海温观测方法及常用海温资料数据集比较
Sea Surface Temperature Observation Methods and Comparison of Commonly Used Sea Surface Temperature Datasets
中文摘要：
对比介绍了几种常见的海温观测方法和目前气候变化分析中被广泛应用的4套海温资料集。基于不同观测整合的海温资料存在多种误差，关于这些误差已有了系统的误差分析方法，得到了质量较好、较完整的全球海温资料集ICOADS、HadISST等，它们被广泛应用于海气相互作用、模式和气候变化研究中。但是，目前海温观测资料的匮乏，无论在空间还是在时间上，仍然是各种不同时间尺度海表温度特征分析的最大障碍。因此，不断地补充新资料、改进观测方法和资料处理方法，获取全球或区域高质量长资料序列，仍然是今后海温资料分析工作的重要任务。
中文关键词：
：海温观测，海温资料，比较
KeyWords：
sea surface temperature observation, sea surface temperature data, comparison
Abstract：
Some common sea surface temperature (SST) observation methods and four datasets which are widely used in present climate change analysis are introduced and compared in this article. There are many kinds of errors including in blended SST data which is based on different observation methods. As to these errors, there already exists a systematic error analysis method and highly qualified, more sufficient datasets as ICOADS and HadISST et al are obtained. They are widely used in ocean-atmosphere interaction, climate modeling and climate change analysis. However, the temporal and spatial deficiency of observed data is still the biggest handicap for analyzing multi-scale SST characteristics. Therefore, adding newly observed dataset continuously and improving observation method and data processing method to get global and regional high-quality, and long-term datasets are still the main tasks for SST observation data analysis work.