Variational and ensemble methods have been developed separately by various research
and development groups and each brings its own benefits to data assimilation. In the last …

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 …

Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation in: Monthly
Weather Review Volume 144 Issue 12 (2016) Jump to Content Jump to Main Navigation …

This paper presents results of a comparison between four‐dimensional variational
assimilation (4D‐Var). using a 6‐hour assimilation window and simplified physics during the …

Optimal Sites for Supplementary Weather Observations: Simulation with a Small Model in:
Journal of the Atmospheric Sciences Volume 55 Issue 3 (1998) Jump to Content Jump to Main …

抄録 Assimilation of meteorological or oceanographical observations can be described as
the process through which all the available information is used in order to estimate as …

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

Real-data experiments with an ensemble data assimilation system using the NCEP Global
Forecast System model were performed and compared with the NCEP Global Data …

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 …