ON THE POSSIBILITY OF USING REANALYSIS DATA TO ESTIMATE THE WATER TEMPERATURE OF THE CASPIAN SEA

A. Yeltay
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Abstract

Water temperature is one of the important hydrometeorological characteristics of large bodies of water, because of its influence on biological and chemical processes. In this work, water temperature data from coastal observation points of Kazakhstan and remote sensing data of the Earth, such as satellite images, and reanalysis, were considered. In the longterm context, in the Kazakh sector of the Caspian Sea, the water temperature ranged from 10.8 ⁰С (Peshnoi) to 12.7 ⁰С (Kulaly Island). The effectiveness of the use of reanalysis data with the use of statistical criteria was evaluated. These quality criteria characterize the reliability of the results, and ERA5 realism data are effective and can be used for analysis, and research. All the databases under consideration showed that SST the average monthly minimum values are observed in January, and the maximum values are observed in the summer period. The change in water temperature over the years has a positive trend.
关于利用再分析资料估计里海水温的可能性
由于水温对生物和化学过程的影响,它是大型水体的重要水文气象特征之一。本文考虑了哈萨克斯坦沿海观测点的水温数据和地球遥感数据,如卫星图像和再分析。在长期背景下,在里海的哈萨克斯坦地区,水温范围从10.8⁰С (Peshnoi)到12.7⁰С (Kulaly岛)。利用统计标准对再分析数据的有效性进行了评价。这些质量标准表征了结果的可靠性,ERA5真实性数据是有效的,可以用于分析和研究。所有数据均表明,月平均海温最小值出现在1月,最大值出现在夏季。多年来水温的变化呈正趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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