Stability Assessment of the (A)ATSR Sea Surface Temperature Climate Dataset from the European Space Agency Climate Change Initiative
Stability Assessment of the (A)ATSR Sea Surface Temperature Climate Dataset from the European Space Agency Climate Change Initiative
复制标题
DOI：
10.3390/rs10010126
复制
发表时间：
2018-01
期刊：
影响因子：
--
通讯作者：
D. Berry;G. Corlett;Owen Embury;C. Merchant
中科院分区：
文献类型：
--
作者：
D. Berry;G. Corlett;Owen Embury;C. Merchant
海洋表面温度是气候记录的一个关键组成部分，多个独立的记录使人们对观测到的变化充满信心。作为欧洲空间机构气候变化倡议的一部分，对卫星档案进行了再处理，目的是创建一个新的数据集，该数据集独立于现场观测，并且稳定，没有人为漂移(全球0.1K十年−1)或阶跃变化。提出了一种应用于聚合时间序列的惩罚最大t检验(PMT)来估计卫星海面温度(SST)阶跃变化记录的方法。我们使用7公里网格上平均的ESA SST CCI数据集EXP1.8版的数据以及对系泊浮标、漂流浮标和Argo浮标的现场观测，演示了该方法的应用。CCI数据集在1994年后保持稳定，与现场观测数据之间的偏差很小(~0.01K十年−1)。由于ERS-2卫星上的陀螺仪故障，确定了两个步骤，并采用了随后的纠正机制。这些对稳定性的影响很小，因为它们具有相同的幅度但相反的迹象。对该方法的统计能力和误警率进行了评估。
Sea surface temperature is a key component of the climate record, with multiple independent records giving confidence in observed changes. As part of the European Space Agencies (ESA) Climate Change Initiative (CCI) the satellite archives have been reprocessed with the aim of creating a new dataset that is independent of the in situ observations, and stable with no artificial drift (<0.1 K decade−1 globally) or step changes. We present a method to assess the satellite sea surface temperature (SST) record for step changes using the Penalized Maximal t Test (PMT) applied to aggregate time series. We demonstrated the application of the method using data from version EXP1.8 of the ESA SST CCI dataset averaged on a 7 km grid and in situ observations from moored buoys, drifting buoys and Argo floats. The CCI dataset was shown to be stable after ~1994, with minimal divergence (~0.01 K decade−1) between the CCI data and in situ observations. Two steps were identified due to the failure of a gyroscope on the ERS-2 satellite, and subsequent correction mechanisms applied. These had minimal impact on the stability due to having equal magnitudes but opposite signs. The statistical power and false alarm rate of the method were assessed.