Spatiotemporal analysis of drought by CHIRPS precipitation estimates

Aksu, Hakan; Cavus, Yonca; Aksoy, Hafzullah; Akgül, Mehmet Ali; Turker, Seyhmus; Eriş, Ebru

doi:10.1007/s00704-022-03960-6

Cited by 19 publications

(11 citation statements)

References 57 publications

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“…Yirga [22] used SPI to determine drought events and analyzed the spatiotemporal variation of drought in central Ethiopia from 1989 to 2017 based on the drought frequency and severity. The spatial and temporal change in the drought over the Kucuk Menderes River Basin in the western part of Turkey was investigated using SPI at the 3-month timescale [23]. Roushangar et al [24] identified the spatio-temporal variation of drought frequency, duration, severity, and peak in Iran during the 1951-2016 period based on SPI with timescales of 3, 6, and 12 months.…”

Section: Spatio-temporal Analysis Of Drought In the North-eastern Coa...mentioning

confidence: 99%

“…There are several drought characteristics, hence the spatio-temporal variation analysis of drought is considered more reliable when more drought characteristics are used. To analyze the spatial variation of drought, the above studies used data collected from many ground stations [16] [18] [21] [24] [25] or satellite data [20] or both ground stations and satellite data [17] [23]. The results of spatio-temporal analysis of drought help constitute the scientific basis to analyze the impact of drought on crop production [21] [25], suggesting a cropping pattern for the drought-affected regions and implementing effective drought mitigation measures and water resource planning in drought areas [18].…”

Section: Spatio-temporal Analysis Of Drought In the North-eastern Coa...mentioning

confidence: 99%

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Spatio-Temporal Analysis of Drought in the North-Eastern Coastal Region of Vietnam Using the Standardized Precipitation Index (SPI)

Tuan¹,

Hiếu²,

Bang³

et al. 2023

ACS

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Spatio-temporal analysis of drought provides valuable information for drought management and damage mitigation. In this study, the Standardized Precipitation Index at the time scale of 6 months (SPI-6) is selected to reflect drought conditions in the North-Eastern coastal region of Vietnam. The drought events and their characteristics from 1981 to 2019 are detected at 9 meteorological stations and 10 Chirps rainfall stations. The spatio-temporal variation of drought in the study region is analyzed on the basis of the number, duration, severity, intensity, and peak of the detected drought events at the 19 stations. The results show that from 1981 to 2019 the drought events mainly occurred with 1-season duration and moderate intensity and peak. The number, duration, severity, and peak of the drought events were the greatest in the period 2001-2010 and were the smallest in the period 2011-2019. Among the 19 stations, the drought duration tends to decrease at 11 stations, increase at 7 stations, and has a slight variant at 1 station; the drought severity tends to decrease at 14 stations, increase at 4 stations, and has not a significant trend at 1 station; the drought intensity tends to decrease at 17 stations, increase at 1 station, and has a slight variant at 1 station; and the drought peak tends to decrease at 18 stations and increase at 1 station.

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Section: Spatio-temporal Analysis Of Drought In the North-eastern Coa...mentioning

confidence: 99%

Section: Spatio-temporal Analysis Of Drought In the North-eastern Coa...mentioning

confidence: 99%

Spatio-Temporal Analysis of Drought in the North-Eastern Coastal Region of Vietnam Using the Standardized Precipitation Index (SPI)

Tuan¹,

Hiếu²,

Bang³

et al. 2023

ACS

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show abstract

“…There are many different types of drought indices in the literature, each with its advantages and limitations, and the choice of the index to be used depends on the prevailing type of drought, the hydroclimatological conditions of the region, and the quality of the available data (Svoboda & Fuchs, 2016). Some of the most widely used drought indices include the standardized precipitation index (SPI), standardized precipitation‐evapotranspiration index (SPEI) and reconnaissance drought index (RDI), all of which are recognized as reliable for assessing drought at both regional and global scales (Aksoy et al, 2021; Aksu et al, 2022; Cavus & Aksoy, 2020; Eris et al, 2020; Kingston et al, 2015; Manzano et al, 2019; Mathbout et al, 2018; Mohammed & Yimam, 2021; Pei et al, 2020; Yang et al, 2019; Yue et al, 2018). SPI is more suitable for meteorological drought (Wei et al, 2021), while RDI is more effective in monitoring agricultural drought (Yue et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variability and trends of droughts in the Mediterranean coastal region of Türkiye

Kesgin,

Yaldız,

Güçlü

2024

Intl Journal of Climatology

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Drought, defined as the period when water availability considerably remains below normal levels for a certain time period, has devastating social, economic and environmental impacts. It is significant to closely monitor the temporal and spatial variability of drought in order to implement policies to mitigate the drought risk and ensure the sustainable management of water resources. In this study, three different drought indices, standard precipitation index (SPI), standardized precipitation‐evapotranspiration index (SPEI) and reconnaissance drought index (RDI), are calculated for 3‐, 6‐ and 12‐month time scales from the precipitation and temperature data measured in 11 meteorological observation stations within the Mediterranean coastal region of Türkiye during 1972–2020. Initially, two absolute homogeneity tests were applied, namely the standard normal homogeneity test (SNHT) and the Pettitt test, to detect abrupt changes in drought index time series. Then, trend analysis was carried out with the innovative trend analysis (ITA) and improved visualization of ITA (IV‐ITA) methods to determine the temporal variation of the drought in the region. A graphical representation is developed for the drought classifications based on IV‐ITA. As a result of the SNHT and Pettitt test, significant change points were found at a 5% significance level in 91.92% and 85.86% of all indices, respectively. In both tests, breaks were detected at similar times (between 1972 and 1974) at Marmaris station, while at Alanya station, changes were found between 1972 and 1973 for the SNHT and in 2008 for the Pettitt test. The trend differences between extreme conditions (extremely dry and wet) decreased with an increase in time scale, distinctively. The ITA trends were almost identical for 3‐month time scales, and they started to differ with time scale increases. Particularly, the presence of negative differences in data points contributes to the augmentation of drought periods, despite a few instances of extreme cases and minor fluctuations that can also be observed in IV‐ITA. The findings obtained from the study are expected to provide valuable information about the recent shifts in drought in the Mediterranean basin.

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“…CHIRPS is one the satellite-based precipitation estimation systems that integrates ground-based observations with long-term infrared remote sensing data [ [26] , [27] , [28] , [29] , [30] ]. This makes it long enough (Over 30 years) to be used for both drought monitoring [ 31 , 32 ] and other climatological applications [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal monitoring of drought using satellite precipitation products: The case of Borena agro-pastoralists and pastoralists regions, South Ethiopia

Dejene

Moisa

Gemeda

2023

Heliyon

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Spatiotemporal analysis of drought by CHIRPS precipitation estimates

Cited by 19 publications

References 57 publications

Spatio-Temporal Analysis of Drought in the North-Eastern Coastal Region of Vietnam Using the Standardized Precipitation Index (SPI)

Spatio-Temporal Analysis of Drought in the North-Eastern Coastal Region of Vietnam Using the Standardized Precipitation Index (SPI)

Spatiotemporal variability and trends of droughts in the Mediterranean coastal region of Türkiye

Spatiotemporal monitoring of drought using satellite precipitation products: The case of Borena agro-pastoralists and pastoralists regions, South Ethiopia

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