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D

David John Gagne

university of washington seattle

29H指数
172论文数
3.6K被引数
收录论文 27
发表时间
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Data-Driven Probabilistic Air-Sea Flux Parameterization数据驱动的概率海洋-大气通量参数化
errGeophysical Research Letters
IF4.6
err2026-03-19
err0
errOAAI
errJiarong Wu; Pavel Perezhogin; David John Gagne; Brandon G. Reichl; Aneesh C. Subramanian; Elizabeth J. Thompson; Laure Zanna
err分享
err收藏
Improving Medium-Range Severe Weather Prediction through Transformer Postprocessing of AI Weather Forecasts
errArtificial Intelligence for the Earth Systems
IF0
err2026-01-01
err1
PREAI
errHua, Zhanxiang; Sobash, Ryan A.; Gagne II, David John; Sha, Yingkai; Anderson-Frey, Alexandra
err分享
err收藏
Improving AI Weather Prediction Models Using Global Mass and Energy Conservation Schemes使用全球质量和能量守恒方案改进AI天气预测模型
errJournal of Advances in Modeling Earth Systems
IF4.6
err2025-11-03
err0
errOAAI
errYingkai Sha; John S. Schreck; William Chapman; David John Gagne II
err分享
err收藏
Investigating the Use of Terrain-Following Coordinates in AI-Driven Precipitation Forecasts研究地形跟随坐标在AI驱动降水预报中的应用
errGeophysical Research Letters
IF4.6
err2025-10-16
err0
errOAAI
errYingkai Sha; John S. Schreck; William Chapman; David John Gagne II
err分享
err收藏
Uncertainty quantification of wind gust predictions in the northeast United States: An evidential neural network and explainable artificial intelligence approach美国东北部阵风预测的不确定性量化：一种基于证据的神经网络和可解释人工智能方法
errEnvironmental Modelling & Software
IF4.6
err2025-06-28
err0
PREAI
errIsrat Jahan; John S. Schreck; David John Gagne; Charlie Becker; Marina Astitha
err分享
err收藏
(Re)Conceptualizing trustworthy AI: A foundation for change(重新) 概念化值得信赖的人工智能: 变革的基础
errartificial intelligence review
IF4.6
err2025-05-01
err0
errOAAI
errWirz, Christopher D.; Demuth, Julie L.; Bostrom, Ann; Cains, Mariana G.; Ebert-Uphoff, Imme; Gagne II, David John; Schumacher, Andrea; Mcgovern, Amy; Madlambayan, Deianna
err分享
err收藏
Pushing the frontiers in climate modelling and analysis with machine learning用机器学习推动气候建模和分析的前沿
errNATURE CLIMATE CHANGE
IF27.1
err2024-08-23
err5
PREAI
errEyring, Veronika; Collins, William D.; Gentine, Pierre; Barnes, Elizabeth A.; Barreiro, Marcelo; Beucler, Tom; Bocquet, Marc; Bretherton, Christopher S.; Christensen, Hannah M.; Dagon, Katherine; Gagne, David John; Hall, David; Hammerling, Dorit; Hoyer, Stephan; Iglesias-Suarez, Fernando; Lopez-Gomez, Ignacio; Mcgraw, Marie C.; Meehl, Gerald A.; Molina, Maria J.; Monteleoni, Claire; Mueller, Juliane; Pritchard, Michael S.; Rolnick, David; Runge, Jakob; Stier, Philip; Watt-Meyer, Oliver; Weigel, Katja; Yu, Rose; Zanna, Laure
err分享
err收藏
Exploring NWS Forecasters' Assessment of AI Guidance Trustworthiness
errWEATHER AND FORECASTING
IF3.1
err2024-08-01
err3
PREAI
errCains, Mariana G.; Wirz, Christopher D.; Demuth, Julie L.; Bostrom, Ann; Gagne II, David John; McGovern, Amy; Sobash, Ryan A.; Madlambayan, Deianna
err分享
err收藏
Identifying and Categorizing Bias in AI/ML for Earth Sciences识别和分类地球科学AI/ML中的偏见
errBULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
IF5.9
err2024-03-01
err2
errOAAI
errMcgovern, Amy; Bostrom, Ann; Mcgraw, Marie; Chase, Randy J.; Gagne II, David John; Ebert-Uphoff, Imme; Musgrave, Kate D.; Schumacher, Andrea
err分享
err收藏
Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences信任和值得信赖的人工智能: 环境科学中人工智能的研究议程
errRISK ANALYSIS
IF3.3
err2023-11-08
err13
errOAAI
errBostrom, Ann; Demuth, Julie L.; Wirz, Christopher D.; Cains, Mariana G.; Schumacher, Andrea; Madlambayan, Deianna; Bansal, Akansha Singh; Bearth, Angela; Chase, Randy; Crosman, Katherine M.; Ebert-Uphoff, Imme; Gagne, David John; Guikema, Seth; Hoffman, Robert; Johnson, Branden B.; Kumler-Bonfanti, Christina; Lee, John D.; Lowe, Anna; McGovern, Amy; Przybylo, Vanessa; Radford, Jacob T.; Roth, Emilie; Sutter, Carly; Tissot, Philippe; Roebber, Paul; Stewart, Jebb Q.; White, Miranda; Williams, John K.
err分享
err收藏
Lessons learned in coupling atmospheric models across scalesfor onshore and offshore wind energy
errwind energy
IF4.9
err2023-08-16
err11
errOAAI
errHaupt, Sue Ellen; Kosovic, Branko; Berg, Larry K.; Kaul, Colleen M.; Churchfield, Matthew; Mirocha, Jeffrey; Allaerts, Dries; Brummet, Thomas; Davis, Shannon; DeCastro, Amy; Dettling, Susan; Draxl, Caroline; Gagne, David John; Hawbecker, Patrick; Jha, Pankaj; Juliano, Timothy; Lassman, William; Quon, Eliot; Rai, Raj K.; Robinson, Michael; Shaw, William; Thedin, Regis
err分享
err收藏
Trustworthy Artificial Intelligence for Environmental Sciences An Innovative Approach for Summer School
errBULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
IF5.9
err2023-06-01
err1
errOAAI
errMcGovern, Amy; Gagne, David John; Wirz, Christopher D.; Ebert-Uphoff, Imme; Bostrom, Ann; Rao, Yuhan; Schumacher, Andrea; Flora, Montgomery; Chase, Randy; Mamalakis, Antonios; McGraw, Marie; Lagerquist, Ryan; Redmon, Robert J.; Peterson, Taysia
err分享
err收藏
Mimicking non-ideal instrument behavior for hologram processing using neural style translation
errOPTICS EXPRESS
IF3.3
err2023-05-31
err0
errOAAI
errSchreck, John S.; Hayman, Matthew; Gantos, Gabrielle; Bansemer, Aaron; Gagne, David John
err分享
err收藏
Neural network processing of holographic images
errATMOSPHERIC MEASUREMENT TECHNIQUES
IF3.3
err2022-10-14
err6
errOAAI
errSchreck, John S.; Gantos, Gabrielle; Hayman, Matthew; Bansemer, Aaron; Gagne, David John
err分享
err收藏
On the Application of an Observations-Based Machine Learning Parameterization of Surface Layer Fluxes Within an Atmospheric Large-Eddy Simulation Model在大气大涡模拟模型中基于观测的表面层通量机器学习参数化的应用
errJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
IF3.4
err2022-08-16
err8
errOAAI
errMunoz-Esparza, Domingo; Becker, Charlie; Sauer, Jeremy A.; Gagne, David John, II; Schreck, John; Kosovic, Branko
err分享
err收藏
NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)
errBULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
IF5.9
err2022-07-01
err8
errOAAI
errMcGovern, Amy; Bostrom, Ann; Davis, Phillip; Demuth, Julie L. L.; Ebert-Uphoff, Imme; He, Ruoying; Hickey, Jason; Gagne II, David John; Snook, Nathan; Stewart, Jebb Q. Q.; Thorncroft, Christopher; Tissot, Philippe; Williams, John K. K.
err分享
err收藏
The History and Practice of AI in the Environmental Sciences
errBULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
IF5.9
err2022-05-01
err13
errOAAI
errHaupt, Sue Ellen; Gagne, David John; Hsieh, William W.; Krasnopolsky, Vladimir; McGovern, Amy; Marzban, Caren; Moninger, William; Lakshmanan, Valliappa; Tissot, Philippe; Williams, John K.
err分享
err收藏
Calibration of Machine Learning-Based Probabilistic Hail Predictions for Operational Forecasting
errWEATHER AND FORECASTING
IF3.1
err2020-01-23
err43
errOAAI
errBurke, Amanda; Snook, Nathan; Gagne, David John, II; Mccorkle, Sarah; Mcgovern, Amy
err分享
err收藏
Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning
errBULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
IF5.9
err2019-11-01
err337
errOAAI
errMcGovern, Amy; Lagerquist, Ryan; Gagne, David John, II; Jergensen, G. Eli; Elmore, Kimberly L.; Homeyer, Cameron R.; Smith, Travis
err分享
err收藏
Deep Learning for Spatially Explicit Prediction of Synoptic-Scale Fronts
errWEATHER AND FORECASTING
IF3.1
err2019-08-12
err81
errOAAI
errLagerquist, Ryan; Mcgovern, Amy; Gagne, David John, II
err分享
err收藏

研究方向

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