Technical Research on Chongqing Numerical Forecast Post-Processing System
- Received Date: 14/04/2018
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Key words:
- numerical forecast /
- CQSSRAFS /
- post-processing module
Abstract: Chongqing Storm Scale Rapid Assimilation Forecast System (CQSSRAFS) is a numerical forecast system, based on ARPS and WRF. Firstly, the numerical system was briefly introduced, then we elaborated the construction of the subsequent post-processing module and relevant technical methods. Taking two regional rainstorms in 2014 for example, three kinds of post-processing module wrfpost (based on NCL), arpsplot (based on ARPS) and wrf2micaps werepresented. Meanwhile, we illustrated the numerical prediction products generated from mesoscale forecast and rapid assimilation forecast sufficiently. Also, the micaps format products were shown. In the mesoscale forecast, especially precipitation, temperature and humidity field, wind field and T-lnPfigure have good guidance significance for short-range forecast. It has good reference value for the forecast products such as precipitation, radar reflectivity, wind shear and severe convection index generated from the rapid assimilation forecast. Moreover, the micaps format products generated from wrf2micaps post-processing module is convenient for forecaster, and also provides basis for model evaluation and the development of other products. The construction of three numerical prediction post-processing modules provides a strong guarantee for the operation of Chongqing numerical forecast. In the later stage, more optimization tests should be carried out to improve the operation efficiency and enrich the forecast products.