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Heuristic assessment of bridge scour sensitivity using differential evolution: case study for linking floodplain encroachment and bridge scour
Lucas J. Howard, Ian A. Anderson, Kristen L. Underwood, Mandar M. Dewoolkar, Larry M. Deschaine, and Donna M. Rizzo. Environmental Systems Research, 5:20, 2016.
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Uncertainty quantification and calibration of a large subsurface flow and transport model using the ensemble Kalman filter
Proceedings of the Waste Management Symposium, 2020.
A machine learning augmented data assimilation method for high-resolution observations
Lucas Howard, Aneesh C. Subramanian, and Ibrahim Hoteit. Journal of Advances in Modeling Earth Systems, 2024.
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Probabilistic emulation of the community radiative transfer model using machine learning
Lucas Howard, Aneesh C. Subramanian, Gregory Thompson, Benjamin Johnson, and Thomas Auligne. Artificial Intelligence for the Earth Systems, 2025. (in review)
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talks
Uncertainty Quantification and Calibration of a Large Subsurface Flow and Transport Model Using the Ensemble Kalman Filter
Published:
Augmenting the EnKF with a Shallow Convolutional Neural Network
Published:
Machine Learning Radiative Transfer Emulation for Satellite Data Assimilation
Published:
A Machine Learning Augmented Data Assimilation Method for High-Resolution Observations
Published:
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
Published:
Machine Learning Approaches for Assimilation of High-Resolution Observations
Published:
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
Published:
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
Published:
teaching
Applied Statistics for Hydrology
Undergraduate Summer Elective, University of Vermont, 2015
Co-instructor with Professor Donna Rizzo of a 1-credit applied statistics course for upper-division summer undergraduate researchers. I was responsible for developing and delivering lectures as well as developing and grading assignments. Final grades were determined in consultation with Professor Rizzo (who was the instructor of record).
Weather and Atmopshere Laboratory
Lab, University of Colorado, Boulder, 2022
Led a lab section as instructor of record for the course.