Understanding the interactions between meteorological and soil moisture drought over Indian region

Das, Prabir Kumar; Chandra, Sushant; Das, Dilip Kumar; Midya, S. K.; Paul, Arati; Bandyopadhyay, Samir Kumar; Dadhwal, V. K.

doi:10.1007/s12040-020-01460-7

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…Previous study has shown that significant mutations in time series means can be detected using this method when the exact timing of the mutation is unknown (Das et al 2020). In this study, the nonparametric Pettitt test is used to analyze the trend of the PC after EOF decomposition, and explore the mutation points of drought and wetness tendency.…”

Section: Pettitt Mutation Testmentioning

confidence: 99%

Analysis of drought characteristics and comparison of historical typical years with 2022 drought in the Yangtze River Basin

Xing,

Zhao,

Sun

et al. 2023

Nat Hazards

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In 2022, the Yangtze River Basin (YRB) suffered an unprecedented drought event with long duration, large-scale and high severity, catastrophic impacting on agriculture, ecology, industrial production and economic life. In order to investigate the evolution characteristics of the drought event in 2022, and discuss the similarities and differences with its similar historical drought years, this study focused the droughts in July-October (summer and autumn), used the Standardized Precipitation Evapotranspiration Index (SPEI) as drought indicator, and applied the methods of Empirical Orthogonal Function (EOF), Pettitt test, and wavelet analysis to explore the drought spatial and temporal distribution pattern, the drought mutability, and the drought periodicity in YRB during 1951-2022. By utilizing the clustering method, we obtained the similar drought years with 2022 drought spatial pattern. The results shown that the drought in the YRB in 2022 mainly presented a "basin-wide" drought spatial distribution pattern based on the first mode of EOF. The main periodicity of the "basin-wide" drought spatial distribution pattern was about 50 years. The July drought distribution patterns in 1952, 1953 and 2006 were most similar to that in 2022, however, the drought evolution patterns were obviously different after August.By comparison, the YRB suffered from the largest drought impacted area in 2022, and the impacted area proportions of severe and extreme drought increased at the fastest speed.

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Section: Pettitt Mutation Testmentioning

confidence: 99%

Analysis of drought characteristics and comparison of historical typical years with 2022 drought in the Yangtze River Basin

Xing,

Zhao,

Sun

et al. 2023

Nat Hazards

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“…Therefore, some drought indicators, such as rainfall, soil moisture, and runoff, are often used to assess drought conditions. The commonly used indicators include the SPI, SPEI, and standardized soil moisture Index (SSMI) [47][48][49]. The SPI is a reference drought index recommended by the World Meteorological Organization [50].…”

Section: Calculation Of the Spimentioning

confidence: 99%

Spatio-Temporal Characteristics of Drought Events and Their Effects on Vegetation: A Case Study in Southern Tibet, China

Cheng

Guo

et al. 2020

Remote Sensing

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Frequent droughts in a warming climate tend to induce the degeneration of vegetation. Quantifying the response of vegetation to variations in drought events is therefore crucial for evaluating the potential impacts of climate change on ecosystems. In this study, the standardized precipitation index (SPI) was calculated using the precipitation data sourced from the China Meteorological Forcing Dataset (CMFD), and then the drought events in southern Tibet from 1982 to 2015 were identified based on the SPI index. The results showed that the frequency, severity, and intensity of drought events in southern Tibet decreased from 1982 to 2015, and the highest frequency of drought was found between 1993 and 2000. To evaluate the impact of drought events on vegetation, the vegetation characteristic indexes were developed based on the normalized difference vegetation index (NDVI) and the drought characteristics. The assessment of two drought events showed that the alpine grasslands and alpine meadows had high vegetation vulnerability (AI). The assessment of multiple drought events showed that responses of vegetation to drought were spatially heterogeneous, and the total explain rate of environmental factors to the variations in AI accounted for 40%. Among the many environmental factors investigated, the AI were higher at middle altitudes (2000–3000 m) than low altitudes (<2000 m) and high altitudes (3000–4500 m). Meanwhile, the silt soil fraction in the upper soil layer (0–30 cm) had the greatest positive correlation with AI, suggesting that areas with a high silt soil fraction were more sensitive to drought. The relative contribution rates of environmental factors were predicted by a multivariate linear regression (MLR) model. The silt soil fraction was found to make the greatest relative contribution (23.3%) to the changes in AI.

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A comprehensive assessment of water storage dynamics and hydroclimatic extremes in the Chao Phraya River Basin during 2002–2020

Abhishek

Kinouchi

Sayama

2021

Journal of Hydrology

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Understanding the interactions between meteorological and soil moisture drought over Indian region

Cited by 4 publications

References 38 publications

Analysis of drought characteristics and comparison of historical typical years with 2022 drought in the Yangtze River Basin

Analysis of drought characteristics and comparison of historical typical years with 2022 drought in the Yangtze River Basin

Spatio-Temporal Characteristics of Drought Events and Their Effects on Vegetation: A Case Study in Southern Tibet, China

A comprehensive assessment of water storage dynamics and hydroclimatic extremes in the Chao Phraya River Basin during 2002–2020

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