Weather forecasts produced with numerical weather prediction (NWP) models of the
atmosphere possess intrinsic uncertainty. This uncertainty is caused through both errors in …

Data assimilation in geomagnetism designates the set of inverse methods for geomagnetic
data analysis which rely on an underlying prognostic numerical model of core dynamics …

Gelaro, R., R. Buizza, TN Palmer, and E. Klinker, 1998: Sensitivity analysis of forecast errors
and the construction of optimal perturbations using singular vectors. J. Atmos. Sci., 55, 1012 …

Ensemble smoother:(top) The inverse estimate (full line) and reference solution (dash–dot
line) for x.(bottom) The corresponding estimated standard deviations (full line) and the …

Climate variability and global change studies are increasingly focused on understanding
and predicting regional changes of daily weather statistics. Assessing the evidence for such …

抄録 Despite the explosive growth of activity in the field of Earth System data assimilation
over the past decade or so, there remains a substantial gap between theory and practice …

The essential guide to state-of-the art mobile positioning and tracking techniques—fully
updated for new and emerging trends in the field Mobile Positioning and Tracking, Second …

The iterative ensemble Kalman filter (IEnKF) was recently proposed in order to improve the
performance of ensemble Kalman filtering with strongly nonlinear geophysical models. The …

The accuracy of global water balance estimates is limited by the lack of observations at large
scale and the uncertainties of model simulations. Global retrievals of terrestrial water storage …

Studies using idealized ensemble data assimilation systems have shown that flow-
dependent background-error covariances are most beneficial when the observing network is …