Deep learning for subgrid-scale turbulence modeling in large-eddy simulations of the atmospheric boundary layer

    flowchart
    W[2019AGUFM.A41R2899G]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (2)"]
    W== author ==>LA
    W== affil ==>LI
    click LA "#linked-authors"
    click LI "#linked-institutions"
Graph neighborhood for 'Deep learning for subgrid-scale turbulence modeling in large-eddy simulations of the atmospheric boundary layer'. Click aggregate nodes to navigate.
ADS bibcode
2019AGUFM.A41R2899G
year
2019
Listed Authors
Gentine, P.
Cheng, Y.
Giometto, M.
Kauffmann, P.
Lin, L.
Cao, C.
Zupnick, C.
Li, H.
Li, Q.
Abernathey, R.
Listed Institutions
Department of Earth and Environmental Engineering, Columbia University, New York, NY, United States
Department of Earth and Environmental Engineering, ColumbiaUniversity, New York, NY, United States
Department of Civil Engineering and Engineering Mechanics,Columbia University, New York, NY, United States
Capstone Project at Data Science Institute, Columbia University,New York, NY, United States
Capstone Project at Data Science Institute, Columbia University,New York, NY, United States
Capstone Project at Data Science Institute, Columbia University,New York, NY, United States
Capstone Project at Data Science Institute, Columbia University,New York, NY, United States
Department of Earth and Environmental Engineering, ColumbiaUniversity, New York, NY, United States
School of Civil and Environmental Engineering, Cornell University,Ithaca, NY, United States
Department of Earth and Environmental Sciences, Columbia University, Palisades, NY, United States

Linked Authors [?]

Linked Institutions