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David John Gagne IINational Center for Atmospheric Research在 ucar.edu 的电子邮件经过验证
Travis M. SmithCooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO)在 ou.edu 的电子邮件经过验证
Andrew BartoUniversity of Massachusetts Amherst在 cs.umass.edu 的电子邮件经过验证
Sue Ellen HauptNational Center for Atmospheric Research在 ucar.edu 的电子邮件经过验证
Montgomery FloraPostDoctoral Research Associate在 noaa.gov 的电子邮件经过验证
Ann BostromWeyerhaeuser Endowed Professor in Environmental Policy, Evans School of Public Policy & Governance在 uw.edu 的电子邮件经过验证
Philippe TissotConrad Blucher Institute, Texas A&M University-Corpus Christi在 tamucc.edu 的电子邮件经过验证
Imme Ebert-UphoffColorado State University在 colostate.edu 的电子邮件经过验证
Ming Xue, Ph.D., FAMS, FAGUUniversity of Oklahoma在 ou.edu 的电子邮件经过验证
David HarrisonCooperative Institute for Severe and High-Impact Weather Research and Operations, The University of在 ou.edu 的电子邮件经过验证
Kimberly L. ElmoreResearch Scientist, Cooperative Institute for Mesoscale Meteorological Studies在 noaa.gov 的电子邮件经过验证
Corey K PotvinResearch Scientist, NOAA National Severe Storms Lab在 noaa.gov 的电子邮件经过验证
Richard S. SuttonKeen, Amii, and University of Alberta在 richsutton.com 的电子邮件经过验证
Jason HickeyGoogle Research在 google.com 的电子邮件经过验证
Ryan SobashNational Center for Atmospheric Research在 ucar.edu 的电子邮件经过验证
Kelvin DroegemeierUniversity of Oklahoma在 ou.edu 的电子邮件经过验证
Cameron R HomeyerAssociate Professor, School of Meteorology, University of Oklahoma在 ou.edu 的电子邮件经过验证
Andrew FaggUniversity of Oklahoma在 cs.ou.edu 的电子邮件经过验证
John AllenCentral Michigan University在 cmich.edu 的电子邮件经过验证
Jeffrey BasaraUniversity of Massachusetts Lowell在 uml.edu 的电子邮件经过验证

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Amy McGovern

University of Oklahoma

在 ou.edu 的电子邮件经过验证 - 首页

Artificial Intelligence Machine Learning Severe Weather


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
1-2 Hour Hail Nowcasting Using Time-Resolving 3-Dimensional UNets TG Schmidt, A McGovern, JT Allen, R Chase, JK Williams, ... 103rd AMS Annual Meeting, 2023		2023
2.4 USING MULTIPLE MACHINE LEARNING TECHNIQUES TO IMPROVE THE CLASSIFICATION OF A STORM SET DJ Gagne II, A McGovern	2	2008
2.5 ANALYZING THE EFFECTS OF LOW LEVEL BOUNDARIES ON TORNADOGENESIS THROUGH SPATIOTEMPORAL RELATIONAL DATA MINING DJ Gagne II, T Supinie, A McGovern, J Basara, RA Brown 8th Conference on Artificial Intelligence Applications to Environmental Science, 2010	1	2010
2024 Update on the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) A McGovern 104th AMS Annual Meeting, 2024		2024
4.3 A Anticipating the formation of tornadoes through data mining A McGovern, DH Rosendahl, A Kruger, MG Beaton, RA Brown, ...	9	2007
7.3 A EVALUATION OF FIRST-GUESS WATCH GUIDANCE IN THE 2022 HWT SPRING FORECASTING EXPERIMENT DR Harrison, A McGovern, CD Karstens, IL Jirak, P Marsh		2022
A Climatology of HREF Forecasts in Severe Convective Environments D Harrison, A McGovern, C Karstens, I Jirak, P Marsh 101st American Meteorological Society Annual Meeting, 2021		2021
A Deep Learning Approach to Severe Weather Subseasonal Forecasting over the United States MM Madsen, A McGovern 104th AMS Annual Meeting, 2024		2024
A framework for sustained climate assessment in the United States RH Moss, S Avery, K Baja, M Burkett, AM Chischilly, J Dell, PA Fleming, ... Bulletin of the American Meteorological Society 100 (5), 897-907, 2019	17	2019
A Machine Learning Approach to Generating Guidance for SPC Watch Products D Harrison, A McGovern, C Karstens, IL Jirak, PT Marsh 102nd American Meteorological Society Annual Meeting, 2022		2022
A machine learning explainability tutorial for atmospheric sciences ML Flora, CK Potvin, A McGovern, S Handler Artificial Intelligence for the Earth Systems 3 (1), e230018, 2024	7	2024
A machine learning tutorial for operational meteorology. Part I: Traditional machine learning RJ Chase, DR Harrison, A Burke, GM Lackmann, A McGovern Weather and Forecasting 37 (8), 1509-1529, 2022	52	2022
A machine learning tutorial for operational meteorology. Part II: Neural networks and deep learning RJ Chase, DR Harrison, GM Lackmann, A McGovern Weather and Forecasting 38 (8), 1271-1293, 2023	22	2023
A review of machine learning for convective weather A McGovern, RJ Chase, M Flora, DJ Gagne, R Lagerquist, CK Potvin, ... Artificial Intelligence for the Earth Systems 2 (3), e220077, 2023	15	2023
A Summary of the Twenty-Ninth AAAI Conference on Artificial Intelligence R Morris, B Bonet, M Cavazza, A Felner, N Hawes, B Knox, S Koenig, ... AI Magazine 36 (3), 99-106, 2015		2015
Accelerating reinforcement learning through the discovery of useful subgoals A McGovern, AG Barto	23	2001
ACM SIGAI activity report S Koenig, S Das, R Paradis, J Dickerson, Y Gil, K Guo, B Kuipers, I Leite, ... AI Matters 5 (3), 6-11, 2019	1	2019
acQuire-macros: An algorithm for automatically learning macro-actions A McGovern Proceedings of the NIPS’98 Workshop on Abstraction and Hierarchy in …, 1998	37	1998
AI for Environmental Science: Part I; Open Datasets for Artificial Intelligence Research and Applications in Earth and Atmospheric Sciences R Lagerquist, A McGovern 101st American Meteorological Society Annual Meeting, 2021		2021
AI profiles: an interview with Jim Kurose A McGovern, E Eaton AI Matters 3 (1), 14-16, 2017		2017

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