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海气界面潜热通量和感热通量数据产品对比研究

发布时间:2018-03-13 04:00

  本文选题:潜热通量 切入点:感热通量 出处:《中国海洋大学》2014年硕士论文 论文类型:学位论文


【摘要】:海洋和大气都是地球气候系统的主要组成部分,海洋主要是通过向大气输送热量来影响大气运动,大气则通过风应力的形式改变洋流、重新分配海洋中储存的热量,它们相互联系相互影响,大尺度海气耦合相互作用对于地球气候形成和变化有重要意义。海气界面的潜热和感热对于全球的能量收支平衡、水平衡具有重大意义。本文对比分析了五种全球海气界面热通量产品1996-2005年期间的月平均潜热和感热通量数据。 本文首先对比分析了GSSTF3(the Goddard Satellite-Based Surface TurbulentFluxes data set version3),HOAPS3(the Hamburg Ocean Atmosphere Parametersand Fluxes from Satellite Data version3),J-OFURO2(the Japanese Ocean FluxesData Sets with Use of Remote Sensing Observations version2),NCEP再分析资料(the National Centers for Environmental Prediction and the National Center forAtmospheric Research Reanalysis dataset)与OAFLUX(the Objectively AnalyzedAir Sea Fluxes for the Global Oceans data set)五种产品的月平均潜热通量,研究显示五种产品多年平均潜热通量的全球分布模式和纬向分布模式基本一致,差异主要分布在信风带和高纬度海域;三种卫星产品(GSSTF3、HOAPS3、J-OFURO2)的潜热通量较为接近,三种产品相互之间的均方根误差都小于20W/m2,OAFLUX与NCEP再分析资料较为相近,均方根误差小于20W/m2,相关系数均高于0.90。三种卫星产品与NCEP再分析资料之间差异较大,均方根误差大于20W/m2,相关系数低于0.90。五种产品两两比较均方根误差最小的是GSSTF3与HOAPS3(14.15W/m2),最大的是GSSTF3与NCEP(25.93W/m2);相关系数最小的是HOAPS3与NCEP(0.87)、GSSTF3与OAFLUX(0.87),最大的是GSSTF3与HOAPS3(0.97)。 对比分析五种全球海气界面热通量产品的月平均感热通量发现,HOAPS3在南半球高纬度海域的平均感热通量高于其他四种产品;在40°S~60°N之间的海域,五种产品的平均感热通量纬向分布模式基本一致,较大差异主要存在于南、北半球的高纬度海域;HOAPS3与其他四种产品的相关系数均低于0.70,标准偏差和均方根误差都大于10W/m2;GSSTF3、J-OFURO2、NCEP再分析资料与OAFLUX彼此之间的平均感热通量差值较小,产品间均方根误差较小。五种产品两两比较均方根误差最小的是J-OFURO2与GSSTF3(6.29W/m2),最大的是J-OFURO2与HOAPS3(15.92W/m2);相关系数最小的是J-OFURO2与HOAPS3(0.45),最大的是GSSTF3与NCEP(0.93)。 比较五种产品的月平均潜热、感热通量发现,全球海气界面潜热通量和感热通量的全球分布、纬向分布模式一致,潜热通量的差异主要存在于信风带和南北半球高纬度海域,感热通量的差异主要存在于南北半球高纬度海域。三种卫星产品与NCEP再分析资料、OAFLUX的潜热通量差异较大,,HOAPS3与其他四种产品的感热通量差异较大。
[Abstract]:The oceans and the atmosphere are both major components of the Earth's climate system. The oceans affect atmospheric movements mainly through the transfer of heat to the atmosphere, and the atmosphere redistributes the heat stored in the oceans by changing ocean currents in the form of wind stresses. They interact with each other, and the large-scale air-sea interaction is important for the formation and change of the Earth's climate. The latent heat and sensible heat at the air-sea interface contribute to the global energy balance. Water balance is of great significance. In this paper, the monthly mean latent heat flux and sensible heat flux data of five global air-sea interface heat flux products from 1996 to 2005 are compared and analyzed. In this paper, we compare the GSSTF3(the Goddard Satellite-Based Surface TurbulentFluxes dataset version 3 with the Hamburg Ocean Atmosphere Parametersand Fluxes from Satellite Data Data version 3 and the Japanese Ocean FluxesData FluxesData Sets Use of Remote Sensing Sensing Observations version 2NCEP reanalysis data of the Observations Centers Environmental Prediction and the Center forAtmospheric forAtmospheric forAtmospheric #en3dataset forAtmospheric forAtmospheric and Objectively AnalyzedAir Fluxes Fluxes the the the. Average monthly latent heat flux of seed products, The results show that the global distribution model and zonal distribution model of the annual mean latent heat flux of the five products are basically the same, and the differences are mainly in the signal wind belt and the high latitude sea area, and the latent heat flux of the three satellite products GSSTF3 / HOAPS3 / J-OFUROO _ 2 is relatively close. The root mean square error (RMS) of the three products is less than 20W / m2OAFLUX and NCEP reanalysis data, the RMS error is less than 20W / m2, and the correlation coefficient is higher than 0.90.There is a great difference between the three satellite products and NCEP reanalysis data. The root mean square error (RMS) is greater than 20W / m2, the correlation coefficient is lower than 0.90.The lowest RMS error is GSSTF3 and HOAPS3 14.15W / m2, the largest is GSSTF3 and NCEP25.93W / m2, and the least correlation coefficient is HOAPS3 and NCEP0.87GSSTF3 and OAFLUXP0.87. the largest is GSSTF3 and HOAPS30.97. A comparative analysis of the monthly average sensible heat flux of five global air-sea interface heat flux products shows that the average sensible heat flux of HOAPS3 in the high latitudes of the Southern Hemisphere is higher than that of the other four products, and in the sea area between 40 掳Sand and 60 掳N. The zonal distribution pattern of the average sensible heat flux of the five products is basically the same, and the major difference is mainly in the south. The correlation coefficient between HOAPS3 and the other four products is lower than 0.70, and the standard deviation and root mean square error are higher than 10W / m2 GSSTF3J -OFURO2NCEP reanalysis data. The average sensible heat flux difference between HOAPS3 and OAFLUX is smaller. The root-mean-square error (RMS) of the five products was the smallest in the comparison of J-OFURO _ 2 and GSSTF _ 3 6.29 W / m ~ (2), the largest was J-OFURO _ 2 and HOAPS _ (3) W / m ~ (2), the correlation coefficient was the lowest in J-OFURO _ 2 and HOAPS30.45, and the largest was GSSTF3 and NCEP _ (0.93). Comparing the monthly mean latent heat and sensible heat flux of the five products, it is found that the global distribution of latent heat flux and sensible heat flux at the global air-sea interface is consistent with the zonal distribution pattern, and the difference of latent heat flux mainly exists in the trade wind zone and the high latitudes of the northern and southern hemispheres. The difference of sensible heat flux is mainly in the high latitudes of the northern and southern hemisphere.The difference of latent heat flux between the three satellite products and the NCEP reanalysis data is larger than that of HOAPS3 and the other four products.
【学位授予单位】:中国海洋大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:P732;P714.2

【参考文献】

相关期刊论文 前1条

1 王桂华;黄韦艮;王辉;;利用HOAPS资料研究南海海气界面热通量时空分布[J];海洋学报(中文版);2006年04期



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