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- Dick Peter Dee
- 2006

All data assimilation systems are affected by biases, caused by problems with the data, by approximations in the observation operators used to simulate the data, by limitations of the assimilating… (More)

[1] Evidence is presented of a reduction in relative humidity over low-latitude and midlatitude land areas over a period of about 10 years leading up to 2008, based on monthly anomalies in surface… (More)

- Dick Peter Dee
- 1991

We propose a new statistical method of data assimilation that is based on a simplification of the Kalman filter equations. The forecast error covariance evolution is approximated simply by advecting… (More)

- Dick Peter Dee
- 2004

This paper describes the implementation of a method for adaptive estimation and correction of radiance biases in the ECMWF variational data assimilation system. Biases are partly caused by problems… (More)

We present an efficient computational algorithm for estimating the noise covariance matrices of large linear discrete stochasticdynamic systems. Such systems arise typically by discretizing… (More)

The situation in which one cannot solve a numerical initial value problem for lack of complete initial data is arising ever more frequently in applied sciences and engineering. The procedure of… (More)

The vertical structure equation is a singular Sturm-Liouville problem whose eigenfunctions describe the vertical dependence of the normal modes of the primitive equations linearized about a given… (More)

- Dick Peter Dee
- 2013

The recent initiative by several European hydraulic research and engineering institutes to start producing validation documents for computational modeling software is described. These documents are… (More)

This paper gives a general introduction to the parameter estimation problem for dynamical models. The basic formulation and methodology in a parameter estimation problem will be discussed and some… (More)

- Dick Peter Dee
- 1990

The data assimilation problem for large-scale geophysical flow prediction models can be regarded as a very large, nonlinear discrete filtering problem in statistical estimation theory. Implementation… (More)