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  本文選題：潛熱通量　切入點：感熱通量　出處：《中國海洋大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：海洋和大氣都是地球氣候系統(tǒng)的主要組成部分，海洋主要是通過向大氣輸送熱量來影響大氣運動，大氣則通過風(fēng)應(yīng)力的形式改變洋流、重新分配海洋中儲存的熱量，它們相互聯(lián)系相互影響，大尺度海氣耦合相互作用對于地球氣候形成和變化有重要意義。海氣界面的潛熱和感熱對于全球的能量收支平衡、水平衡具有重大意義。本文對比分析了五種全球海氣界面熱通量產(chǎn)品1996-2005年期間的月平均潛熱和感熱通量數(shù)據(jù)。 本文首先對比分析了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再分析資料（the National Centers for Environmental Prediction and the National Center forAtmospheric Research Reanalysis dataset）與OAFLUX（the Objectively AnalyzedAir Sea Fluxes for the Global Oceans data set）五種產(chǎn)品的月平均潛熱通量，研究顯示五種產(chǎn)品多年平均潛熱通量的全球分布模式和緯向分布模式基本一致，差異主要分布在信風(fēng)帶和高緯度海域；三種衛(wèi)星產(chǎn)品（GSSTF3、HOAPS3、J-OFURO2）的潛熱通量較為接近，三種產(chǎn)品相互之間的均方根誤差都小于20W/m2，OAFLUX與NCEP再分析資料較為相近，均方根誤差小于20W/m2，相關(guān)系數(shù)均高于0.90。三種衛(wèi)星產(chǎn)品與NCEP再分析資料之間差異較大，均方根誤差大于20W/m2，相關(guān)系數(shù)低于0.90。五種產(chǎn)品兩兩比較均方根誤差最小的是GSSTF3與HOAPS3（14.15W/m2），最大的是GSSTF3與NCEP（25.93W/m2）；相關(guān)系數(shù)最小的是HOAPS3與NCEP（0.87）、GSSTF3與OAFLUX（0.87），最大的是GSSTF3與HOAPS3（0.97）。 對比分析五種全球海氣界面熱通量產(chǎn)品的月平均感熱通量發(fā)現(xiàn)，HOAPS3在南半球高緯度海域的平均感熱通量高于其他四種產(chǎn)品；在40°S~60°N之間的海域，五種產(chǎn)品的平均感熱通量緯向分布模式基本一致，較大差異主要存在于南、北半球的高緯度海域；HOAPS3與其他四種產(chǎn)品的相關(guān)系數(shù)均低于0.70，標(biāo)準(zhǔn)偏差和均方根誤差都大于10W/m2；GSSTF3、J-OFURO2、NCEP再分析資料與OAFLUX彼此之間的平均感熱通量差值較小，產(chǎn)品間均方根誤差較小。五種產(chǎn)品兩兩比較均方根誤差最小的是J-OFURO2與GSSTF3（6.29W/m2），最大的是J-OFURO2與HOAPS3（15.92W/m2）；相關(guān)系數(shù)最小的是J-OFURO2與HOAPS3（0.45），最大的是GSSTF3與NCEP（0.93）。 比較五種產(chǎn)品的月平均潛熱、感熱通量發(fā)現(xiàn)，全球海氣界面潛熱通量和感熱通量的全球分布、緯向分布模式一致，潛熱通量的差異主要存在于信風(fēng)帶和南北半球高緯度海域，感熱通量的差異主要存在于南北半球高緯度海域。三種衛(wèi)星產(chǎn)品與NCEP再分析資料、OAFLUX的潛熱通量差異較大，，HOAPS3與其他四種產(chǎn)品的感熱通量差異較大。
[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 擄Sand and 60 擄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.
【學(xué)位授予單位】：中國海洋大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：P732;P714.2

【參考文獻】

相關(guān)期刊論文 前1條

1 王桂華;黃韋艮;王輝;;利用HOAPS資料研究南海海氣界面熱通量時空分布[J];海洋學(xué)報(中文版);2006年04期

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