A new forecast application of numerical forecast products is exemplified by use of artificial neural network(ANN) to daily forecasts of the regional average precipitation of Guangxi in May and June.

There is a problem that instantaneous value of forecasting factors does not match with accumulated precipitation forecast in explaining and application of numerical forecast products.

This article introduced the numerical forecast products of the Japan Meteorological Agency(JMA) and described the path and the naming rules of documents in detail,also it told about how to use these materials in meteorological operation.

The Application of numerical prediction products to the Severe rain forecasting in xianyang region;

And the paper also gave a synoptic explanation for numerical prediction product.

The influence system and the physical quantities field related this process were analysed with ECMWF and T213 numerical prediction product and routine weather data in this paper.

According to the principle of forest fire, by usage of meteorological information of 9210 transmission, we have achieved the forecast system of fire weather scale forecast, based on the fire weather factors selected from T106 and HLAFS NWP Product of China meteorological center.

The interpretation and application of numerical forecast products provide indicative information on cold current forecast.

It’s one of essential research projects for meteorologists to approach for many years that how to use fully T106 NWP products to make more timely and accurate weather forecast.