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基于海气耦合浮标分析北欧海夏季海气热通量及其对ERA-Interim/OAFlux的评估 被引量:2
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作者 刘喻道 高郭平 +2 位作者 赵进平 矫玉田 王晓宇 《上海海洋大学学报》 CAS CSCD 北大核心 2018年第1期149-160,共12页
基于2012年我国首次在北欧海进行了23 d连续的现场浮标观测的海表面空气温度、湿度、风速和海表皮温等观测资料,利用COARE 3.5块体算法计算得到海气界面湍流热通量,感热通量为9.34 W/m^2,潜热通量为31.55 W/m^2(海洋向大气为正)。ERA-In... 基于2012年我国首次在北欧海进行了23 d连续的现场浮标观测的海表面空气温度、湿度、风速和海表皮温等观测资料,利用COARE 3.5块体算法计算得到海气界面湍流热通量,感热通量为9.34 W/m^2,潜热通量为31.55 W/m^2(海洋向大气为正)。ERA-Interim和OAFlux是国际通用的海洋气象数据集,将浮标观测结果与两类数据集进行了对比分析和验证。结果显示:北欧海暖流区夏季海气温差对于海气界面的感热输送起到主要影响作用,而在中低风速(<10 m/s)的情况下对潜热输送起主导作用的是海气间的湿度差。在夏季北欧海暖流区域内ERA-Interim和OAFlux相对于使用COARE计算的浮标感热通量分别偏高和偏低12.58%与26.33%,造成差异的主要因素是两个数据集对海表皮温和海表气温的估算误差;ERA-Interim和OAFlux对潜热通量分别偏高17.54%和7.76%,造成差异的原因是对海表空气湿度的估算误差。 展开更多
关键词 浮标观测 北欧海 热通量 COARE 3.5 oaflux ERA-INTERIM
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南黄海海气热通量观测及其与OAflux数据集比较研究 被引量:3
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作者 肖斌 乔方利 吕连港 《海洋科学进展》 CAS CSCD 北大核心 2013年第1期43-54,共12页
2007年在南黄海进行了3个航次的热通量观测,包括长、短波辐射,近海表空气温度、湿度,风速,海表皮温等观测数据。依据计算的冬季、春季、秋季三个航次的海气热通量分析了热通量不同季节特征,南黄海海域冬季、春季和秋季平均潜热通量分别... 2007年在南黄海进行了3个航次的热通量观测,包括长、短波辐射,近海表空气温度、湿度,风速,海表皮温等观测数据。依据计算的冬季、春季、秋季三个航次的海气热通量分析了热通量不同季节特征,南黄海海域冬季、春季和秋季平均潜热通量分别为80.7W/m2,5.6W/m2和142.1W/m2,感热通量分别为32.0W/m2,-12.5W/m2和18.9W/m2(海洋向大气传递为正)。将国际较为通用的OAflux数据集与3个季节观测数据做了逐点的比对,作为对OAflux数据集在南黄海海域的评估,结果显示:OAflux数据集热通量结果与观测数据在2006—2007年冬季最为接近,感热和潜热通量均方差是15.3W/m2和21.4W/m2。春季的潜热通量存在明显偏差,均方差为28.4W/m2。秋季的感热和潜热通量均存在显著偏差,均方差分别为20.5W/m2和57.5W/m2。导致春季偏差的主要原因是OAflux数据集和现场观测的近海表空气湿度差异,而秋季偏差则应主要归因于海表温度的偏差。 展开更多
关键词 热通量观测 南黄海 COARE3 0 oaflux
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An evaluation of new satellite-derived latent and sensible heat fluxes with moored buoy data, OAFlux and NCEP2 reanalysis products 被引量:1
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作者 ZHANG Lei SHI Hanqing 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2017年第9期27-38,共12页
New satellite-derived latent and sensible heat fluxes are performed by using Wind Sat wind speed, Wind Sat sea surface temperature, the European Centre for Medium-range Weather Forecasting(ECMWF) air humidity, and E... New satellite-derived latent and sensible heat fluxes are performed by using Wind Sat wind speed, Wind Sat sea surface temperature, the European Centre for Medium-range Weather Forecasting(ECMWF) air humidity, and ECMWF air temperature from 2004 to 2014. The 55 moored buoys are used to validate them by using the 30 min and 25 km collocation window. Furthermore, the objectively analyzed air-sea heat fluxes(OAFlux) products and the National Centers for Environmental Prediction-National Center for Atmospheric Research reanalysis 2(NCEP2) products are also used for global comparisons. The mean biases of sensible and latent heat fluxes between Wind Sat flux results and buoy flux data are –0.39 and –8.09 W/m^2, respectively. In addition, the rootmean-square(RMS) errors of the sensible and latent heat fluxes between them are 5.53 and 24.69 W/m^2,respectively. The RMS errors of sensible and latent heat fluxes are observed to gradually increase with an increasing buoy wind speed. The difference shows different characteristics with an increasing sea surface temperature, air humidity, and air temperature. The zonal average latent fluxes have some high regions which are mainly located in the trade wind zones where strong winds carry dry air in January, and the maximum value centers are found in the eastern waters of Japan and on the US east coast. Overall, the seasonal variability is pronounced in the Indian Ocean, the Pacific Ocean, and the Atlantic Ocean. The three sensible and latent heat fluxes have similar latitudinal dependencies; however, some differences are found in some local regions. 展开更多
关键词 latent and sensible heat fluxes WindSat ECMWF reanalysis data oaflux
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