4 papers
Scientific Applications Leveraging Randomized Linear Algebra
Vivak Patel, D. Adrian Maldonado, Maksim Melnichenko +5
This report showcases the role of, and future directions for, the field of Randomized Numerical Linear Algebra (RNLA) in a selection of scientific applications. These applications…
Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models
Haoyuan Chen, Emil Constantinescu, Vishwas Rao +1
The Madden--Julian Oscillation (MJO) is an influential climate phenomenon that plays a vital role in modulating global weather patterns. In spite of the improvement in MJO predicti…
Weakly-Constrained 4D Var for Downscaling with Uncertainty using Data-Driven Surrogate Models
Philip Dinenis, Vishwas Rao, Mihai Anitescu
Dynamic downscaling typically involves using numerical weather prediction (NWP) solvers to refine coarse data to higher spatial resolutions. Data-driven models such as FourCastNet…
Recovering sparse DFT from missing signals via interior point method on GPU
Wei Kuang, Alexis Montoison, Vishwas Rao +2
We propose a method to recover the sparse discrete Fourier transform (DFT) of a signal that is both noisy and potentially incomplete, with missing values. The problem is formulated…