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 …

This comprehensive text and reference work on numerical weather prediction covers for the
first time, not only methods for numerical modeling, but also the important related areas of …

At the National Meteorological Center (NMC), a new analysis system is being extensively
tested for possible use in the operational Global Data Assimilation System. This analysis …

The possibility of performing data assimilation using the flow-dependent statistics calculated
from an ensemble of short-range forecasts (a technique referred to as ensemble Kalman …

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 …

An ensemble Kalman filter may be considered for the 4D assimilation of atmospheric data. In
this paper, an efficient implementation of the analysis step of the filter is proposed. It employs …

Publisher Summary This chapter provides a review of current operational practice and of
advanced data assimilation techniques in meteorology. Numerical models can be used to …

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 …

For many aspects of numerical weather prediction it is important to have good error statistics.
Here one can think of applications as diverse as data assimilation, model improvement, and …