ST1-Prec

Quantitative Precipitation Estimation (QPE) and Quantitative Precipitation Forecasting (QPF)

06-ST1-PP (Description)


Members

Thai Side

  • Patchara PETVIROJCHAI – Thai Meteorological Department (TMD)
  • Mongkol RAKSAPATCHARAWONG – Kasetsart University (KU)
  • Kamol PROMASAKHA NA SAKOLNAKHON – Thai Meteorological Department (TMD)
  • Somkuan TONJAN – Thai Meteorological Department (TMD)
  • Chatchai CHAIYASAEN – Thai Meteorological Department (TMD)

Japanese Side

  • Shinta SETO – Nagasaki University (Nagasaki U)
  • Masashi KIGUCHI – The University of Tokyo (UT)

Objective
To improve Quantitative Precipitation Estimation (QPE)/ Quantitative Precipitation Forecasting (QPF) products to get closer to the hydrological requirements and can be used more widely in hydrology and disaster reduction in practice such as integrate QPE/QPF into real-time operational flood forecasting and disaster monitoring and warning.

Expected Outcomes

  • High resolution precipitation products support to hydrological forecasting, disaster risk reduction, water resource management and decision-maker.
  • Hourly QPE from Radar and Satellite
  • The amount of rainfall under Climate Change (CMC) such as extreme precipitation.
  • Khon Kaen province QPF

Description of Activities

  • Quantitative Precipitation Estimation (QPE)
    • Estimation of Quantitative Precipitation from Radar (METRADAR-QPE) and Satellite (METSAT-QPE)
  • Integrated METRADAR-QPE and METSAT-QPF for high resolution precipitation product
  • Quantitative Precipitation Forecasting (QPF)
    • Run WRF model simulation short range forecast, focusing on severe weather, heavy rainfall and precipitation prediction in Northeastern of Thailand
    • Data assimilation
  • End user response Management
    • Disseminating result via TMD website (www.tmd.go.th) and social network. Workshop/seminar

Progress in June 2020

02-03-06-ST1-SF-FSM-PP