Search Results - "Becker, Charlie"

Machine Learning for Improving Surface-Layer-Flux Estimates by McCandless, Tyler, Gagne, David John, Kosović, Branko, Haupt, Sue Ellen, Yang, Bai, Becker, Charlie, Schreck, John

“…Flows in the atmospheric boundary layer are turbulent, characterized by a large Reynolds number, the existence of a roughness sublayer and the absence of a…”
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Machine Learning for Improving Surface-Layer-Flux Estimates by McCandless, Tyler, Gagne, David John, Kosović, Branko, Haupt, Sue Ellen, Yang, Bai, Becker, Charlie, Schreck, John

“…Abstract Flows in the atmospheric boundary layer are turbulent, characterized by a large Reynolds number, the existence of a roughness sublayer and the absence…”
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On the Application of an Observations‐Based Machine Learning Parameterization of Surface Layer Fluxes Within an Atmospheric Large‐Eddy Simulation Model by Muñoz‐Esparza, Domingo, Becker, Charlie, Sauer, Jeremy A., Gagne, David John, Schreck, John, Kosović, Branko

“…Recently, machine learning techniques have been employed to develop improved models for predicting surface‐layer fluxes of momentum, heat and moisture based on…”
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Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications by Schreck, John S, GagneII, David John, Becker, Charlie, Chapman, William E, Elmore, Kim, Fan, Da, Gantos, Gabrielle, Kim, Eliot, Kimpara, Dhamma, Martin, Thomas, Molina, Maria J, Pryzbylo, Vanessa M, Radford, Jacob, Saavedra, Belen, Willson, Justin, Wirz, Christopher

“…Robust quantification of predictive uncertainty is critical for understanding factors that drive weather and climate outcomes. Ensembles provide predictive…”
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