Concurrent and dynamical interdependency of compound precipitation and wind speed extremes over India

Atmospheric Research, Journal Year: 2024, Volume and Issue: 304, P. 107389 - 107389

Published: March 31, 2024

Language: Английский

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Predicting compound agricultural drought and hot events using a cascade Modeling framework combining Bayesian model Averaging ensemble with vine copula (CaMBMAViC)

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 642, P. 131901 - 131901

Published: Aug. 24, 2024

Language: Английский

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Isolating the contribution of land cover change to concurrent soil drought and atmospheric aridity events in Loess Plateau, China

CATENA, Journal Year: 2025, Volume and Issue: 250, P. 108740 - 108740

Published: Jan. 30, 2025

Language: Английский

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Increased frequency and severity of global compound dry and heat wave events in a daily scale

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132857 - 132857

Published: Feb. 1, 2025

Language: Английский

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Changes in Compound Extreme Events and Their Impacts on Cropland Productivity in China, 1985–2019

Earth s Future, Journal Year: 2025, Volume and Issue: 13(3)

Published: March 1, 2025

Abstract While the influence of compound extreme events is gaining attention with advancing climate research, variations in their impacts on regional crop production require further exploration. Here, we primarily analyze changes hot‐dry and hot‐wet China from 1985 to 2019, based meteorological observations 686 stations. Then, contributions losses cropland net primary productivity (CNPP) are identified using gradient boosting Shapley additive explanations models. Results indicate that have become increasingly frequent, persistent, severe over past 35 years. With increasing risks events, greater CNPP observed northern regions compared southern regions. Throughout growing season, caused by initially increase, peak summer, then gradually decrease. influenced events. From north south, dominating shift sequentially daytime hot dry day‐night finally nighttime This study explores threats posed provides new insights into China, supporting climate‐adaptive agricultural development.

Language: Английский

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Compound dry and hot extremes: A review and future research pathways for India

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 635, P. 131199 - 131199

Published: April 15, 2024

Language: Английский

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Assessing the impacts of temperature extremes on agriculture yield and projecting future extremes using machine learning and deep learning approaches with CMIP6 data

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 132, P. 104071 - 104071

Published: Aug. 1, 2024

Climate change, particularly extreme weather events, has significantly affected various sectors, including agriculture, human health, water resources, sea levels, and ecosystems. It is anticipated that the intensity, duration, frequency of these extremes will escalate in future. This study aims to discover association between temperature agricultural yield project using machine learning (ML) deep (DL) models with CMIP6 (Coupled Model Intercomparison Project Phase 6) data under two SSPs (Shared Socioeconomic Pathways). A bi-wavelet coherence technique employed investigate association, providing detailed information both time domains for period 1980–2014. Various ML DL are trained tested periods 1985–2004 2005–2014, respectively, gradient boosting chosen projecting based on its superior performance. Mann-Kendall test used trend analysis projected extremes. The results indicate strong negative positive associations TN10p (Cold nights) TN90p (Warm nights), wheat production. Additionally, there a long-term CSDI Spell Duration Indicator) WSDI rice yield. Projected show an increase decrease SSP2-4.5 SSP5-8.5, DTR (Diurnal Temperature Range) at most stations. future stations, exceptions such as Muree station where it decreases during 2025–2049 then increases SSPs. Projections TXn (annual or monthly minimum value daily maximum temp) future, exhibiting lowest close zero, while average around 20 °C Khanpur station. Trend reveals increasing TR20 (Tropical decreasing durations These findings hold implications policymakers stakeholders departments, resources management.

Language: Английский

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Anthropogenic Exacerbation in Dry‐Hot Probability and Consequential Record‐Shattering Droughts in the Middle and Lower Reaches of the Yangtze River

Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(20)

Published: Oct. 24, 2024

Abstract In the year 2019, middle and lower reaches of Yangtze River (MLRYR) experienced an unprecedented summer‐autumn drought (SAD) driven by dry‐hot conditions [high near‐surface air temperatures ( T ) low precipitation P )], causing substantial agricultural economic losses. However, influence anthropogenic climate change (ACC) on these their impacts SAD occurrences remains uncertain. Here, both observations simulations show that ACC‐driven increase led to greater likelihood from August November 1901–2020 in MLRYR. Using self‐calibrating Palmer index (scPDSI) assess severity, we find increasing occurrence (from 33.3% 1901–2000 85.7% 2001–2020) MLRYR associated with more frequent conditions. Under a business‐as‐usual scenario, future association is projected be stronger, exceptional +10% per century. ACC‐induced would elevate events like 2019 event 1.59% (1961–2020) 17.82% (2041–2100). Therefore, effective measures are needed adapt under warming.

Language: Английский

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Remote sensing of climate variability: An introduction

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Jan. 1, 2024

Language: Английский

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Anthropogenic exacerbations of summer-autumn compound dry-hot severity in the middle and lower reaches of the Yangtze River

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132346 - 132346

Published: Nov. 1, 2024

Language: Английский

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