Eugenia Kalnay

TL;DR: In this article, a local formulation of the Ensemble Kalman Filter approach for atmospheric data assimilation is proposed, which is based on the hypothesis that, when the Earth's surface is divided up into local regions of moderate size, vectors of the forecast uncertainties in such regions tend to lie in a subspace of much lower dimension than that of the full atmospheric state vector of such a region.

TL;DR: In this article, GCM experiments are used to study several possible mechanisms associated with the maintenance of the June 1982 blocking in the Southern Hemisphere, including changed orography, sea surface temperature anomalies, tropical heating, regional heating, land-sea contrast, and sensible heating in the Antarctic area.

TL;DR: In this article, the authors examined the net terrestrial carbon flux to the atmosphere (FTA) simulated by nine models from the TRENDY dynamic global vegetation model project for its seasonal cycle and amplitude trend during 1961-2012.

TL;DR: In this article, an ensemble Kalman filter (EnKF) is used to assimilate data onto a non-linear chaotic model, coupling two kinds of variables: large amplitude, slow, large scale, distributed in eight equally spaced locations around a circle.

TL;DR: In this paper, Duan et al. provide an overview of the fundamental principles of numerical weather prediction, including the numerical framework of models, numerical methods, physical parameterization, and data assimilation.