Eugenia Kalnay

TL;DR: In this article, a brief summary of the targeting results obtained with both adjoint and quasi-inverse linear NCEP global spectral models during the Fronts and Atlantic Storm-Track EXperiment (FASTEX) is given.

TL;DR: In this paper, the authors used GPP estimates from a combination of eight global biome models participating in the Inter-Sectoral Impact-Model Intercomparison Project phase 2a (ISIMIP2a), the Moderate Resolution Spectroradiometer (MODIS) GPP product, and a data-driven product (Model Tree Ensemble, MTE) to study the spatiotemporal variability of GPP at the regional and global levels.

TL;DR: In this article, the accuracy and computational efficiency of the Local Ensemble Kalman Filter (LEKF) data assimilation scheme is investigated on a state-of-the-art operational numerical weather prediction model using simulated observations.

TL;DR: In this paper, the adaptive estimation method of Li et al. was extended to include off-diagonal terms of R in data assimilation, and the extended method performed well with the 40-variable Lorenz model.

TL;DR: The approach is to use state-space augmentation to estimate satellite biases as part of the ensemble data assimilation procedure to reduce both the observation bias and analysis error in perfect-model simulations.