Lucas J. Howard

Lucas J. Howard

Posts by Collection

portfolio

publications

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

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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.