Sea surface temperature analysis in the Baltic Sea

This analysis examines sea surface temperature (SST) dynamics over the Baltic Sea and Pärnu Bay from 01.01.2013–31.12.2022. Using data extracted from the Copernicus Marine Environment Monitoring Service (CMEMS), it focuses on:

The number of average days in a year when SST exceeds a reference temperature (T0).
Year-month mean SST time series for both the Baltic Sea and Pärnu Bay.
The extracted data includes precise coordinates and variables, such as seawater potential temperature (thetao) at a depth of 1.5 meters. The analysis highlights temporal trends and temperature variability, with visualizations generated using Python script generated by ChatGPT model 4o. This work contributes to understanding the region's SST patterns over a decade.

本研究分析了2013年1月1日至2022年12月31日期间波罗的海与帕尔努湾的海表面温度（Sea Surface Temperature, SST）动态变化。本研究采用取自哥白尼海洋环境监测服务（Copernicus Marine Environment Monitoring Service, CMEMS）的数据，重点研究内容包括：年海表面温度超过参考温度（T0）的平均天数；波罗的海与帕尔努湾的年月平均海表面温度时间序列。所提取的数据包含精确坐标与相关变量，例如深度1.5米处的海水位温（Potential Temperature, thetao）。本分析揭示了该区域的时间变化趋势与温度变异性，其可视化成果由ChatGPT 4o模型生成的Python脚本绘制完成。本研究可为理解该区域十年间的海表面温度变化模式提供支撑。