1 citations · 1 across the 3 of their papers we have counts for
3 papers
Emergent conservation in atmospheric chemical mechanisms
Beatriz Lucia G. Rodriguez, Patrick Obin Sturm, Daniel Getter +1
Conservation laws are time-invariant properties that constrain many physical systems. For systems of chemical reactions, conservation of mass constrains how atoms flow between chem…
Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed
Harrison J. Goldwyn, Mitchell Krock, Johann Rudi +2
Accurate quantification of uncertainty in neural network predictions remains a central challenge for scientific applications involving high-dimensional, correlated data. While exis…
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification
Daniel Getter, Julie Bessac, Johann Rudi +1
Machine learning models have been employed to perform either physics-free data-driven or hybrid dynamical downscaling of climate data. Most of these implementations operate over re…