Introduction to Data Assimilation in Meteorology

Details Introduction to Data Assimilation in Meteorology Introduction to Data Assimilation in Meteorology

Sep 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009otam.conf..156b&link_type=abstract

Optical Turbulence: Astronomy Meets Meteorology, Proceedings of the Astronomy Meets Meteorology, Proceedings of the Optical Turb

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Data assimilation is the process by which observations are inserted into a forecast model to prevent it from drifting away from the true state of the atmosphere. It is not a trivial process and involves specific observations treatment as well as errors statistics definition for both model and observations. In the context of fine scale forecast, useful for predicting parameters such as optical turbulence, appropriate data assimilation system can be designed, with high resolution observations such as radar data and synoptic observations. That kind of system is used for a few years in Meteo-France with an operational status, and it proved us that the maximum improvement is mostly due to the high density of small scale observations.

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