The Rolls Royce in-house compressible flow solver HYDRA was employed to predict the 3D flow, solving the steady RANS equations with the Spalart-Allmaras turbulence model, and its corresponding discrete adjoint solver. This paper presents the modification of a baseline stator design using numerical optimization resulting in a new 3D stator. IODA-MED will benefit from a strong national and international cooperative environment.The objective of the presented work is to perform numerical and experimental studies on compressor stators. IODA-MED is a major contribution to the first HyMeX special observing period scheduled for autumn 2012 and focussed on heavy precipitation and floods. IODA-MED is part of the much wider HyMeX research initiative dedicated to the study of the hydrological cycle in the Mediterranean. Iv) advancing the quality of the mesoscale data assimilation systems. Iii) exploring the potential of assimilating new observation types, especially observations related to the water cycle Ii) making better use of routinely available observations in the mesoscale data assimilation systems, I) collecting additional and non-conventional observations in the marine upwind environment of the HPEs, The central objective of IODA-MED is to improve HPE predictability by reducing the uncertainties on the initial state of the model. Among the various factors limiting the predictability of heavy precipitation events (HPE), uncertainties in the model initial states play a major role. However, the accuracy of the forecasts is still insufficient to satisfy the demands of society in terms of amount, timing, and location of rainfall. Considerable efforts to improve the skill of the forecasts for such severe events have been made in recent years and significant progress has been obtained through the development of models permitting high-resolution convection. The central objective of IODA-MED was to improve HPE predictability by reducing the uncertainties on the initial state of the model.ĭuring the autumn, western Mediterranean regions are prone to heavy precipitation and flash floods. This is particularly true for the Mediterranean systems for which upwind precursors often develop offshore in maritime areas under-sampled by the operational observation networks.
A major issue: The inaccurate knowledge of atmospheric conditions in the upstream marine environmentĪmong the various factors limiting the predictability of heavy precipitation events (HPE), uncertainties in model initial states play a major role. Despite considerable progress of meteorological forecast, society’s demands for predictive quality still remain largely unsatisfied and more accuracy is required, in terms of amount, timing, and location of rainfall. – IODA-MED FORECASTING HEAVY PRECIPITATION EVENTS IN THE MEDITERRANEANĭuring the autumn, the western Mediterranean often suffers heavy precipitation, flooding, and devastating flash-floods. Blanc SIMI 5-6 - Blanc - SIMI 5-6 - Environnement, Terre et Espace Innovative Observing and Data Assimilation systems for severe weather events in the MEDiterranean.
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