32 citations · 32 across the 4 of their papers we have counts for
4 papers
Data assimilation for energy-aware hybrid models
Igor Shevchenko, Dan Crisan
This work integrates ensemble-based data assimilation (DA) with the energy-aware hybrid modeling approach, applied to a three-layer quasi-geostrophic (QG) model of the Gulf Stream…
Forecast error growth: A dynamic-stochastic model
Eviatar Bach, Dan Crisan, Michael Ghil
There is a history of simple forecast error growth models designed to capture the key properties of error growth in operational numerical weather prediction (NWP) models. We propos…
On energy-aware hybrid models
Igor Shevchenko, Dan Crisan
This study proposes deterministic and stochastic energy-aware hybrid models that should enable simulations of idealized and primitive-equations Geophysical Fluid Dynamics (GFD) mod…
Semi-martingale driven variational principles
Oliver D. Street, Dan Crisan
Spearheaded by the recent efforts to derive stochastic geophysical fluid dynamics models, we present a generic framework for introducing stochasticity into variational principles t…