9 citations · 9 across the 3 of their papers we have counts for
3 papers
Fusing Climate Data Products using a Spatially Varying Autoencoder
Jacob A. Johnson, Matthew J. Heaton, William F. Christensen +2
Autoencoders are powerful machine learning models used to compress information from multiple data sources. However, autoencoders, like all artificial neural networks, are often uni…
Improving Piecewise Linear Snow Density Models through Hierarchical Spatial and Orthogonal Functional Smoothing
Philip White, Durban Keeler, Daniel Sheanshang +1
Snow density estimates as a function of depth are used for understanding climate processes, evaluating water accumulation trends in polar regions, and estimating glacier mass balan…
Hierarchical Integrated Spatial Process Modeling of Monotone West Antarctic Snow Density Curves
Philip A. White, Durban G. Keeler, Summer Rupper
Snow density estimates below the surface, used with airplane-acquired ice-penetrating radar measurements, give a site-specific history of snow water accumulation. Because it is inf…