Comparison of standardized meteorological indices for drought monitoring at northern part of Cyprus

Payab, Ahmad Haseeb; Türker, Umut

doi:10.1007/s12665-019-8309-x

Cited by 33 publications

(11 citation statements)

References 48 publications

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“…It seems that the relationship between the meteorological drought index and the SOI index demonstrates a good quality in semi-arid and tropical regions. However, [32] found that there was an insignificant correlation between SOI and drought characteristics in Cyprus. The different climate region probably leads to why the result showed a weak association considering that the study was conducted in the European region.…”

Section: Comparison Analyses Between Meteorological Drought Index Andmentioning

confidence: 88%

Meteorological Drought and its Relationship with Southern Oscillation Index (SOI)

Harisuseno

2020

Civ Eng J

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Drought monitoring, including its severity, spatial, and duration is essential to enhance resilience towards drought, particularly for overcoming drought risk management and mitigation plan. The present study has an objective to examine the suitability of the Standardized Precipitation Index (SPI) and Percent of Normal Index (PN) on assessing drought event by analyzing their relationship with the Southern Oscillation Index (SOI). The monthly rainfall data over twenty years of the observation period were used as a basis for data input in the drought index calculation. The statistical association analyses, included the Pearson Correlation (r), Kendal tau (τ), and Spearman rho (rs) used to assess the relationship between the monthly drought indexes and SOI. The present study confirmed that the SPI showed a more consistent and regular pattern relationship with SOI basis which was indicated by a moderately high determination coefficient (R2) of 0.74 and the magnitude of r, τ, and rs that were of 0.861, 0.736, and 0.896, respectively. Accordingly, the SPI showed better compatibility than the PN for estimating drought characteristics. The study also revealed that the SOI data could be used as a variable to determine the reliability of drought index results.

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Section: Comparison Analyses Between Meteorological Drought Index Andmentioning

confidence: 88%

Meteorological Drought and its Relationship with Southern Oscillation Index (SOI)

Harisuseno

2020

Civ Eng J

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“…It has been used by China National Climate Center since 1995 to monitor drought conditions throughout the country; and is calculated as shown in Eq. ( 10) (Morid et al 2006;Dogan et al 2012;Jain et al 2015;Payab and Turker 2019).…”

Section: China-z Indexmentioning

confidence: 99%

“…It has been observed in recent years that researchers have used various drought indices with greater emphasis on drought studies with global warming (Lloyd-Hughes and Saunders 2002;Sirdas and Sen 2003;Deo and Sahin 2015;Yue et al, 2015;Oguzturk and Yildiz 2016;Osuch et al 2016;Ionita et al 2016;Wang et al 2017;Gumus and Algin 2017;Yacoub and Tayfur 2017;Ramkar and Yadav 2018;Myronidis et al 2018;Bushra et al 2019;Garcia-Leon et al 2019;Payab and Turker 2019;Pathak and Dodamani 2019;Yenigun and Ibrahim 2019;Kumanlioglu 2020;Vergni et al 2021). Morid et al (2006) conducted a study in Tehran and compared seven different drought indices (Standard Precipitation Index (SPI), Percent of Normal (PN), Deciles Index (DI), Z-Score Index (ZSI), China-Z Index (CZI), Modified China-Z Index (MCZI), and Effective Drought Index (EDI)).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Four Precipitation Based Meteorological Drought Indices in Yesilirmak Basin, Turkey

ZEYBEKOĞLU

Hezarani

KESKİN

2021

Preprint

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Drought, which is often defined as not enough precipitation, does not a mean simple lack of precipitation. This condition, which occurs when humidity is less than the average value for many years, is caused by a disrupted balance between precipitation and evaporation in a region. It is very difficult to predict the start and the end time of drought. In the present study, the drought conditions of the stations selected from Yesilirmak Basin between 1970 and 2014 were determined by using Z-Score Index (ZSI), China-Z Index (CZI), Modified China-Z Index (MCZI), and Standard Precipitation Index (SPI), and the compliance of these indices to the SPI was investigated. It was determined that these indices gave parallel results to each other, and SPI detected drought earlier than other indices.

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“…Its relatively unperceptive onset and the multifaceted impacts cause the new assessment methodologies [1][2][3][4][5]. Since last decades, it has become more prominent to distress the environment and economic sectors worldwide than other natural hazards [6][7][8]. Moreover, determining the onset and end times of the drought is still challenging for drought management.…”

Section: Introductionmentioning

confidence: 99%

Prediction for Various Drought Classes Using Spatiotemporal Categorical Sequences

et al. 2021

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Drought frequently spreads across large spatial and time scales and is more complicated than other natural disasters that can damage economic and other natural resources worldwide. However, improved drought monitoring and forecasting techniques can help to minimize the vulnerability of society to drought and its consequent influences. This emphasizes the need for improved drought monitoring tools and assessment techniques that provide information more precisely about drought occurrences. Therefore, this study developed a new method, Model-Based Clustering for Spatio-Temporal Categorical Sequences (MBCSTCS), that uses state selection procedures through finite mixture modeling and model-based clustering. The MBCSTCS uses the functional structure of first-order Markov model components for modeling each data group. In MBCSTCS, the suitable order K of the components is selected by Bayesian information criterion (BIC). In MBCSTCS, the estimated mixing proportions and the posterior probabilities are used to compute probability distribution associated with the future steps of transitions. Furthermore, MBCSTCS predicts drought occurrences in future time using spatiotemporal categorical sequences of various drought classes. The MBCSTCS is applied to the six meteorological stations in the northern area of Pakistan. Moreover, it is found that MBCSTCS provides expeditious information for the long-term spatiotemporal categorical sequences. These findings may be helpful to make plans for early warning systems, water resource management, and drought mitigation policies to decrease the severe effects of drought.

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Comparison of standardized meteorological indices for drought monitoring at northern part of Cyprus

Cited by 33 publications

References 48 publications

Meteorological Drought and its Relationship with Southern Oscillation Index (SOI)

Meteorological Drought and its Relationship with Southern Oscillation Index (SOI)

Comparison of Four Precipitation Based Meteorological Drought Indices in Yesilirmak Basin, Turkey

Prediction for Various Drought Classes Using Spatiotemporal Categorical Sequences

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