环渤海沿岸海表温度资料的均一性检验与订正

发布时间：2018-06-23 13:55

本文选题：惩罚最大F检验 + PMFT　；参考：《海洋学报》2016年03期

【摘要】：本文对环渤海沿岸具有代表性且资料完整的6个海洋观测站的月均海表温度(SST)序列作均一性检验和订正。我国海洋观测站密集度低,难以选择参考序列,本文首先采用不依赖参考序列的惩罚最大F检验(PMFT)方法对SST序列检验,利用详尽的元数据对检验结果进行确认,再对不连续点订正,该方法适用于元数据详尽的海洋观测站。对于元数据不详尽的观测站,使用惩罚最大T检验(PMT)方法,选取与海洋台站距离近且相关显著的气象观测站的均一化地面气温序列来制作参考序列,对SST序列进行检验和订正。结果表明,环渤海地区SST序列都存在一定非均一性,观测站较大距离迁移和观测系统变更(从人工观测到自动化观测)是造成非均一性的重要原因。订正后的环渤海地区年平均SST增温趋势更加明显。本文使用不同方法来检验SST序列的均一性,该思路对沿海其他海区观测站SST均一性检验和订正有一定参考价值和应用前景,可为沿海气候变化研究提供科学准确的第一手资料。
[Abstract]:In this paper, the monthly mean sea surface temperature (SST) sequences of 6 marine observatories with representative and complete data along the Bohai Sea coast are examined and revised. Because of the low density of ocean observatories in China, it is difficult to select reference sequences. In this paper, the maximum penalty F test (PMFT) method, which does not depend on reference sequences, is first used to test SST sequences, and the detailed metadata is used to confirm the test results. Then the discontinuous points are corrected and the method is applied to ocean observation stations with detailed metadata. For those stations whose metadata is not exhaustive, the penalty maximum T test (PMT) method is used to make the reference series by selecting the homogeneous surface temperature series of meteorological stations close to the oceanic stations and with significant correlation. The SST series is tested and revised. The results show that there is a certain heterogeneity in SST sequences around the Bohai Sea, and the large distance migration of observation stations and the change of observation system (from manual observation to automatic observation) are the important reasons for the heterogeneity. The trend of annual average SST temperature increase is more obvious in Bohai Rim. In this paper, different methods are used to test the uniformity of SST sequence. This idea has certain reference value and application prospect for the test and correction of SST homogeneity in other coastal sea area observation stations, and can provide scientific and accurate first-hand data for the study of coastal climate change.
【作者单位】：国家海洋信息中心;国家海洋局海洋—大气化学与全球变化重点实验室;
【基金】：国家自然科学基金项目(41106004;41376014) 国家海洋局海洋-大气化学与全球变化重点实验室开放基金(GCMAC1402);国家海洋局公益性行业科研专项经费项目(201005019) 国家科技支撑计划项目(2014BAB12B00) 天津市科技计划项目(14ZCZDSF00012)
【分类号】：P731.11;P714.1

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