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 …

Climate projections continue to be marred by large uncertainties, which originate in
processes that need to be parameterized, such as clouds, convection, and ecosystems. But …

It has long been conceived that numerical weather forecasts will benefit from the
assimilation of supplementary observations that augment the conventional observational …

An Ensemble Adjustment Kalman Filter for Data Assimilation in: Monthly Weather Review
Volume 129 Issue 12 (2001) Jump to Content Logo Logo Logo Logo Logo Logo …

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 …

Numerical weather prediction models as well as the atmosphere itself can be viewed as
nonlinear dynamical systems in which the evolution depends sensitively on the initial …

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 …

Adjoint models are powerful tools for many studies that require an estimate of sensitivity of
model output (eg, a forecast) with respect to input. Actual fields of sensitivity are produced …

In this paper we demonstrate a new technique for deriving discrete adjoint and tangent
linear models of a finite element model. The technique is significantly more efficient and …

This paper has been written to mark 25 years of operational medium‐range ensemble
forecasting. The origins of the ECMWF Ensemble Prediction System are outlined, including …