A New Method for Estimation of the Sensible Heat Flux under Unstable Conditions Using Satellite Vector Winds
A New Method for Estimation of the Sensible Heat Flux under Unstable Conditions Using Satellite Vector Winds
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利用卫星矢量风估算不稳定条件下感热通量的新方法
DOI：
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发表时间：
2004
期刊：
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通讯作者：
Q. Zheng
中科院分区：
文献类型：
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作者：
Jiayi Pan;Xiao;Hai Yan;Young;JO Heon;Q. Zheng
由于难以对海平面温度进行远程观测，利用卫星资料估算海气界面的感热通量一直存在困难。本文提出了一种利用卫星观测资料估算不稳定条件下的感热通量的新方法。该方法的基本思想是海气温差与大气辐合有关。采用的数据包括风辐合、海平面湿度和海面温度。这些参数分别来自卫星风矢量、特殊传感器微波成像仪（SSM/I）可降水量和先进甚高分辨率辐射计（AVHRR）观测。作者选择了日本东部全年出现大气辐合的地区作为试验区。比较卫星资料和NCEP资料得出的热通量，在日本以东海域，两种感热通量的均方根差值较低，最小值为10.0 W m22。两种感热通量在该区10个地点的时间序列一致，均势差在10.0 ~ 14.1 W m22之间，相关系数均大于0.7。此外，还利用美国国家航空航天局（NASA）戈达德卫星地表湍流通量（GSSTF）进行了进一步的比较。日本以东地区也存在高相关系数（0.0.7）的低均方根区，最小值为12.2 W m22。考虑到月平均的非线性计算，作者认为与GSSTF的比较与NCEP数据的比较是一致的。
It has been difficult to estimate the sensible heat flux at the air‐sea interface using satellite data because of the difficulty in remotely observing the sea level air temperature. In this study, a new method is developed for estimating the sensible heat flux using satellite observations under unstable conditions. The basic idea of the method is that the air‐sea temperature difference is related to the atmospheric convergence. Employed data include the wind convergence, sea level humidity, and sea surface temperature. These parameters can be derived from the satellite wind vectors, Special Sensor Microwave Imager (SSM/I) precipitable water, and Advanced Very High Resolution Radiometer (AVHRR) observations, respectively. The authors selected a region east of Japan as the test area where the atmospheric convergence appears all year. Comparison between the heat fluxes derived from the satellite data and from the National Centers for Environmental Prediction (NCEP) data suggests that the rms difference between the two kinds of sensible heat fluxes has low values in the sea area east of Japan with a minimum of 10.0 W m22. The time series of the two kinds of sensible heat fluxes at 10 locations in the area are in agreement, with rms difference ranging between 10.0 and 14.1 W m22 and correlation coefficient being higher than 0.7. In addition, the National Aeronautics and Space Administration (NASA) Goddard SatelliteBased Surface Turbulent Flux (GSSTF) was used for a further comparison. The low-rms region with high correlation coefficient (.0.7) was also found in the region east of Japan with a minimum of 12.2 W m22. Considering the nonlinearity in calculation of the sensible monthly means, the authors believe that the comparison with GSSTF is consistent with that with NCEP data.