EGU2020-6451
https://doi.org/10.5194/egusphere-egu2020-6451
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development of 10-minute interval analysis and prediction system in KMA

Minyou Kim, Keunhee Lee, and Yong Hee Lee
Minyou Kim et al.
  • Korea Meteorological Administration, Numerical Modeling Center, Korea, Republic of (minyou@korea.kr)

To be well prepared for rapidly-developing meteorological hazards in advance, quick and qualified information on real-time and very-short range (within 6 hours) forecasts is required. KLAPS (Korea Local Analysis and Prediction System) was developed for the operational very-short range forecasts in KMA (Korea Meteorological Administration), based on the LAPS (Local Analysis and Prediction System) from NOAA and WRF from NCAR in 2009. Recently, KLAPS is updated to use new observation datasets and physics schemes from KIM (Korea Integrated Model) to improve its very-short range precipitation forecast skills. New observation data sources (geostationary satellite, RADAR, ground-based GNSS(Global Navigation Satellite System), ceilometer, local radiosonde, etc.) are ingested into KLAPS in real-time to resolve rapidly developing mesoscale systems. Physics schemes (WDM7, KSAS(Kiaps SAS), RRTMG, Shing-Hong PBL, etc.) based on KIM physics package are implemented in KLAPS to support the high-resolution physics. The new KLAPS is now operated in 10-minute interval, so that it could provide 10-minute interval precipitation forecasts to the public(www.weather.go.kr) every 10 minutes. The advantages of 10-minute interval analysis and forecast system will be presented.

How to cite: Kim, M., Lee, K., and Lee, Y. H.: Development of 10-minute interval analysis and prediction system in KMA, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6451, https://doi.org/10.5194/egusphere-egu2020-6451, 2020

This abstract will not be presented.