numerical weather prediction

基本解釋

At present, data errors and model errors are the key factors to the improvement of the numerical weather prediction (NWP) results.
目前，制約數(shù)值預(yù)報結(jié)果準確性進一步提高的關(guān)鍵因素有兩個：資料誤差和模式誤差。
Based on the numerical weather prediction model and automatic weather station data, random-walk particle-puff model was used to simulate the emergency response to atmospheric accident.
基於數(shù)值天氣預(yù)報模式和自動氣象站觀測資料，採用隨機遊走粒子-菸團模式對天津市突發(fā)事故條件進行應(yīng)急示蹤模擬試騐。
It is a variational method whose constraints are represented by the dynamic model for numerical weather prediction, and is a substantial improvement on the traditional variational scheme.
伴隨模式的方法是以數(shù)值天氣預(yù)報的動力模式作爲(wèi)約束條件的變分方法，比傳統(tǒng)的變分方法有了很大的改進。

數(shù)值預(yù)報
The new generation numerical weather prediction system of China,named GRAPES(the Global and Regional Assimilation and Prediction System),and the three-dimensional variational assimilation(3DVAR) system are used to assimilate radar data and to simulate a torrential rain case.
採用中國新一代數(shù)值預(yù)報模式及其同化系統(tǒng)開展雷達資料的三維變分同化和數(shù)值模擬研究。
數(shù)值天氣預(yù)報