Improving Model Predictions Through Coupled System and Data Assimilation (2)

Date: Friday, Jun 14, 2019
Time: 9:40 AM - 12:40 PM
Location: Edwards Hall, Room 106

Chair(s): Philip Chu, Matthew Hoffman, Pengfei Xue

LASSO -- a promising alternative to AIC for model selection
Song Qian, University of Toledo; Christine Mayer, University of Toledo, Lake Erie Center

3D hydrodynamic and bio-physical models with data assimilation – an application for Swiss Lakes
Theo Baracchini, Ecole Polytechnique Federale de Lausanne (EPFL); Philip Chu, NOAA/GLERL; Damien Bouffard, EPFL, ENAC IIE APHYS; Alfred Wüest, Physics of Aquatic Systems Laboratory, EPFL Lausanne, Switzerland

Using data assimilation to improve thermal structure prediction in Lake Erie
Pengfei Xue, Michigan Tech; Xinyu Ye, Michigan Tech University; Philip Chu, NOAA/GLERL; Eric Anderson, NOAA/GLERL; Huang Chenfu, Michigan Technological University; Gregory Lang, Great Lakes Environmental Research Laboratory

Lake Erie Modeling and Data Assimilation to Improve Operational Forecast
Yi Chao, Remote Sensing Solutions, Inc.; Philip Chu, NOAA/GLERL; Eric Anderson, NOAA/GLERL