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An update on THORPEX-related research in data assimilation and observing strategies
1CNRM/GAME, Météo-France and CNRS, France
2Department of Earth and Atmospheric Sciences, UQAM, Montréal, Canada
3European Centre for Medium-range Weather Forecasts, Reading, UK
4Naval Research Laboratory, USA
5Hydrometeorological Research Centre of Russia, Russia
6The Met-Office, UK
7Bureau of Meteorology Research Centre, Australia
8NASA/Global Modelling and Assimilation Office, USA
9Japanese Meteorological Agency, Japan
Abstract. The international programme "THORPEX: a World Weather Research Programme" provides a framework in which to tackle the challenge of improving the forecast skill of high-impact weather through international collaboration between academic institutions, operational forecast centres, and users of forecast products. The objectives of the THORPEX Data Assimilation and Observation Strategy Working Group (DAOS-WG) are two-fold. The primary goal is to assess the impact of observations and various targeting methods to provide guidance for observation campaigns and for the configuration of the Global Observing System. The secondary goal is to setup an optimal framework for data assimilation, including aspects such as targeted observations, satellite data, background error covariances and quality control. The Atlantic THORPEX Regional campaign, ATReC, in 2003, has been very successful technically and has provided valuable datasets to test targeting issues. Various data impact experiments have been performed, showing a small but very slightly positive impact of targeted observations. Projects of the DAOS-WG include working on the AMMA field experiment, in the context of IPY and to prepare the future THORPEX-PARC field campaign in the Pacific by comparing sensitivity of the forecasts to observations between several groups.
Full Article (PDF, 2425 KB)
Citation: Rabier, F., Gauthier, P., Cardinali, C., Langland, R., Tsyrulnikov, M., Lorenc, A., Steinle, P., Gelaro, R., and Koizumi, K.: An update on THORPEX-related research in data assimilation and observing strategies, Nonlin. Processes Geophys., 15, 81-94, 2008. Bibtex EndNote Reference Manager
