黑海风浪场参数的年际变化

IF 0.7 Q4 OCEANOGRAPHY
P. Lishaev, V. Knysh, G. Korotaev
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引用次数: 0

摘要

意图该研究旨在提高黑海上层温度场重建的准确性。为此,之前通过测高和Argo浮标数据计算的海面温度的卫星观测以及温度(50–500米层)和盐度(2.5–500米)的三维伪测量场,被联合纳入海洋水文研究所的模型中。方法和结果。如果海面温度和模型温度之间的差异是从上层混合层深度一直外推到下层边界的,那么对海面温度卫星观测的同化是最有效的工具。经过分析,2012年预测计算和Argo浮子测量得出的温度剖面可以获得一个确定上层混合层深度的简单标准(与模型网格绑定),即温度梯度小于或等于≤0.017°C/m的层位。在上层混合层深度内,在传热方程中使用了卫星温度测量的微调程序,其中考虑了选定的弛豫因子和测量误差。通过先前提出的自适应统计方法,在模型中同化了温度和盐度伪测量。为了检验海面温度同化的结果,对2012年的黑海水物理场进行了重新分析。冬春期(1月至4月、12月)的特点是上层混合层深度高,Pacanowski–Philander参数化可很好地再现,模拟温度场的盆地平均月均方差值(与实测值相比)低。7月至9月均方偏差增加的原因是Argo浮子测量的温度剖面中没有上层混合层,而Pacanowski–Philander参数化没有重现这种情况。结论。实现了将海面温度与根据测高数据重建的温度和盐度伪测量剖面同化的算法。通过应用温度垂直剖面估计的上层混合层深度,可以通过卫星导出的海面温度有效地校正模型温度,尤其是在冬春季节。它允许以可接受的精度重建2012年海洋上层的温度场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interannual Variability of the Wind-Wave Regime Parameters in the Black Sea
Purpose. The investigation is aimed at increasing accuracy of the temperature field reconstruction in the Black Sea upper layer. For this purpose, satellite observations of the sea surface temperature and the three-dimensional fields of temperature (in the 50–500 m layer) and salinity (in the 2.5–500 m layer) pseudo-measurements, previously calculated by the altimetry and the Argo floats data, were jointly assimilated in the Marine Hydrophysical Institute model. Methods and Results. Assimilation of the sea surface temperature satellite observations is the most effective instrument in case the discrepancies between the sea surface and the model temperatures are extrapolated over the upper mixed layer depth up to its lower boundary. Having been analyzed, the temperature profiles resulted from the forecast calculation for 2012 and from the Argo float measurements made it possible to obtain a simple criterion (bound to the model grid) for determining the upper mixed layer depth, namely the horizon on which the temperature gradient was less or equal to ≤ 0.017 °C/m. Within the upper mixed layer depth, the nudging procedure of satellite temperature measurements with the selected relaxation factor and the measurement errors taken into account was used in the heat transfer equation. The temperature and salinity pseudo-measurements were assimilated in the model by the previously proposed adaptive statistics method. To test the results of the sea surface temperature assimilation, the Black Sea hydrophysical fields were reanalyzed for 2012. The winter-spring period (January – April, December) is characterized by the high upper mixed layer depths, well reproducible by the Pacanowski – Philander parameterization, and also by the low values (as compared to the measured ones) of the basin-averaged monthly mean square deviations of the simulated temperature fields. The increased mean square deviations in July – September are explained by absence of the upper mixed layer in the temperature profiles measured by the Argo floats that is not reproduced by the Pacanowski – Philander parameterization. Conclusions. The algorithm for assimilating the sea surface temperature together with the profiles of the temperature and salinity pseudo-measurements reconstructed from the altimetry data was realized. Application of the upper mixed layer depths estimated by the temperature vertical profiles made it possible to correct effectively the model temperature by the satellite-derived sea surface temperature, especially for a winter-spring period. It permitted to reconstruct the temperature fields in the sea upper layer for 2012 with acceptable accuracy.
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来源期刊
Physical Oceanography
Physical Oceanography OCEANOGRAPHY-
CiteScore
1.80
自引率
25.00%
发文量
8
审稿时长
24 weeks
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