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Observations and diagnostic
tools for data assimilation:
October 1998
| DATA ASSIMILATION | |||||||||
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Abstract
The purpose of the observation preprocessing and screening is to produce a clean array of observations in an easily accessible format to be used in the data assimilation. At the preprocessing stage an array in a suitable format is created for the data assimilation. Observation screening then selects a subset of observations to be presented for the assimilation itself. After the assimilation step a feedback file is created using the preprocessing software. This file contains all the relevant information regarding the use and impact of observations in the assimilation. This enables detailed diagnostic studies to be carried out afterwards on the performance of the assimilation and observing systems.
Table of contents
1 . Observation preprocessing
| 1.1 The incoming observations |
| 1.2 Bias correction |
2 . The observation screening
| 2.1 Screening of conventional observations |
| 2.2 Screening of satellite radiances |
| 2.3 A summary of the current use of observations |
| 2.4 Compression of the CMA-file |
| 2.5 A massively parallel computing environment |
3 . Use of feedback information
4 . Diagnostic tools for an assimilation system
| 4.1 Code development and trouble-shooting |
| 4.2 Experimentation |
| 4.3 Operational monitoring |
| 4.4 Estimation and tuning |
References
Training Course Notes Front Page >>
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31.05.2002 |
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