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Abstract: Physics-informed bias correction using a convolution-based multivariate Gaussian process (AGU25)

Physics-informed bias correction using a convolution-based multivariate Gaussian process

Taereem Kim1, Chao Wang2, Gabriele Villarini3, James Done4, David Johnson5 and Andreas F Prein4,6, (1)Princeton University, Civil and Environmental Engineering & High Meadows Environmental Institute, Princeton, NJ, United States, (2)University of Iowa, Department of Industrial and Systems Engineering, Iowa City, United States, (3)Princeton University, Civil and Environmental Engineering & High Meadows Environmental Institute, Princeton, United States, (4)NSF National Center for Atmospheric Research, Boulder, United States, (5)Purdue University, Industrial Engineering & Political Science, West Lafayette, IN, United States, (6)ETH Zurich, Institute of Atmospheric and Climate Science, Zurich, Switzerland
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