EMS Annual Meeting Abstracts
Vol. 20, EMS2023-573, 2023, updated on 06 Jul 2023
https://doi.org/10.5194/ems2023-573
EMS Annual Meeting 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

An integrated meteorological forecasting system for emergency response

Maxime Hervo, Alexander Haefele, Philipp Bättig, Daniel Leuenberger, Claire Merker, Daniel Regenass, Pirmin Kaufmann, and Marco Arpagaus
Maxime Hervo et al.
  • Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland (maxime.hervo@meteoswiss.ch)

EMER-Met is the new meteorological forecasting system for the protection of the population in Switzerland. It provides the meteorological basis for coping with all types of emergencies, especially in case of nuclear and chemical accidents. EMER-Met consists of a dedicated upper air measurement network and a high-resolution numerical weather prediction model.

The measurement network is composed of state-of-the-art remote sensing instruments to measure accurate wind and temperature profiles in the boundary layer. At three sites, a radar wind profiler PCL1300, a Doppler lidar Windcube-200s and a microwave radiometer Hatpro-G5 are installed. The synergy between the radar wind profilers and the doppler lidars allowed to reach an availability of 99% in 2022. Compared to the radiosounding, the RMS of the vector difference was below 2m/s for both the lidar and the radar, reaching the "breakthrough" WMO/OSCAR requirement for NWP forecasting in the boundary layer. 

The data from the measurement network are assimilated into the operational 1-km ensemble numerical weather prediction (NWP) system. In the case of the microwave radiometers, we assimilate the brightness temperatures using an adapted version of the RTTOV observation operator. To ensure best impact on the NWP results, the data quality of the measurements is of high importance and is monitored closely on a daily and monthly basis against radiosondes and the NWP model itself. EMER-Met is operational since 2022 and to our best knowledge, it is the first time that the brightness temperatures measured by surface-based microwave radiometers are assimilated operationally. This presentation will focus on the upper air network performance and its impact on NWP. 

 

How to cite: Hervo, M., Haefele, A., Bättig, P., Leuenberger, D., Merker, C., Regenass, D., Kaufmann, P., and Arpagaus, M.: An integrated meteorological forecasting system for emergency response, EMS Annual Meeting 2023, Bratislava, Slovakia, 4–8 Sep 2023, EMS2023-573, https://doi.org/10.5194/ems2023-573, 2023.