Donald D. Lucas

According to our database, Donald D. Lucas authored at least 7 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Evaluating probabilistic deep learning methods for uncertainty quantification of temperature downscaling.

Yannic Lops, Gemma J. Anderson, Donald D. Lucas, Indrasis Chakraborty, Daniel Galea

Mach. Learn. Sci. Technol., 2025

2024

A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport.

M. Giselle Fernández-Godino, Wai Tong Chung, Akshay A. Gowardhan, Matthias Ihme, Qingkai Kong, Donald D. Lucas, Stephen C. Myers

CoRR, 2024

Spatiotemporal Predictions of Toxic Urban Plumes Using Deep Learning.

Yinan Wang, M. Giselle Fernández-Godino, Nipun Gunawardena, Donald D. Lucas, Xiaowei Yue

CoRR, 2024

2022

Learning Physics through Images: An Application to Wind-Driven Spatial Patterns.

M. Giselle Fernández-Godino, Donald D. Lucas, Qingkai Kong

CoRR, 2022

2021

Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications.

Qingkai Kong, Andrea Chiang, Ana C. Aguiar, M. Giselle Fernández-Godino, Stephen C. Myers, Donald D. Lucas

CoRR, 2021

2013

Climate Model Simulation Crashes.

Donald D. Lucas, Richard Klein, John Tannahill, D. Ivanova, Scott Brandon, David Domyancic, Y. Zhang

Dataset, June, 2013

2011

Poster: Data intensive uncertainty quantification: applications to climate modeling.

John Tannahill, Donald D. Lucas, David Domyancic, Scott Brandon, Richard Klein

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011