中国沿岸ERA-Interim和MERRA感热通量和潜热通量的资料评估

Evaluation of ERA-Interim and MERRA Sensible Heat Flux and Latent Heat Flux along Coast of China

  • 摘要: 选择33个沿岸代表性海洋站,采用1981—2012年海洋站观测数据统计计算中国沿岸整体的海气感热通量和潜热通量历年逐月平均值,并对ERA-Interim、MERRA两种再分析数据的感热通量和潜热通量数据进行对比检验分析,为ERA-I、MERRA热通量资料的使用提供参考。结果表明:1)历年逐月均值检验显示,两种再分析资料感热通量和潜热通量与海洋站计算结果均值差异不显著,ERA-I结果略高于海洋站结果,MERRA的均值与海洋站更接近。再分析资料的感热通量和潜热通量与海洋站相关性显著,但方差差异均明显,ERA-I与海洋站的方差差异比MERRA小。2)季节变化特征检验显示,两种再分析数据感热通量和潜热通量的季节变化时间序列与海洋站统计计算结果相关性均显著,能够较好地体现中国沿岸整体的感热通量和潜热通量季节变化特征。但也存在一些差异:2—7月中国沿岸整体的感热通量,海洋站数据明显低于再分析数据;潜热通量季节变化振幅海洋站大于再分析数据,MERRA数据季节变化振幅最小。3)年际变化特征的检验结果显示:1981—2012年,对于中国沿岸整体,ERA-I数据感热通量和潜热通量年际变化和海洋站相关性显著,均下降趋势明显,可以用于海气热通量的年际变化趋势分析;MERRA数据的感热通量年际变化略有下降趋势,但和海洋站的相关性不显著,MERRA数据潜热通量的年际变化呈略上升的趋势,与海洋站计算的潜热通量趋势明显不一致,在1981—2012年不能代表中国沿岸整体的海气热通量的年际变化特征。

     

    Abstract: In this study, data from 33 typical coastal stations (station data) during 1981-2012 were used to calculate mean monthly sensible heat fluxes and latent heat fluxes to evaluate two types of reanalysis data, i.e., the ERA-Interim (ERA-I) and the MERRA reanalysis monthly sensible flux and latent flux data. The objective was to provide a reference for the user of ERA-I or MERRA heat flux data. The results indicate that:(1) from the monthly mean sensible heat flux and latent heat flux data, neither the average of the ERA-I data nor the average of the MERRA data deviated from the station data for the whole coast of China. The mean value of MERRA monthly heat flux was closer to the mean value of the station data than ERA-I's. Both the ERA-I and MERRA data were signi ficantly correlated with station data. There were signi ficant differences in variance between the reanalysis data and the station data. The differences of variances between ERA-I data and the station data were less than those between MERRA data and the station data. (2) Analysis of the seasonal changes suggests that both ERA-I data and MERRA data have signi ficant correlations with station data for the whole coast of China. The reanalysis data could re flect the seasonal variations in sensible heat flux and latent heat flux.There are some differences noted. For example, in both sets of reanalysis data, sensible heat fluxes from February to July were greater than the station data; the amplitude of seasonal change in latent heat flux from the reanalysis data was less than the station data. The lowest seasonal changes occurred in the MERRA data. (3) The analysis of inter-annual variability from 1981 to 2012 showed that both the ERA-I heat flux data and the station heat flux data had declining trends for the whole coast of China. There was a signi ficant correlation between ERA-I data and the station data. The MERRA sensible heat flux data had a slightly declining trend. The MERRA latent heat flux data series showed a slightly increasing trend and showed different trends compared with the station latent heat fluxes. The correlation was not significant between MERRA heat flux and station heat flux. The heat flux data from MERRA did not represent the inter-annual change features for the whole China coast.

     

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