Jiabo Yin
Biographic Data
| ID | 6927427 |
|---|---|
| NAME | Jiabo Yin |
| GIVEN NAMES | Jiabo |
| FAMILY NAME | Yin |
| SIGNATURE | YIN J |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0002-2305-8729 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Deep learning-constrained projection of global fluvial floods and their socioeconomic implications under global warming
Fluvial floods characterized by either large volume or prolonged duration severely impede the sustainable development of socio-ecological systems, which may intensify with global warming. However, the co-evolution dynamics of joint fluvial flood characteristics and their socioeconomic implications under different global warming targets are poorly understood. Here, we combine a deep learning (DL)-constrained hybrid model, a statistical approach an…
Moisture-modulated heatwaves
Heatwaves stand as one of the most consequential manifestations of global climate change. Their severity intensifies dramatically when extreme temperatures coincide with high humidity, posing compound threats to human health and natural systems. Here, we employ a three-dimensional (latitude × longitude × time) connectivity framework to analyze moisture-modulated heatwaves through daily lethal heat stress indices from 1979 to 2023. We identify 164…
Socio-demographic factors shape mortality risk linked to compound drought-heatwave events under climate change in China
Quantifying the impact of dams on global streamflow over the period of 1985–2014
The number of dams globally has increased dramatically over the past few decades, providing reliable water resources by regulating natural streamflow. However, assessing the impact of dams on natural streamflow at a large scale remains a challenge due to lack of dam storage variation data. Here we analyzed flow regulation by dams from 1985 to 2014 over 153 basins globally using satellite remote sensing data. Two-thirds of global basins are regula…
Understanding compound extreme precipitations preconditioned by heatwaves over China under climate change
Compared with individual heatwaves or storm events, the compound extreme precipitations preconditioned by heatwaves (CHEPs) usually amplify their adverse repercussions on both ecosystems and society. However, little is known about the physical mechanisms of generations, especially considering precipitation types triggered by various factors and synoptic patterns. By classifying extreme precipitations based on duration, we conduct an event-based a…
Global scaling of precipitation extremes using near-surface air temperature and dew point temperature
Global warming has altered the energy budget and water cycle processes of the land–atmosphere system, which has resulted in significant effects on precipitation extremes. Previous studies have identified a hook structure between near-surface temperature and precipitation extremes, in which extremes increase with temperature rises and decline thereafter. However, the underlying physical mechanisms of this association remain poorly understood. In t…
Future socio-ecosystem productivity threatened by compound drought–heatwave events
Annual runoff coefficient variation in a changing environment
Assessing variations in the annual runoff coefficient (RC) on a basin scale is crucial for understanding the hydrological cycle under natural and anthropogenic changes, yet a systematic global assessment remains unexamined from a water-balance perspective. Here, we combine observation-based runoff and precipitation datasets to quantify basin-averaged RC changes in 433 major global river basins during the period 1985–2014. Thereafter, the ratios o…
Climatic control of upper Yangtze River flood hazard diminished by reservoir groups
Over recent decades, concern has grown regarding the effects of climate change and artificial river projects on the variability of river floods. Specifically, it has been demonstrated that the Mississippi River flood hazard has been amplified by river engineering. In contrast, the world’s largest reservoir group with the Three Gorges Reservoir at its core has been built along the upper reaches of the Yangtze River, but the question of whether the…
Evaluation and machine learning improvement of global hydrological model-based flood simulations
A warmer climate is expected to accelerate global hydrological cycle, causing more intense precipitation and floods. Despite recent progress in global flood risk assessment, the accuracy and improvement of global hydrological models (GHMs)-based flood simulation is insufficient for most applications. Here we compared flood simulations from five GHMs under the Inter-Sectoral Impact Model Intercomparison Project 2a (ISIMIP2a) protocol, against thos…
Evaluation and machine learning improvement of global hydrological model-based flood simulations
A warmer climate is expected to accelerate global hydrological cycle, causing more intense precipitation and floods. Despite recent progress in global flood risk assessment, the accuracy and improvement of global hydrological models (GHMs)-based flood simulation is insufficient for most applications. Here we compared flood simulations from five GHMs under the Inter-Sectoral Impact Model Intercomparison Project 2a (ISIMIP2a) protocol, against thos…
Climatic control of upper Yangtze River flood hazard diminished by reservoir groups
Over recent decades, concern has grown regarding the effects of climate change and artificial river projects on the variability of river floods. Specifically, it has been demonstrated that the Mississippi River flood hazard has been amplified by river engineering. In contrast, the world’s largest reservoir group with the Three Gorges Reservoir at its core has been built along the upper reaches of the Yangtze River, but the question of whether the…
Annual runoff coefficient variation in a changing environment
Assessing variations in the annual runoff coefficient (RC) on a basin scale is crucial for understanding the hydrological cycle under natural and anthropogenic changes, yet a systematic global assessment remains unexamined from a water-balance perspective. Here, we combine observation-based runoff and precipitation datasets to quantify basin-averaged RC changes in 433 major global river basins during the period 1985–2014. Thereafter, the ratios o…
Global scaling of precipitation extremes using near-surface air temperature and dew point temperature
Global warming has altered the energy budget and water cycle processes of the land–atmosphere system, which has resulted in significant effects on precipitation extremes. Previous studies have identified a hook structure between near-surface temperature and precipitation extremes, in which extremes increase with temperature rises and decline thereafter. However, the underlying physical mechanisms of this association remain poorly understood. In t…
Future socio-ecosystem productivity threatened by compound drought–heatwave events
Socio-demographic factors shape mortality risk linked to compound drought-heatwave events under climate change in China
Quantifying the impact of dams on global streamflow over the period of 1985–2014
The number of dams globally has increased dramatically over the past few decades, providing reliable water resources by regulating natural streamflow. However, assessing the impact of dams on natural streamflow at a large scale remains a challenge due to lack of dam storage variation data. Here we analyzed flow regulation by dams from 1985 to 2014 over 153 basins globally using satellite remote sensing data. Two-thirds of global basins are regula…
Understanding compound extreme precipitations preconditioned by heatwaves over China under climate change
Compared with individual heatwaves or storm events, the compound extreme precipitations preconditioned by heatwaves (CHEPs) usually amplify their adverse repercussions on both ecosystems and society. However, little is known about the physical mechanisms of generations, especially considering precipitation types triggered by various factors and synoptic patterns. By classifying extreme precipitations based on duration, we conduct an event-based a…
Deep learning-constrained projection of global fluvial floods and their socioeconomic implications under global warming
Fluvial floods characterized by either large volume or prolonged duration severely impede the sustainable development of socio-ecological systems, which may intensify with global warming. However, the co-evolution dynamics of joint fluvial flood characteristics and their socioeconomic implications under different global warming targets are poorly understood. Here, we combine a deep learning (DL)-constrained hybrid model, a statistical approach an…
Moisture-modulated heatwaves
Heatwaves stand as one of the most consequential manifestations of global climate change. Their severity intensifies dramatically when extreme temperatures coincide with high humidity, posing compound threats to human health and natural systems. Here, we employ a three-dimensional (latitude × longitude × time) connectivity framework to analyze moisture-modulated heatwaves through daily lethal heat stress indices from 1979 to 2023. We identify 164…
Environmental Science (9 works) · Geography (8 works) · Geology (7 works) · Climate change (6 works) · Climatology (6 works) · Hydrology and Watershed Management Studies (5 works) · Climate variability and models (4 works) · Ecology (4 works) · Flood Risk Assessment and Management (4 works) · Meteorology (4 works)