A global drought-aridity index: The spatiotemporal standardized precipitation evapotranspiration index

Yu, Hang; Wang, Long; Zhang, Jianlong; Chen, Yuanfang

doi:10.1016/j.ecolind.2023.110484

Cited by 7 publications

(2 citation statements)

References 40 publications

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“…The use of standardized indices has been widely reported in scienti c studies due to their importance and easy interpretation (Rose and Chithra, 2022; Yu et al, 2023). Nevertheless, individualized indices promote conclusions regarding types of speci c situations, such as the one observed in this study (SPImeteorological index and SDI -hydrological index).…”

Section: Correlation Of the Spi And Sdimentioning

confidence: 84%

Extreme hydroclimatic events based on standardized precipitation (SPI) and streamflow drought (SDI) indices in the headwater region of the Paraíba do Sul River, Southeast Brazil: trends and climate variability

Coelho,

Lyra,

Herms

et al. 2024

Preprint

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The aim of this work were to i) assess the trends and climate variability of the Standardized Precipitation Index (SPI) and Streamflow Drought Index (SDI); ii) identify the relationship between SPI and SDI vs the modes of climate variability ruled by the SST of the Pacific (Tropical and North) and Atlantic (North and South) and, iii) evaluate the ability of the SPI to characterize hydrological extremes (dry/wet) compared to the SDI in the headwaters of the Paraíba do Sul river, southeast Brazil. Long-time monthly rainfall and streamflow series from 1972 to 2016 (45 years) were used. No significant trend (modified Mann-Kendall) was observed for the SPI and SDI annual series. The series showed a higher frequency of positive SPI and SDI between 1972 and 1993 (period 1) and negative ones between 1994 and 2016 (period 2). These decadal patterns were related to the occurrence of the warm Pacific Decadal Oscillation (PDO), with a greater frequency of El-Niño in period 1, and more significant occurrence and intensity of La-Niña in period 2. In the case of the extremes of the SPI and SDI, the most remarkable event of dry (wet) years coincided with years with a negative (neutral or positive) Atlantic Interhemispheric SST Gradient (AITG). Significant correlations exist between the SPI and SDI series at seasonal, semi-annual, and annual scales. However, years with extreme SPI did not necessarily coincide with the SDI, with the opposite also being observed. Therefore, the SPI should be used cautiously for monitoring dry/wet hydrological events.

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Section: Correlation Of the Spi And Sdimentioning

confidence: 84%

Extreme hydroclimatic events based on standardized precipitation (SPI) and streamflow drought (SDI) indices in the headwater region of the Paraíba do Sul River, Southeast Brazil: trends and climate variability

Coelho,

Lyra,

Herms

et al. 2024

Preprint

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show abstract

“…[44][45][46][47][48]. However, only the SPEI and SPI are commonly utilized for drought expression on multiple time scales [49][50][51]. Compared to the SPI, the SPEI considers the key contribution of temperature change in drought monitoring and is inferred from precipitation and temperatures in the formalism of water balance [52].…”

Section: Introductionmentioning

confidence: 99%

Stronger Cumulative than Lagged Effects of Drought on Vegetation in Central Asia

Yang,

Zou,

Ding

et al. 2023

Forests

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In the context of global warming, the strength and frequency of drought events are projected to grow in the future, and the onset of drought can have dramatic effects on vegetation growth in terrestrial ecosystems. Central Asia is the largest non-territorial drought area in the world, and the response of vegetation to drought events is extremely sensitive in the area. However, few studies have quantified and compared the vegetation gross primary productivity (GPP) response to the lagged and cumulative effects of drought. In this research, the solar-induced chlorophyll fluorescence GPP and Standardized Precipitation Evaporation Index (SPEI) were used to analyze the time and space patterns of vegetation GPP and the SPEI in Central Asia and to quantify and compare the lagged and cumulative effects of drought on the GPP of various vegetation types. During the period from 2000 to 2018, the general trends of vegetation GPP showed a slight increase in Central Asia, with the ratio of variation being 1.35 g C m−2 y−1 and a spatially decreasing distribution from north to south. SPEI showed a trend of decreasing and then increasing over a period of 19 years, with a slight decreasing (drying) trend and a rate of change of −0.02 y−1, and the overall spatial pattern was drying out from north to south. In 13 months, 72.44% of regional droughts had lagged impacts on vegetation. The maximum correlation coefficients of vegetation and the lagged effectiveness of drought were concentrated in the range of 0.15–0.35, and the high correlation was distributed in southern and northwestern Kazakhstan, which are prairie regions. Of the regions in Central Asia, 75.86% showed cumulative drought effects concentrated at 9–12 months. The maximum correlation coefficients were concentrated in the range of 0.20–0.50, and the high correlation regions were primarily situated in south Kazakhstan and east Uzbekistan. Comparing the correlation coefficients of the lagged effect of vegetation GPP and SPEI with the cumulative effect shows that the cumulative rather than lagged impacts of drought on vegetation cover were found in 86.75% of the regions in Central Asia. This research enhances our comprehension of the influence of drought events on ecosystems in arid regions and has a certain reference value for helping arid region ecosystems to cope with global climate change.

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Spatial and temporal variations of aridity-humidity indices in Montenegro

Luković,

Burić,

Mihajlović

et al. 2024

Theor Appl Climatol

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In this article, we examine the spatial pattern and trend in aridity in Montenegro from 1961 until 2020. We use temperature and precipitation observational records from 18 weather stations to calculate three aridity (climate) indices: the De Martonne aridity index (IDM), the Lang's rain factor (RF), and the Pinna combinative index (IP). On an annual scale, all of these three indices show humid to extreme humid atmospheric conditions in Montenegro. At the seasonal and monthly level, calculations are performed for IDM only due to methodological limitations regarding calculation of RF and IP at the seasonal and monthly scale. It was observed that winter, autumn and spring seasons exhibit very humid to extremely humid conditions Based on IDM, while the summer seasons show semi arid conditions mainly in the coastal parts of Montenegro, and neighboring inland. On the monthly level, the period from September to April characterizes humid climate conditions. The month of May shows less humid conditions, while IDM for June belongs to a category of the Mediterranean type climates. July and August exhibit semi arid conditions. Monthly results further show that IDM for the majority of the country trends negative, thus implying a general tendency towards a drier hydroclimate. Statistically significant negative IDM trends are calculated for April and August. The observed tendencies towards arid climate at the start of the vegetative season in April can significantly cause soil moisture deficit. Increasingly arid August conditions of generally high temperature and low water availability can be more detrimental to vegetation and potentially increase the risk of more frequent droughts and wildfires in Montenegro.

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A global drought-aridity index: The spatiotemporal standardized precipitation evapotranspiration index

Cited by 7 publications

References 40 publications

Extreme hydroclimatic events based on standardized precipitation (SPI) and streamflow drought (SDI) indices in the headwater region of the Paraíba do Sul River, Southeast Brazil: trends and climate variability

Extreme hydroclimatic events based on standardized precipitation (SPI) and streamflow drought (SDI) indices in the headwater region of the Paraíba do Sul River, Southeast Brazil: trends and climate variability

Stronger Cumulative than Lagged Effects of Drought on Vegetation in Central Asia

Spatial and temporal variations of aridity-humidity indices in Montenegro

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