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Journal Paper
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2020
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Quantifying spatiotemporal variability in zooplankton dynamics in the Gulf of Mexico with a physical-biogeochemical model
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Shropshire, T. S.L. Morey, E. Chassignet, A. Bozec, V. Coles, M. Landry, R. Swalethorp, G. Zapfe, and M. Stukel
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Biogeosciences
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https://doi.org/10.5194/bg-17-3385-2020
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Modeling Climate Impacts on Fish Larvae Mortality in the Gulf of Mexico
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18-NGI3-41
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Not Checked
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Conference/Workshop Presentation/Poster/Paper
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2020
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Zooplankton validation in a physical-biogeochemical model with potentially valuable applications to fisheries management in the Gulf of Mexico
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Shropshire, T., M.R. Stukel, E. Chassignet, S.L. Morey, V. Coles, S.-K. Lee, M. Karnauskas, G. Zapfe, and M.R. Landry
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AGU Ocean Sciences Meeting
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NOAA Fisheries and the Environment (FATE): Development of Environmentally Driven Larval Mortality and Age-0 Abundance Indices for a Suite of Coastal Pelagic Species in the Gulf of Mexico
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18-NGI3-52
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Journal Paper
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2021
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A framework for simulating the tropical-cyclone boundary layer using large-eddy simulation and its use in evaluating pbl parameterizations
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Chen, X., G. H. Bryan, J. A. Zhang, J. J. Cione, and F. D. Marks
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Journal of the Atmospheric Sciences
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https://doi.org/10.1175/JAS-D-20-0227.1
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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
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Not Checked
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Journal Paper
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2021
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Role of advection of parameterized turbulence kinetic energy in idealized tropical cyclone simulations
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Chen, X., and G. H. Bryan
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Journal of the Atmospheric Sciences
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https://doi.org/10.1175/JAS-D-21-0088.1
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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
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Not Checked
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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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Journal Article
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2022
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Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset
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Alaba, S.Y., M.M. Nabi, C. Shah, J.H. Prior, M.D. Campbell, J.E. Ball, R.J. Moorhead
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Sensors
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https://doi.org/10.3390/s22218268
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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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Other Type Presentation
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2022
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Toward Improved Planetary Boundary Layer Parameterization Schemes in High-Wind Conditions using Large-Eddy Simulations and Observations
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Chen, Xiaomin
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NOAA/AOML seminar
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https://www.youtube.com/watch?v=hxsbGL5D6ik&list=PL28oQKKcsTphfH6inbKQEWwkj3SnBos1O&index=4&ab_channel=NOAA_AOML
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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-NGI4-39
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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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