EGU21-7283
https://doi.org/10.5194/egusphere-egu21-7283
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

New operational nowcasting system at Finnish Meteorological Institute

Leila Hieta, Mikko Partio, Marko Laine, Marja-Liisa Tuomola, Harri Hohti, Tuuli Perttula, Erik Gregow, and Jussi Ylhäisi
Leila Hieta et al.
  • Finnish Meteorological Institute (leila.hieta@fmi.fi)

Rapidly updating nowcasting system, Smartmet nowcast, has been developed at Finnish Meteorological Institute (FMI). The system combines information from multiple sources to operationally produce accurate and timely short range forecasts and a detailed description of the present weather to the end-users. The information sources combined are 1) Rapidly-updating high-resolution numerical weather prediction (NWP) MetCoOp nowcast (MNWC) forecast 2) radar-based nowcast 3) 10-day operational forecast. The Smartmet nowcast is currently produced for parameters 2-m temperature, 10-m wind speed, relative humidity, total cloud cover and accumulated 1-hour precipitation.

The system produces hourly updating nowcast information over the Scandinavian forecast domain and combines it seamlessly with the 10-day operational forecast information. Prior the combination a simple bias correction scheme based on recent forecast error information is applied to MNWC model analysis and forecast fields of 2-m temperature, relative humidity and 10-m wind speed. The blending of the nowcast and the 10-day operational forecast information is done using Optical-flow based image morphing method, which provides visually seamless forecasts for each forecast variable.

FMI has operationally produced Smartmet nowcast forecasts since September 2020. The validation of the data is in progress. The available results show that the Smartmet nowcast is improving the quality of short range forecasts and producing seamless and consistent forecasts. The method is also reducing the delay of forecast production. The Smartmet nowcast method will be automated in FMI forecast production in the near future.

How to cite: Hieta, L., Partio, M., Laine, M., Tuomola, M.-L., Hohti, H., Perttula, T., Gregow, E., and Ylhäisi, J.: New operational nowcasting system at Finnish Meteorological Institute, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-7283, https://doi.org/10.5194/egusphere-egu21-7283, 2021.

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