During the last 20 years data assimilation has gradually reached a mature center stage
position at both Numerical Weather Prediction centers as well as being at the center of …

An order of magnitude reduction in the cost of four‐dimensional variational assimilation (4D‐
Var) is required before operational implementation is possible. Preconditioning is …

These training course lecture notes are an advanced and comprehensive presentation of
most data assimilation methods that are considered useful in applied meteorology and …

The physical basis for extended-range prediction is explored using the famous three-
component Lorenz convection model, taken as a conceptual representation of the chaotic …

The adjoint method has been used to calculate the sensitivity of short‐range forecast errors
to the initial conditions. The gradient of the energy of the day 2 forecast error with respect to …

We analyze sensitivity experiments in which random perturbations are applied to the initial
conditions (IC) and lateral boundary conditions (LBC) of a set of seasonal regional climate …

The regional ocean modelling system (ROMS) is a new generation ocean general
circulation model that is rapidly gaining favour in the ocean modelling community. The …

Optimal Prediction of Forecast Error Covariances through Singular Vectors in: Journal of the
Atmospheric Sciences Volume 54 Issue 2 (1997) Jump to Content Jump to Main Navigation …

Current operational assimilation methods have revealed deficiencies in cases of strong
baroclinic development. Baroclinic conditions are therefore appropriate for evaluating the …

In this study, a novel architecture combining a hybrid learning paradigm and an error
correction strategy is presented for multi-step-ahead electricity load forecasting. The detail of …