VISCA publishes 3 reports: seasonal forecasts quality assessment, weather forecast extreme events & performance of phenological model

In VISCA, we have recently published three reports. The first 'seasonal forecasts quality assessment report (D2.1)' assesses the quality of two seasonal forecast systems (European Centre for Middlerange Weather Forecasting (ECMWF) System 4 and SEAS5), two bias correction approaches (calibration and simple bias correction) and a downscaling strategy (calibration). The results obtained show that there is some degree of predictability in the three demo-sites in different variables that can provide value beyond the customary use of climatology. Moreover, the verification / bias-correction / downscaling workflow developed in this task provides the basics of all future refinements that we will conduct during the remaining two years of the project, e. g. through the exploration of new seasonal prediction systems and/or downscaling techniques.

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 730253.