Shijie Jiang
National University of Singapore
H-index: 9
Asia-Singapore
Top articles of Shijie Jiang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Identifying potential drivers of land-atmosphere coupling variation under climate change by explainable artificial intelligence | Feini Huang Wei Shangguan Shijie Jiang | 2024/3/7 | |
Compounding drivers amplify the severity of river floods | Shijie Jiang Larisa Tarasova Guo Yu Jakob Zscheischler | 2024/3/7 | |
Distributed hydrological modeling with physics‐encoded deep learning: A general framework and its application in the Amazon | Water Resources Research | Chao Wang Shijie Jiang Yi Zheng Feng Han Rohini Kumar | 2024/4 |
Compounding effects in flood drivers challenge estimates of extreme river floods | Science Advances | Shijie Jiang Larisa Tarasova Guo Yu Jakob Zscheischler | 2024/3/27 |
Identifying drivers of river floods using causal inference | EGU General Assembly Conference Abstracts | Peter Miersch Shijie Jiang Oldrich Rakovec Jakob Zscheischler | 2023/5 |
Interpreting Conv-LSTM for spatio-temporal soil moisture prediction in China | Agriculture | Feini Huang Yongkun Zhang Ye Zhang Wei Shangguan Qingliang Li | 2023/4/27 |
Warming and greening exacerbate the propagation risk from meteorological to soil moisture drought | Journal of Hydrology | Yifei Li Shengzhi Huang Hao Wang Qiang Huang Pei Li | 2023/7/1 |
Revealing how precipitation extremes impact river floods in a warming climate with interpretable machine learning | EGU General Assembly Conference Abstracts | Shijie Jiang Jakob Zscheischler | 2023/5 |
Securing drinking water supply in smart cities: an early warning system based on online sensor network and machine learning | AQUA—Water Infrastructure, Ecosystems and Society | Haiyan Lu Ao Ding Yi Zheng Jiping Jiang Jingjie Zhang | 2023/5/1 |
Predicting dynamic riverine nitrogen export in unmonitored watersheds: leveraging insights of AI from data-rich regions | Environmental Science & Technology | Rui Xiong Yi Zheng Nengwang Chen Qing Tian Wei Liu | 2022/6/30 |
Exploring flooding mechanisms and their trends in Europe through explainable AI | EGU General Assembly Conference Abstracts | Shijie Jiang Yi Zheng Jakob Zscheischler | 2022/5 |
Uncovering flooding mechanisms across the contiguous United States through interpretive deep learning on representative catchments | Water Resources Research | Shijie Jiang Yi Zheng Chao Wang Vladan Babovic | 2022/1 |
River flooding mechanisms and their changes in Europe revealed by explainable machine learning | Hydrology and Earth System Sciences | Shijie Jiang Emanuele Bevacqua Jakob Zscheischler | 2022/12/16 |
Identifying Compound Effects of Hydrometeorological Drivers on River Flooding by Explainable Machine Learning | AGU Fall Meeting Abstracts | Shijie Jiang Jakob Zscheischler | 2022/12 |
Toward improved lumped groundwater level predictions at catchment scale: Mutual integration of water balance mechanism and deep learning method | Journal of Hydrology | Hejiang Cai Suning Liu Haiyun Shi Zhaoqiang Zhou Shijie Jiang | 2022/10/1 |
Improving AI system awareness of geoscience knowledge: Symbiotic integration of physical approaches and deep learning | Geophysical Research Letters | Shijie Jiang Yi Zheng Dimitri Solomatine | 2020/7/16 |
Co-Authors
