基于WRF-3DVAR同化多源融合数据对近海风模拟的改进试验
发布时间：2019-08-19 18:45
【摘要】：本文利用WRF模式及其3DVAR同化系统,以2008年4月20日00时—23日00时的江苏近海10 m风场为研究个例,对Quik SCAT、Wind SAT、多源测风融合数据进行同化试验,通过比较WRF-3DVAR同化系统对模拟风场初始场和预报场的改进,检验了同化不同类型资料后WRF模式对研究区域内单点及区域近地层风速的预报效果。结果表明:同化试验对初始场有改进,且对预报场的改进较FNL资料明显;不同资料对风场模拟的影响不同,同化星星、星地多源融合资料效果最佳,Quik SCAT次之,Wind SAT最差。此外,在模式分辨率一定的情况下,提高观测资料的分辨率并不一定能够改善模拟效果,资料的稀疏分辨率存在最佳选择。
[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.
【作者单位】： 南京信息工程大学环境科学与工程学院;大气环境与装备技术协同创新中心;南京信息工程大学应用气象学院;江苏省气候中心;
【基金】：公益性行业(气象)科研专项(GYHY201306050)
【分类号】：P732
本文编号：2528431
[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.
【作者单位】： 南京信息工程大学环境科学与工程学院;大气环境与装备技术协同创新中心;南京信息工程大学应用气象学院;江苏省气候中心;
【基金】：公益性行业(气象)科研专项(GYHY201306050)
【分类号】：P732
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，本文编号：2528431
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