arrow
返回
M

Ming Pan

university of california, san diego

79H指数
487论文数
2.3W被引数
收录论文 127
发表时间
SWOT, Empiricism, and River ModelingSWOT、经验主义和河流模型
err2026-08-31
err0
errOAAI
errColin J. Gleason; Paul D. Bates; Michael T. Durand; Dongmei Feng; Augusto Getirana; Peirong Lin; Hind Oubanas; Tamlin M. Pavelsky; Chaopeng Shen; Laurence C. Smith; Jida Wang; Dai Yamazaki; Yuan Yang; Heejin An; Fiona B. Bennitt; Stephen J. Chuter; Chenqi Fang; Jonathan A. Flores; Elisa Friedmann; Sreelekha Jarugula; Haoyu Ji; Theodore Langhorst; Di Long; Dung T. Vu; Ziyun Yin; George H. Allen; Konstantinos M. Andreadis; Sylvain Biancamaria; Casey M. Brown; Cédric H. David; Ming Pan; Jeffrey C. Neal; Stephen P. Coss; Merritt E. Harlan; Peyman Saemian; Travis T. Simmons; Nikki Tebaldi; M. J. Tourian
err分享
err收藏
Comprehensive Global Assessment of 24 Gridded Precipitation Datasets Across 18 428 Catchments Using Hydrological Modeling利用水文模型对18 428个流域中的24个网格化降水数据集进行全球综合评估
err2026-06-03
err0
errOAAI
errAther Abbas; Yuan Yang; Ming Pan; Yves Tramblay; Chaopeng Shen; Haoyu Ji; Solomon H. Gebrechorkos; Florian Pappenberger; JongCheol Pyo; Dapeng Feng; George Huffman; Phu Nguyen; Christian Massari; Luca Brocca; Jackson Tan; Hylke E. Beck
err分享
err收藏
Knowledge-guided graph machine learning for spatially distributed prediction of daily discharge and nitrogen export dynamics知识引导的图机器学习方法用于空间分布式预测日径流量和氮素输出动态
err2026-02-23
err0
PREAI
errJie Yang; Bin Peng; Yaji Wang; Zewei Ma; Qianyu Zhao; Licheng Liu; Xiaowei Jia; Vipin Kumar; Ming Pan; Mengqi Jia; Xiang Li; John Nieber; Zhenong Jin; Kaiyu Guan
err分享
err收藏
Physics-Informed, Differentiable Hydrologic Models for Capturing Unseen Extreme Events物理信息、可微分的水文模型用于捕捉未观测到的极端事件
err2026-02-11
err0
errOAAI
errYalan Song; Kamlesh Sawadekar; Jonathan M. Frame; Ming Pan; Martyn P. Clark; Wouter J. M. Knoben; Andrew W. Wood; Kathryn E. Lawson; Trupesh Patel; Chaopeng Shen
err分享
err收藏
Soil oxygen dynamics: a key mediator of tile drainage impacts on coupled hydrological, biogeochemical, and crop systems
err2025-11-18
err0
errOAAI
errMa, Zewei; Guan, Kaiyu; Peng, Bin; Zhou, Wang; Grant, Robert; Tang, Jinyun; Sivapalan, Murugesu; Pan, Ming; Li, Li; Jin, Zhenong
err分享
err收藏
Improving streamflow simulation through machine learning-powered data integration and its potential for forecasting in the Western US
err2025-10-21
err0
errOAAI
errYang, Yuan; Pan, Ming; Feng, Dapeng; Xiao, Mu; Dixon, Taylor; Hartman, Robert; Shen, Chaopeng; Song, Yalan; Sengupta, Agniv; Delle Monache, Luca; Ralph, F. Martin
err分享
err收藏
Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning由嵌入物理的学习揭示的全球不同水文响应模式与趋势
err2025-10-15
err0
errOAAI
errHaoyu Ji; Yalan Song; Tadd Bindas; Chaopeng Shen; Yuan Yang; Ming Pan; Jiangtao Liu; Farshid Rahmani; Ather Abbas; Hylke Beck; Kathryn Lawson; Yoshihide Wada
err分享
err收藏
err分享
err收藏
Probabilistic Diffusion Models Advance Extreme Flood Forecasting概率扩散模型推进极端洪水预报
err2025-07-31
err0
errOAAI
errZhigang Ou; Congyi Nai; Baoxiang Pan; Yi Zheng; Chaopeng Shen; Peishi Jiang; Xingcai Liu; Qiuhong Tang; Wenqing Li; Ming Pan
err分享
err收藏
Record-breaking 2023 marine heatwaves创纪录的2023年海洋热浪
errScience
IF45.8
err2025-07-24
err0
PREAI
errTianyun Dong; Zhenzhong Zeng; Ming Pan; Dashan Wang; Yuntian Chen; Lili Liang; Shuai Yang; Yubin Jin; Shuxin Luo; Shijing Liang; Xiaowen Huang; Dongzhi Zhao; Alan D. Ziegler; Deliang Chen; Laurent Z. X. Li; Tianjun Zhou; Dongxiao Zhang
err分享
err收藏
An upscaling approach for estimating field-level irrigation water use through the Budyko framework基于Budyko框架的田间尺度灌溉用水量估算的尺度提升方法
err2025-06-27
err0
PREAI
errJingwen Zhang; Kaiyu Guan; Murugesu Sivapalan; Chongya Jiang; Ming Pan; Bin Peng; Wang Zhou; Trenton E. Franz; Xiaohong Chen; Kairong Lin; Zejun Li
err分享
err收藏
Improving differentiable hydrologic modeling with interpretable forcing fusion改进可微分水文建模的可解释性强制融合
err2025-06-06
err0
PREAI
errSawadekar, Kamlesh; Song, Yalan; Pan, Ming; Beck, Hylke; McCrary, Rachel; Ullrich, Paul; Lawson, Kathryn; Shen, Chaopeng
err分享
err收藏
Deep dive into hydrologic simulations at global scale: harnessing the power of deep learning and physics-informed differentiable models (δHBV-globe1.0-hydroDL)
err2024-09-26
err4
errOAAI
errFeng, Dapeng; Beck, Hylke; de Bruijn, Jens; Sahu, Reetik Kumar; Satoh, Yusuke; Wada, Yoshihide; Liu, Jiangtao; Pan, Ming; Lawson, Kathryn; Shen, Chaopeng
err分享
err收藏