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Journal Article
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2023
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Estimating precision and accuracy of automated video post-processing: A step towards implementation of AI/ML for optics-based fish sampling
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Prior, J.H., M.D. Campbell, M. Dawkins, P.F. Mickle, R.J. Moorhead, S.Y. Alaba, C. Shah, J.R. Salisbury, K.R. Rademacher, A.P. Felts, F. Wallace
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Frontiers in Marine Science
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https://doi.org/10.3389/fmars.2023.1150651
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Video and Imagery Data Management for Fisheries Assessments
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21-NGI4-11 & 20-NGI3-111
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N/A
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Other Type Presentation
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2023
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Implementing Automated Image Analysis in NOAA Fisheries Video Surveys
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Prior, J.H., M.D. Campbell
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Scripps Machine Learners Group Seminar
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Video and Imagery Data Management for Fisheries Assessments
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21-NGI4-11 & 20-NGI3-111
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N/A
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Conference Presentation
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2023
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An Improved PBL Scheme in Hurricane Conditions using Large-Eddy Simulations and Its Impact on Hurricane Forecasts from HAFS
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Xiaomin Chen, G. H. Bryan, A. Hazelton, F. D. Marks Jr., ScD, P. Fitzpatrick, G. J. Alaka Jr., C. Zhang, B. Liu, W. Wang, and Z. Zhang
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AMS 103rd Annual Meeting
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https://ams.confex.com/ams/103ANNUAL/meetingapp.cgi/Paper/417224
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Toward improved understanding and modeling of boundary layer processes in tropical cyclones using large-eddy simulation
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21-NGI4-01 & 21-NGI4-40
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N/A
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Conference Publication
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2023
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Real-Time and Retrospective Evaluation of the Hurricane Analysis and Forecast System (HAFS-S Version)
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Andrew T. Hazelton, G. J. Alaka Jr., L. J. Gramer, W. Ramstrom, X. Chen, M. C. Ko, S. D. Ditchek, K. K. Ahern, G. R. Alvey III, S. Gopalakrishnan, X. Zhang, F. D. Marks Jr., ScD, B. Liu, Z. Zhang, W. Wang, J. Shin, A. Mehra, and V. S. Tallapragada
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AMS 103rd Annual Meeting
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https://ams.confex.com/ams/103ANNUAL/meetingapp.cgi/Paper/412918
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Toward improved understanding and modeling of boundary layer processes in tropical cyclones using large-eddy simulation
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21-NGI4-01 & 21-NGI4-41
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N/A
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|
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Conference Presentation
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2023
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An Overview of HAFS Physics Parameterizations and Their Performance
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Weiguo Wang, J. Shin, B. Thomas, L. Zhu, X. Li, B. Liu, Z. Zhang, A. Mehra, V. S. Tallapragada, A. Hazelton, and X. Chen
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AMS 103rd Annual Meeting
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https://ams.confex.com/ams/103ANNUAL/meetingapp.cgi/Paper/411489
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Toward improved understanding and modeling of boundary layer processes in tropical cyclones using large-eddy simulation
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21-NGI4-01 & 21-NGI4-42
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N/A
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|
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Conference Presentation
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2023
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Role of advection of parameterized turbulence kinetic energy in idealized tropical cyclone simulations
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Xiaomin Chen and G.H. Bryan
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The 15th International Conference on Mesoscale Convective Systems (ICMCS-XV)
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https://icmcs15.colostate.edu/ICMCS-XV_Book_of_Abstracts.pdf
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Toward improved understanding and modeling of boundary layer processes in tropical cyclones using large-eddy simulation
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21-NGI4-01 & 21-NGI4-43
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N/A
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|
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Other Type Presentation
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2023
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A Framework for Simulating Hurricane Boundary Layers using Large-Eddy Simulation and Its Use in Developing PBL parameterizations for NOAA’s Hurricane Analysis and Forecast System
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Xiaomin Chen
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UAH/NASA seminar series
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N/A
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Toward improved understanding and modeling of boundary layer processes in tropical cyclones using large-eddy simulation
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21-NGI4-01 & 21-NGI4-44
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N/A
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|
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Journal Article
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2023
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Performance of an improved TKE-based eddy-diffusivity mass-flux (EDMF) PBL scheme in 2021 hurricane forecasts from Hurricane Analysis and Forecast System
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Chen, X., A. Hazelton, F. D. Marks, G. J. Alaka, and C. Zhang
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Wea. Forecasting
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https://doi.org/10.1175/WAF-D-22-0140.1
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Toward improved understanding and modeling of boundary layer processes in tropical cyclones using large-eddy simulation
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21-NGI4-01 & 21-NGI4-35
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N/A
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|
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Journal Article
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2023
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A tale of two vortex evolutions: Using a high-resolution ensemble to assess the impacts of ventilation on a tropical cyclone rapid intensification event
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Fischer, M. S., P. D. Reasor, B. H. Tang, K. L. Corbosiero, R. D. Torn, and X. Chen
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Mon. Wea. Rev
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https://doi.org/10.1175/MWR-D-22-0037.1
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Toward improved understanding and modeling of boundary layer processes in tropical cyclones using large-eddy simulation
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21-NGI4-01 & 21-NGI4-36
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N/A
|
|
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Journal Article
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2023
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The development of a consensus machine learning model for hurricane rapid intensification forecasts with Hurricane Weather Research and Forecasting (HWRF) data
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Ko, M.-C., X. Chen, M. Kubat, and S. Gopalakrishnan
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Wea. Forecasting
|
https://doi.org/10.1175/WAF-D-22-0217.1
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Toward improved understanding and modeling of boundary layer processes in tropical cyclones using large-eddy simulation
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21-NGI4-01 & 21-NGI4-37
|
N/A
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