There are different "optimal" forecast methods for different forecast lead times and different weather phenomena. Focusing on precipitation and convective events up to some hours ahead, radar extrapolation techniques (Nowcasting) show good skill up to about 2 h ahead (depending on the situation), while numerical weather prediction (NWP) outperforms Nowcasting only at later hours. Ensembles of both Nowcasting and NWP help to assess forecast uncertainties.
DWD's new Seamless INtegrated FOrecastiNg sYstem (SINFONY) combines forecast information from Nowcasting and NWP in an optimized way and as a function of lead time to generate seamless probabilistic precipitation forecasts from minutes to 12 hours. After four years of research and development, SINFONY is about to come to life in the upcoming two years, with an initial focus on the prediction of severe convective events.
For the development of SINFONY, different interdisciplinary teams work closely together in developing
For the SINFONY-RUC-EPS, new innovative and efficient forward operators for volume radar scans and visible satellite data enable direct operational assimilation of these data in an LETKF framework. Advanced model physics (stochastic PBL scheme, 2-moment bulk cloud mircophysics) contribute to an improved forecast of convective clouds.
As input for the combination of NWP and Nowcasting information, SINFONY-RUC-EPS generates simulated reflectivity volume scan ensembles of the entire German radar network every 5 min online during its forecast runs. Ensembles of composites and cell object tracks are generated by the same compositing and cell detection- and tracking methods/software packages, which are applied to generate the Nowcasting information.
To help evolve DWD's warning process for convective events towards a flexible "warn-on-objects", our Nowcasting- and NWP cell object ensemble forecasts are then blended into a seamless forecast ("probability objects") in a pragmatic way. Gridded combined precipitation and reflectivity ensembles are also under development, targeted towards hydrological warnings.
In addition to the development of SINFONY itself, focus is also put on the interaction with users (e.g. from flood forecasting centres) along the weather information value chain for co-designing the development of new forecast products and approaches to improve the prediction and warning process.
This presentation will introduce the goal and the concept of SINFONY and provide an overview on the ongoing developments as well as on the incipient interaction with users.
Maike Ahlgrimm, Liselotte Bach, Julia Bachmann, Elisabeth Bauernschubert, Tobias Bergmann, Christian Berndt, Andreas Brechtel, Mareike Burba, Thomas Deppisch, Robert Feger, Kathrin Feige, Ulrich Friedrich, Vanessa Fundel, Matthias Gottschalk, Cornelius Hald, Kathleen Helmert, Michael Hoff, Matthias Jerg, Lukas Josipovic, Kobra Khosravian, Beke Kremmling, Alberto De Lozar, Vera Maurer, Jana Mendrok, Christoph Müller, Lisa Neef, Gregor Pante, Marcus Paulat, Rafael Posada Navia Osorio, Roland Potthast, Martin Rempel, Malte Schmid, Christoph Schraff, Markus Schultze, Axel Seifert, Arne Spitzer, Klaus Stephan, Annett Strauß, Sven Ulbrich, Isabel Urbich, Klaus Vobig, Kathrin Wapler, Christian Welzbacher, Manuel Werner and Matthias Zacharuk
How to cite: Blahak, U. and Keller, J. and the SINFONY-Team: SINFONY - the combination of Nowcasting and Numerical Weather Prediction at the convective scale at DWD , EMS Annual Meeting 2021, online, 6–10 Sep 2021, EMS2021-284, https://doi.org/10.5194/ems2021-284, 2021.