![]() Tested on a 18-month period of reforecasts, the new chain presents significantly improved ensemble streamflow forecasts compared to the previous version. Several experiments were performed ton assess the effects of i) the high resolution atmospheric forcing ii) the new representation of the hydraulic conductivity iii) the data assimilation method and iv) the real-time framework. This study aims to assess the improvements obtained by the new version of the forecasting chain. These developpement were first tested in the framework of a Phd thesis, and are now evaluated in real-time conditions. And finally, a past discharges assimilation system has been implemented in order to improve the initial states of the ensemble streamflow forecasts. Then an improvement of the physics of the ISBA model (a new physical representation of the soil hydraulic conductivity) is now used. First, the new version of the forecasting chain includes new atmopheric products from the ECWMF (EPS at the resolution of 0,25 over France). New improvements have been recently implemented in this forecasting chain. This fully distributed catchment model is used in an operationnal real-time mode since 2005 for producing mid-range ensemble streamflow forecasts based on the 51-member 10-day ECMWF EPS. The coupled physically-based hydro-meteorological model SAFRAN-ISBA-MODCOU (SIM) is developed at Meteo-France for many years. It aims at providing to the French hydrological forecaters a real-time tool for mid-range flood awareness. This website shows the streamflow predictions for about 200 selected river stations over France (selected regarding their interest for flood warning), as well as alerts for high flows (two levels of high flows corresponding to the levels of risk of the French flood warning system). A collaboration between Meteo-France and SCHAPI led to the development of a new website. Finally, this system provides ensemble 10-day streamflow prediction to the French National Service for Flood Prediction (SCHAPI). You can now listen to the full premiere of ‘When You’re Back’ exclusively on When We Dip.The coupled physically-based hydro-meteorological model SAFRAN-ISBA-MODCOU (SIM) is developed at Meteo-France for many years. It’s stand-out and precious, a moment to be remembered. ![]() Programmed in the right place you’ll have a peak-time tool, but this song is more of a sunrise moment, life-affirming and surprising. When the break comes it builds so well, with a confident strength that drives a new energy. The first few minutes are all about the vocal as it ebbs and flows. There are swelling pads, subtle melody, and classy piano. Make no mistake this is house music, but it’s got songwriting credentials showcasing Coco’s beautiful vocal and holding the melody, the production that holds its hand and leads it gently down the street. What we love here is the combination of groove and song. ‘When You’re Back’ is an organic, deep, and soulful take on tribal house. This new release combines the talents of these great producers and the talented vocalist Coco. ![]() Paso Doble and Fabio Aurea are the latter. Then you have producers who go the route of quality. There are producers out there who go the route of quantity.
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