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本文使用HYCOM数值模式,根据两种海气通量数据集(COADS、ECMWF)和两种海气通量块体参数化方案(常数块体参数化方案和非常数块体参数化方案)的不同结合,构成4组数值实验,分别模拟了赤道及北太平洋的气候态海表温度。实验结果表明:1)在本文的实验中,非常数块体参数化方案优于常数块体参数化方案;在太平洋40°N-20°S区域内,采用前者得到的年平均海表温度比Pathfinder卫星资料高约0.21°C,而采用后者得到的年平均海表温度比Pathfinder卫星资料高约0.63°C。2)HYCOM数值模式很好的模拟了赤道及北太平洋的气候态海表温度变化及西太平洋暖池空间分布的月变化。特别是实验2(采用COADS数据集和非常数块体参数化方案),在太平洋40°N-20°S区域内,冬春两季平均SST仅比Pathfinder卫星数据集高0.02°C。3)不同的海气通量数据会对模式结果产生明显的影响。对比采用COADS数据集的实验2结果与采用ECMWF数据集的实验4结果可以发现,在模拟区域的西北部,实验2比实验4的年平均SST高约1°C;在模拟区域的东南部,实验4比实验2的年平均SST高约1°C。两者差的最大值出现在58°N、140°E附近及中国渤海,约为4°C(实验2比实验4的年平均SST高约4°C)。
In this paper, the HYCOM numerical model is used. According to the difference between the two kinds of seawater flux data sets (COADS, ECMWF) and two seawater flux block parameterization schemes (constant block parameterization and non-constant block parameterization) Four numerical experiments were conducted to simulate the climatological sea surface temperature in the equatorial and northern Pacific respectively. The experimental results show that: 1) In the experiment of this paper, the non-constant block parameterization scheme is superior to the constant block parameterization scheme; in the Pacific 40 ° N-20 ° S area, the former average sea surface temperature ratio The Pathfinder satellite data is about 0.21 ° C high, whereas the latter is used to obtain an average annual sea surface temperature of about 0.63 ° C higher than the Pathfinder satellite data. 2) The HYCOM numerical model well simulates the monthly variations of the climatological surface sea temperature in the equatorial and northern Pacific and the spatial distribution of the western Pacific warm pool. Especially in Experiment 2 (using COADS dataset and non-constant block parameterization scheme), in the Pacific 40 ° N-20 ° S region, the average SST in winter and spring was only 0.02 ° C higher than that in the Pathfinder satellite dataset. 3) Different air-sea flux data will have a significant impact on the model results. In contrast to experiment 2 using the COADS dataset and experiment 4 using the ECMWF dataset, it is found that experiment 2 is about 1 ° C higher than the annual average SST of experiment 4 in the northwest of the simulation area; in the southeast of the simulation area, Experiment 4 is about 1 ° C higher than the annual mean SST of Experiment 2. The average SST of Experiment 2 is about 1 ° C. The maximum difference between the two occurs at around 58 ° N and 140 ° E and around 4 ° C in the Bohai Sea, China (Experiment 2 is about 4 ° C above the annual mean SST of Experiment 4).