EGU23-16779
https://doi.org/10.5194/egusphere-egu23-16779
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

An integrated meteorological forecasting system for emergency response

Alexander Haefele, Maxime Hervo, Philipp Bättig, Daniel Leuenberger, Claire Merker, Daniel Regenass, Pirmin Kaufmann, and Marco Arpagaus
Alexander Haefele et al.
  • Federal Office of Meteorology and Climatology MeteoSwiss

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 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: Haefele, A., Hervo, M., Bättig, P., Leuenberger, D., Merker, C., Regenass, D., Kaufmann, P., and Arpagaus, M.: An integrated meteorological forecasting system for emergency response, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-16779, https://doi.org/10.5194/egusphere-egu23-16779, 2023.