32 citations · 72 across the 9 of their papers we have counts for
10 papers
Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data
Subhashis Hazarika, Ayan Biswas, Phillip J. Wolfram +2
With the increasing computational power of current supercomputers, the size of data produced by scientific simulations is rapidly growing. To reduce the storage footprint and facil…
A Bayesian approach to regional decadal predictability: Sparse parameter estimation in high-dimensional linear inverse models of high-latitude sea surface temperature variability
Dallas Foster, Darin Comeau, Nathan M. Urban
Stochastic reduced models are an important tool in climate systems whose many spatial and temporal scales cannot be fully discretized or underlying physics may not be fully account…
Improved Representation of Ocean Heat Content in Energy Balance Models
Balasubramanya T. Nadiga, Nathan M. Urban
Anomaly-diffusing energy balance models (AD-EBM) are routinely employed to analyze and emulate the warming response of both observed and simulated Earth systems. We demonstrate a d…
Dependence of Inferred Climate Sensitivity on the Discrepancy Model
B. T. Nadiga, N. M. Urban
We consider the effect of different temporal error structures on the inference of equilibrium climate sensitivity\footnote{ECS is defined as the realized equilibrium surface warmin…
Model Structural Inference using Local Dynamic Operators
Anthony M. DeGennaro, Nathan M. Urban, Balasubramanya T. Nadiga +1
This paper focuses on the problem of quantifying the effects of model-structure uncertainty in the context of time-evolving dynamical systems. This is motivated by multi-model unce…
Scalable Extended Dynamic Mode Decomposition using Random Kernel Approximation
Anthony M. DeGennaro, Nathan M. Urban
The Koopman operator is a linear, infinite-dimensional operator that governs the dynamics of system observables; Extended Dynamic Mode Decomposition (EDMD) is a data-driven method…