【摘要】：本文利用WRF模式及其3DVAR同化系統(tǒng),以2008年4月20日00時—23日00時的江蘇近海10 m風場為研究個例,對Quik SCAT、Wind SAT、多源測風融合數(shù)據(jù)進行同化試驗,通過比較WRF-3DVAR同化系統(tǒng)對模擬風場初始場和預(yù)報場的改進,檢驗了同化不同類型資料后WRF模式對研究區(qū)域內(nèi)單點及區(qū)域近地層風速的預(yù)報效果。結(jié)果表明:同化試驗對初始場有改進,且對預(yù)報場的改進較FNL資料明顯;不同資料對風場模擬的影響不同,同化星星、星地多源融合資料效果最佳,Quik SCAT次之,Wind SAT最差。此外,在模式分辨率一定的情況下,提高觀測資料的分辨率并不一定能夠改善模擬效果,資料的稀疏分辨率存在最佳選擇。
[Abstract]:In this paper, the WRF model and its 3DVAR assimilation system are used to study the 10 m wind field in Jiangsu offshore from 00:00 to 00:00 on April 20, 2008. the assimilation experiment of Quik SCAT,Wind SAT, multi-source wind fusion data is carried out. by comparing the improvement of the initial field and prediction field of simulated wind field by WRF-3DVAR assimilation system, the prediction effect of WRF model on single point and regional near formation wind speed in the study area is tested by comparing the improvement of WRF-3DVAR assimilation system to the initial field and prediction field of simulated wind field. The results show that the assimilation test improves the initial field, and the improvement of the prediction field is more obvious than that of FNL data, and the influence of different data on wind field simulation is different, assimilation stars, star-ground multi-source fusion data, the best effect of, Quik SCAT is the worst., Wind SAT is the worst. In addition, under the condition of a certain mode resolution, improving the resolution of the observed data does not necessarily improve the simulation effect, and there is the best choice for the sparse resolution of the data.
【作者單位】： 南京信息工程大學(xué)環(huán)境科學(xué)與工程學(xué)院;大氣環(huán)境與裝備技術(shù)協(xié)同創(chuàng)新中心;南京信息工程大學(xué)應(yīng)用氣象學(xué)院;江蘇省氣候中心;
【基金】：公益性行業(yè)(氣象)科研專項(GYHY201306050)
【分類號】：P732

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