◎ GRAPES_MESO NWP products in China and its surrounding regions

The model prediction products for the East Asia region are generated from the operational GRAPES_Meso regional ensemble prediction system. The spatial resolution of the model products is 10km, and the temporal resolution is 3 hours. The time validity of the prediction is up to 72 hours, and predicted elements include pressure, geopotential height, temperature, pseudo-adiabatic potential temperature/pseudo-equivalent potential temperature, dew point deficit (or deficit value), u component of wind, v component of wind, vertical velocity (geometric), relative humidity, precipitation amounts, moisture flux, divergence of moisture flux, etc.. The data files adopt grib2 format, which are disseminated on a daily basis at 00:00 and 12:00 UTC.

  • Name
  • GRAPES_MESO NWP products in China and its surrounding regions 
  • Keywords
  • GRAPES, NWP model, East Asia, temperature, dew point deficit, relative humidity, pressure, geopotential height, wind, precipitation amount, moisture flux, divergence of moisture, vertical velocity 
  • Area Scope
  • East Asia 
  • Making time
  • real time 
  • Begin Time
  • 2015/9/29 
  • End Time
  • Current Time 
  • Frequency
  • twice per day 
  • Share Level
  • Real-name Reg. Individual User access 
  • Quality
  • GRAPES_MESO model shows better predictability for precipitation. Concerning correctness and effectiveness of GRAPES system, a series of standard tests and application-oriented modeling experiments have been conducted, including direct analysis and application-oriented experiments on conventional data and non-conventional radar and satellite data. The system has run in national and regional meteorological centers on the operational basis, in which it has played an important role. This model has demonstrated certain predictability for severe weather processes like heavy precipitation, particularly its products in higher temporal and spatial resolutions can better capture genesis and developments of weather processes to some extent. 
  • DataSource
  • Data source: GRAPES regional ensemble forecast system of CMA Numerical Prediction Centre.  
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