu korelaciju s metodom decila, postotkom od normale i indeksom anomalije oborina.Ključne riječi: suša, indeks standardiziranih oborina, metoda decila, postotak od normale, indeks anomalije oborina, metoda koraka Subject review

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A comparative performance analysis of three meteorological drought indices

Cited by 141 publications

References 4 publications

Searching for the optimal drought index and timescale combination to detect drought: a case study from the lower Jinsha River basin, China

Searching for the optimal drought index and timescale combination to detect drought: a case study from the lower Jinsha River basin, China

A multimodel assessment of future climatological droughts in the United Kingdom

Usporedba različitih metoda za ocjenu suše na području kontinentalne Hrvatske

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