4 citations · 7 across the 4 of their papers we have counts for
4 papers
Additive Model Perturbations Scaled by Physical Tendencies for Use in Ensemble Prediction
Michael Tsyrulnikov, Elena Astakhova, Dmitry Gayfulin
Imperfections and uncertainties in forecast models are often represented in ensemble prediction systems by stochastic perturbations of model equations. In this article, we present…
Regularization of the ensemble Kalman filter using a non-parametric, non-stationary spatial model
Michael Tsyrulnikov, Arseniy Sotskiy
The sample covariance matrix of a random vector is a good estimate of the true covariance matrix if the sample size is much larger than the length of the vector. In high-dimensiona…
Impact of non-stationarity on hybrid ensemble filters: A study with a doubly stochastic advection-diffusion-decay model
Michael Tsyrulnikov, Alexander Rakitko
Effects of non-stationarity on the performance of hybrid ensemble filters are studied (by hybrid filters we mean those which blend ensemble covariances with some other regularizing…
A spatio-temporal stochastic pattern generator for simulation of uncertainties in geophysical ensemble prediction and ensemble data assimilation
Michael Tsyrulnikov, Dmitry Gayfulin
A generator of spatio-temporal pseudo-random Gaussian fields that satisfy the "proportionality of scales" property (Tsyroulnikov, 2001) is presented. The generator is based on a th…