From historical to future scenarios: A deep learning and dynamical detection framework for compound drought and heatwave events

No abstract is available for this paper.

• Publication year

  2026

• Venue

  Expert systems with applications

• Publication date

  2026-04-01

• Fields of study

  Computer Science, Environmental Science

• Identifiers
  DOI 10.1016/j.eswa.2026.131105
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity

  2025cited by this paper
• Global emergence of unprecedented lifetime exposure to climate extremes

  2025cited by this paper
• Hazard assessment of compound drought and heat events on summer maize from agricultural and meteorological perspectives

  2025cited by this paper
• Global droughts in a warming climate: Evaluation of SPI and SPEI under 1.5 , 2 , and 3 C global warming

  2025cited by this paper
• Optimizing the multi-model ensemble of CMIP6 GCMs for climate simulation over Bangladesh

  2025cited by this paper
• Elucidating diverse population exposure to compound drought and heatwave events from two meteorological drought indices (SPI and SPEI)

  2025cited by this paper
• Extreme drought-heatwave exacerbates water quality deterioration in China

  2025cited by this paper
• Performance of CMIP6 Models in Capturing Summer Maximum Temperature Variability over China

  2025cited by this paper
• A Review of Data for Compound Drought and Heatwave Stress Impacts on Crops: Current Progress, Knowledge Gaps, and Future Pathways

  2025cited by this paper
• Key local atmospheric processes of the heat extreme over the middle-lower Yangtze River basin in August 2022

  2025cited by this paper
• Projected increase in global compound agricultural drought and hot events under climate change

  2025cited by this paper
• Deep learning-based bias correction of ISMR simulated by GCM

  2024cited by this paper
• Multi-Model Ensemble Machine Learning Approaches to Project Climatic Scenarios in a River Basin in the Pyrenees

  2024cited by this paper
• Spatiotemporal dependence of compound drought–heatwave and fire activity in China

  2024cited by this paper
• Conditional diffusion models for downscaling & bias correction of Earth system model precipitation

  2024cited by this paper
• Projected changes of compound droughts and heatwaves in China under 1.5 °C, 2 °C, and 3 °C of global warming

  2024cited by this paper
• Sensitivity of Standardized Precipitation and Evapotranspiration Index (SPEI) to the choice of SPEI probability distribution and evapotranspiration method

  2024cited by this paper
• Anthropogenic climate change doubled the frequency of compound drought and heatwaves in low-income regions

  2024cited by this paper
• Observations Over a Century Underscore an Increasing Likelihood of Compound Dry‐Hot Events in China

  2024cited by this paper
• Observed Changes and Projected Risks of Hot-Dry/Hot-Wet Compound Events in China

  2024cited by this paper
• Substantial increase in future land exposure to compound droughts and heatwaves in China dominated by climate change

  2024cited by this paper
• Socio-demographic factors shape mortality risk linked to compound drought-heatwave events under climate change in China

  2024cited by this paper
• Surging compound drought–heatwaves underrated in global soils

  2024cited by this paper
• A novel statistical framework of drought projection by improving ensemble future climate model simulations under various climate change scenarios

  2024cited by this paper
• Multivariate bias correction and downscaling of climate models with trend-preserving deep learning

  2024cited by this paper
• Global Assessment of Compound Climate Extremes and Exposures of Population, Agriculture, and Forest Lands Under Two Climate Scenarios

  2024cited by this paper
• Monthly climate prediction using deep convolutional neural network and long short-term memory

  2024cited by this paper
• The Unprecedented 2023 North China Heatwaves and Their S2S Predictability

  2024cited by this paper
• Projected population exposure to heatwaves in Xinjiang Uygur autonomous region, China

  2024cited by this paper
• Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6

  2024cited by this paper
• Impacts of record-breaking compound heatwave and drought events in 2022 China on vegetation growth

  2024cited by this paper
• Future Amplification of Multivariate Risk of Compound Drought and Heatwave Events on South Asian Population

  2023cited by this paper
• Historical evaluation and future projections of compound heatwave and drought extremes over the conterminous United States in CMIP6

  2023cited by this paper
• Contrasting impacts of dry versus humid heat on US corn and soybean yields

  2023cited by this paper
• Downscaling CORDEX Through Deep Learning to Daily 1 km Multivariate Ensemble in Complex Terrain

  2023cited by this paper
• How Unusual Is the 2022 European Compound Drought and Heatwave Event?

  2023cited by this paper
• Intensification of heatwaves in China in recent decades: Roles of climate modes

  2023cited by this paper
• Climate change will accelerate the high-end risk of compound drought and heatwave events

  2023cited by this paper
• The role of climate change and urban development on compound dry-hot extremes across US cities

  2023cited by this paper
• Global cropland exposure to extreme compound drought heatwave events under future climate change

  2023cited by this paper
• Deep Learning Forecast Uncertainty for Precipitation over Western US

  2023cited by this paper
• Agricultural risk assessment of compound dry and hot events in China

  2023cited by this paper
• Global concurrent climate extremes exacerbated by anthropogenic climate change

  2023cited by this paper
• Identification and Analysis of Heatwave Events Considering Temporal Continuity and Spatial Dynamics

  2023cited by this paper
• Developing a novel framework to re-examine half a century of compound drought and heatwave events in mainland China.

  2023cited by this paper
• On deep learning-based bias correction and downscaling of multiple climate models simulations

  2022cited by this paper
• The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble

  2022cited by this paper
• Improving multiple model ensemble predictions of daily precipitation and temperature through machine learning techniques

  2022cited by this paper
• Fine-Grained Climate Classification for the Qaidam Basin

  2022cited by this paper
• High Sensitivity of Compound Drought and Heatwave Events to Global Warming in the Future

  2022cited by this paper
• Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts

  2022cited by this paper
• Deep Learning for Bias‐Correcting CMIP6‐Class Earth System Models

  2022cited by this paper
• Projections of precipitation over China based on CMIP6 models

  2021cited by this paper
• Learning to Correct Climate Projection Biases

  2021cited by this paper
• The Study on Compound Drought and Heatwave Events in China Using Complex Networks

  2021cited by this paper
• Spatial and Temporal Variation Characteristics of Heatwaves in Recent Decades over China

  2021cited by this paper
• Future changes in precipitation extremes across China based on CMIP6 models

  2021cited by this paper
• Projection of climate extremes in China, an incremental exercise from CMIP5 to CMIP6.

  2021cited by this paper
• Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China

  2021cited by this paper
• Amplified intensity and duration of heatwaves by concurrent droughts in China

  2021cited by this paper
• NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks

  2021cited by this paper
• Testing for differences between two distributions in the presence of serial correlation using the Kolmogorov–Smirnov and Kuiper's tests

  2021cited by this paper
• Improving China’s summer precipitation prediction in 2020 by observational constrained bias correction

  2021cited by this paper
• Deep Learning for Daily Precipitation and Temperature Downscaling

  2021cited by this paper
• CMIP6 projects less frequent seasonal soil moisture droughts over China in response to different warming levels

  2021cited by this paper
• Projection of future drought and extreme events occurrence in Goodwater Creek Experimental Watershed, Midwestern US

  2021cited by this paper
• Bias Correction and Trend Analysis of Temperature Data by a High-Resolution CMIP6 Model over a Tropical River Basin

  2021cited by this paper
• CMIP6 Evaluation and Projection of Temperature and Precipitation over China

  2021cited by this paper
• Skilful precipitation nowcasting using deep generative models of radar

  2021cited by this paper
• Temperature dataset of CMIP6 models over China: evaluation, trend and uncertainty

  2021cited by this paper
• Increase in Compound Drought and Heatwaves in a Warming World

  2020cited by this paper
• Changes in compound drought and hot extreme events in summer over populated eastern China

  2020cited by this paper
• Regional quantile delta mapping method using regional frequency analysis for regional climate model precipitation

  2020cited by this paper
• Evaluation of CMIP6 for historical temperature and precipitation over the Tibetan Plateau and its comparison with CMIP5

  2020cited by this paper
• Assessment of CMIP6 and CMIP5 model performance for extreme temperature in China

  2020cited by this paper
• Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs

  2020cited by this paper
• Projection of Future Heat Waves in the United States. Part I: Selecting a Climate Model Subset

  2020cited by this paper
• Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms

  2020cited by this paper
• Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara, Turkey

  2020cited by this paper
• A new two-stage multivariate quantile mapping method for bias correcting climate model outputs

  2019cited by this paper
• Concurrent 2018 Hot Extremes Across Northern Hemisphere Due to Human‐Induced Climate Change

  2019cited by this paper
• Identification of the trends associated with the SPI and SPEI indices across Ankara, Turkey

  2019cited by this paper
• Future climate risk from compound events

  2018cited by this paper
• Improved EOF-based bias correction method for seasonal forecasts and its application in IAP AGCM4.1

  2018cited by this paper
• A method to preserve trends in quantile mapping bias correction of climate modeled temperature

  2017cited by this paper
• A new method of multi‐model ensemble to improve the simulation of the geographic distribution of the Köppen–Geiger climatic types

  2017cited by this paper
• Changes of effective temperature and cold/hot days in late decades over China based on a high resolution gridded observation dataset

  2017cited by this paper
• Bias correction of global and regional simulated daily precipitation and surface mean temperature over Southeast Asia using quantile mapping method

  2017cited by this paper
• Evaluation of global climate models for downscaling applications centred over the Tibetan Plateau

  2017cited by this paper
• A climate model projection weighting scheme accounting for performance and interdependence

  2017cited by this paper
• Severe summer heatwave and drought strongly reduced carbon uptake in Southern China

  2016cited by this paper
• Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?

  2015cited by this paper
• Deep Residual Learning for Image Recognition

  2015cited by this paper
• Improved Bias Correction Techniques for Hydrological Simulations of Climate Change

  2015cited by this paper
• The 2010 spring drought reduced primary productivity in southwestern China

  2012cited by this paper
• Probabilistic Projections of Climate Change over China under the SRES A1B Scenario Using 28 AOGCMs

  2011cited by this paper
• Quantile regression neural networks: Implementation in R and application to precipitation downscaling

  2011cited by this paper
• Research on the Heat Wave Index

  2011cited by this paper
• Summarizing multiple aspects of model performance in a single diagram

  2001cited by this paper

• Spatiotemporal Evolution and Influencing Factors of Air Pollutants in the Three Major Urban Agglomerations of the Yellow River Basin

  2026cites this paper