Advanced Scientific Computing Research

Recent Content

Recent Highlights

The biggest uncertainty in near-future sea level rise (SLR) comes from the Antarctic Ice Sheet. Antarctic ice flows in relatively fast-moving ice streams from the interior to the ocean, where it is carried into enormous floating ice shelves which push back on their feeder ice streams, buttressing...
The description of physical processes in weather and climate models involves many tunable parameters. A new strategy to optimize these parameters is presented based on surrogate models. It is applied to the one-dimensional parameterization of the boundary-layer and the benefits in terms of...
Hyperdiffusion is used in atmospheric models to eliminate spurious, unphysical noise that emerges from the way numerical methods represent the atmosphere.  This paper uses a theoretical analysis to compute the optimal amount of hyperdiffusion needed by atmospheric models using the spectral element...
We derived equations that represent organismal maturation as a function of variable environmental conditions, such as variation in temperature that capture the effects of random variation but which do not require computationally expensive Monte Carlo simulations (replications of variable...
A highly-resolved model of the West Antarctic Ice Sheet is used to examine the processes regulating basin-wide ice mass loss. This study finds that rates of mass loss are especially sensitive near the point the system transitions into a regime of self-sustained retreat where the effects of...

Publications

The Antarctic Ice Sheet (AIS) remains the largest uncertainty in projections of future sea level rise. A likely climate‐driven vulnerability of the AIS is thinning of floating ice shelves resulting from surface‐melt‐driven hydrofracture or incursion of relatively warm water into subshelf ocean...
Physical parameterizations in global atmospheric and ocean models typically include free parameters that are not theoretically or empirically constrained. New methods are required to determine the optimal parameter combinations for such models in an objective, exhaustive, yet computationally...
The spectral element method (SEM) is a mimetic finite element method with several properties that make it a desirable choice for numerical modeling. Although the linear dispersion properties of this method have been analyzed extensively for the case of the 1D inviscid advection equation, practical...
Phenology models are becoming increasingly important tools to accurately predict how climate change will impact the life histories of organisms. We propose a class of integral projection phenology models derived from stochastic individual‐based models of insect development and demography. Our...
Rapid change now underway on Thwaites Glacier (TG) raises concern that a threshold for unstoppable grounding line retreat has been or is about to be crossed. We use a high-resolution ice sheet model to examine the mechanics of TG self-sustained retreat by nudging the grounding line just past the...