Adaptive thinning of atmospheric observations in data assimilation with vector quantization and filtering methods

@inproceedings{Ochotta2006AdaptiveTO,
  title={Adaptive thinning of atmospheric observations in data assimilation with vector quantization and filtering methods},
  author={Tilo Ochotta and C. Gebhardt and Dietmar Saupe and W. WERGEN},
  year={2006}
}
In data assimilation for numerical weather prediction, measurements of various observation systems are combined with background data to define initial states for the forecasts. Current and future observation systems, in particular satellite instruments, produce large numbers of measurements with high spatial and temporal density. Such datasets significantly increase the computational costs of the assimilation and, moreover, can violate the assumption of spatially independent observation errors… CONTINUE READING