408 citations · 437 across the 5 of their papers we have counts for
5 papers
DiffDA: a Diffusion Model for Weather-scale Data Assimilation
Langwen Huang, Lukas Gianinazzi, Yuejiang Yu +2
The generation of initial conditions via accurate data assimilation is crucial for weather forecasting and climate modeling. We propose DiffDA as a denoising diffusion model capabl…
Neural General Circulation Models for Weather and Climate
Dmitrii Kochkov, Janni Yuval, Ian Langmore +13
General circulation models (GCMs) are the foundation of weather and climate prediction. GCMs are physics-based simulators which combine a numerical solver for large-scale dynamics…
Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows
Jan Ackmann, Peter D. Düben, Tim N. Palmer +1
It is tested whether machine learning methods can be used for preconditioning to increase the performance of the linear solver -- the backbone of the semi-implicit, grid-point mode…
Monte Carlo approach to turbulence
P. Düben, D. Homeier, K. Jansen +2
The behavior of the one-dimensional random-force-driven Burgers equation is investigated in the path integral formalism on a discrete space-time lattice. We show that by means of M…
Monte Carlo simulations of the randomly forced Burgers equation
P. Düben, D. Homeier, K. Jansen +3
The behaviour of the one--dimensional random--forced Burgers equation is investigated in the path integral formalism, using a discrete space--time lattice. We show that by means of…