
Member Since 1986
Yun Duan
Professor, Hohai University
AGU Research
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Expressing Gratitude to Reviewers: A Message From the Editors of Reviews of Geophysics for 2024
REVIEWS OF GEOPHYSICS
05 march 2025
Qingyun Duan, Valerio Acocella, Annmarie G. Carlto...
On behalf of the authors and readers of Reviews of Geophysics (RoG), the American Geophysical Union, and the broader scientific community, the edit...
Diffusion-based Precipitation Probabilistic Downscaling
ADVANCING PRECIPITATION PREDICTIONS WITH PHYSICAL MODELS AND ARTIFICIAL INTELLIGENCE I POSTER
atmospheric sciences | 13 december 2024
Wentao Li, Baoxiang Pan, Qingyun Duan
Accurate precipitation estimation is important to the forecasting and prevention of water-related disasters and water resource management. Due to the ...
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Latent Diffusion Model for Quantitative Precipitation Estimation and Forecast at km Scale
MACHINE LEARNING AND OTHER NOVEL TECHNIQUES IN ATMOSPHERIC AND ENVIRONMENTAL SCIENCES: APPLICATION AND DEVELOPMENT I ORAL
atmospheric sciences | 12 december 2024
Weidong Li, Tiejian Li, Baoxiang Pan, congyi nai, ...
Numerical weather prediction models often struggle to accurately estimate precipitation processes at very fine scales, due to resolution limits and di...
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Multi-level Model Tuning and Online Switching Strategy for Surrogate Modeling-based Optimization
DIAGNOSTICS, SENSITIVITY, AND UNCERTAINTY ANALYSIS OF EARTH AND ENVIRONMENTAL MODELS I POSTER
hydrology | 09 december 2024
Mengtian WU, Qingyun Duan
Surrogate modeling-based optimization is a preferred approach for tackling computationally expensive problems caused by running hydrological models th...
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Impacts of Different Satellite‐Based Precipitation Signature Errors on Hydrological Modeling Performance Across China
EARTH'S FUTURE
23 november 2024
Chiyuan Miao, Jiaojiao Gou, Jinlong Hu, Qingyun Du...
The quasi‐global availability of satellite‐based precipitation products (SPPs) holds significant potential for improving hydrological m...
Learning Distributed Parameters of Land Surface Hydrologic Models Using a Generative Adversarial Network
WATER RESOURCES RESEARCH
06 july 2024
Ruochen Sun, Baoxiang Pan, Qingyun Duan
Land surface hydrologic models adeptly capture crucial terrestrial processes with a high level of spatial detail. Typically, these models incorpora...
Expressing Gratitude to Reviewers: A Message From the Editors of Reviews of Geophysics for 2023
REVIEWS OF GEOPHYSICS
24 april 2024
Qingyun Duan, Valerio Acocella, Annmarie G. Carlto...
On behalf of the authors and readers of Reviews of Geophysics (RoG), the American Geophysical Union, and the broader scientific community, the edit...
Land Data Assimilation: Harmonizing Theory and Data in Land Surface Process Studies
REVIEWS OF GEOPHYSICS
19 march 2024
Xin Li, Feng Liu, Chunfeng Ma, Jinliang Hou, Dongh...
Data assimilation plays a dual role in advancing the “scientific” understanding and serving as an “engineering tool” for th...