Comprehensive propagation characteristics between paired meteorological and hydrological drought events: Insights from various underlying surfaces DOI
Junxu Chen, Yunjiang Fan, Yongyong Zhang

et al.

Atmospheric Research, Journal Year: 2023, Volume and Issue: 299, P. 107193 - 107193

Published: Dec. 19, 2023

Language: Английский

Spatiotemporal characterization of meteorological drought and rainfall variation during El Niño/La Niña event over Bundelkhand region of India DOI Creative Commons
Vaibhav Yadav, R. V. Galkate,

V.K. Chandola

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(5)

Published: May 7, 2025

Abstract This study analyzes the relationship between El Niño-Southern Oscillation (ENSO) and rainfall variability in Bundelkhand region using Oceanic Niño Index (Niño 3.4 Index) for period 1950–2022. Drought monitoring was conducted Standardized Precipitation (SPI) to assess impact of ENSO on regional drought conditions. Results indicate that years correspond a decline rainfall, with weak moderate events leading deficits − 38.62 mm 21.44 mm, respectively, while strong experienced significant reduction 128.8 mm. Conversely, La Niña is inconsistent, showing positive anomaly 66.89 resulted mixed effects, anomalies 17.59 56.72 respectively. Spatiotemporal analysis further revealed conditions persisted during 1973 2020, highlighting region’s unique response events. These findings emphasize need localized climate assessments, as large-scale trends do not consistently predict patterns region. provides valuable insights mitigation early warning strategies

Language: Английский

Citations

0

Exploring the combined effects of drought and drought-flood abrupt alternation on vegetation using interpretable machine learning model and r-vine copula function DOI

Lulu Xie,

Yi Li, Ziya Zhang

et al.

Agricultural and Forest Meteorology, Journal Year: 2025, Volume and Issue: 370, P. 110568 - 110568

Published: May 8, 2025

Language: Английский

Citations

0

A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis DOI Creative Commons
Zhaoqiang Zhou, Yibo Ding, Yiyang Zhao

et al.

Environmental Research Letters, Journal Year: 2023, Volume and Issue: 18(10), P. 104046 - 104046

Published: Sept. 28, 2023

Abstract Correlation analysis is the common method to evaluate relationship between two variables; however, it may sometimes cause spurious correlations. Specifically, in field of hydrometeorology, with impacts climate change and human activities, correlation difficult identify true variables, thus, causality should be adopted instead. This study analyzed causal meteorological drought hydrological different climatic regions China by using convergent cross mapping (CCM). We improved identification CCM convergence coefficient variation applied large-scale hydrometeorology. The results were compared, applicability was explored. revealed that: In Southeast China, both large. Northeast central Qinghai–Tibet Plateau, small, but view correlation, introducing can better explain drought, especially areas snowmelt runoff. Overall, provide valuable information from time series hydrometeorology has a wide range application values. However, cannot positive or negative variables. Therefore, when analyzing advantages methods given full play.

Language: Английский

Citations

9

The Impact of Climatic Conditions, Human Activities, and Catchment Characteristics on the Propagation From Meteorological to Agricultural and Hydrological Droughts in China DOI
Xing Cheng, Yuyue Xu, Jianli Chen

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2023, Volume and Issue: 128(24)

Published: Dec. 26, 2023

Abstract Droughts are one of the most frequent and destructive natural disasters worldwide. In past decades, drought events in China caused severe socio‐economic losses. To better predict manage droughts, spatiotemporal characteristics three types droughts propagation time (PT) from meteorological to agricultural hydrological during 1982–2014 were analyzed based on indices, while causes discussed. The results showed that exhibited an insignificant trend. Agricultural mainly aggravated northeastern central regions. And long‐lasting exacerbated areas. speed was extremely rapid (1–2 months) southeast China, relationships among close (correlation coefficient/ R > 0.6). slower (6–8 China. northwest association between weak ( < 0.4). Climatic conditions (especially temperature) played a dominant role explaining 63.3% 52.6% variations PT, respectively. Urbanization, activities, elevation, vegetation contributed droughts. Reservoirs, also affected by regulating processes. These findings vital significance prediction, warning, management different

Language: Английский

Citations

9

Comprehensive propagation characteristics between paired meteorological and hydrological drought events: Insights from various underlying surfaces DOI
Junxu Chen, Yunjiang Fan, Yongyong Zhang

et al.

Atmospheric Research, Journal Year: 2023, Volume and Issue: 299, P. 107193 - 107193

Published: Dec. 19, 2023

Language: Английский

Citations

8