论文标题
量化上海热含量估计的时空变化的不确定性:国际协调的比较
Quantifying uncertainty in spatio-temporal changes of upper-ocean heat content estimates: an internationally coordinated comparison
论文作者
论文摘要
由于人类引起的活性,地球系统正在积累能量。自1970年以来,超过90%的能量已在海洋中存储在海洋中,其中约64%的700 m。然而,上海热含量异常(OHCA)的差异存在。在这里,我们评估了在仪器偏置校正和映射方法中选择的上限OHCA估计中的传播,此外还有使用常见的海洋面膜的效果。同一数据集由1970年至2008年的六个研究小组绘制,其中六个仪器偏置校正应用于消耗性沐浴者仪(XBT)数据。我们发现,使用常见的海面罩可能会影响全球OHCA的估计值为 +-13%。由于映射方法而引起的不确定性在全球范围内占主导地位,并且在印度洋以及所有盆地的涡流和额叶区域中最大。由于XBT偏置校正引起的不确定性在30 n至30s之内的太平洋中最大。在映射和XBT案例中,自1990年代以来的差异都更高。在良好的西北大西洋和南洋观察不足的南大西洋中发现了映射方法之间空间趋势的重要差异。尽管我们的结果无法确定最佳的映射或偏见校正方案,但它们确定了存在更大的不确定性,因此进一步的改进可能会产生最大的改进。我们的结果强调了未来国际协调以评估现有映射方法的性能的必要性。
The Earth system is accumulating energy due to human-induced activities. More than 90 percent of this energy has been stored in the ocean as heat since 1970, with about 64 percent of that in the upper 700 m. Differences in upper ocean heat content anomaly (OHCA) estimates, however, exist. Here, we evaluate spread in upper OHCA estimates arising from choices in instrumental bias corrections and mapping methods, in addition to the effect of using a common ocean mask. The same dataset was mapped by six research groups for 1970 to 2008, with six instrumental bias corrections applied to expendable bathythermograph (XBT) data. We find that use of a common ocean mask may impact estimation of global OHCA by +- 13 percent. Uncertainty due to mapping method dominates over XBT bias correction at a global scale and is largest in the Indian Ocean and in the eddy-rich and frontal regions of all basins. Uncertainty due to XBT bias correction is largest in the Pacific Ocean within 30N to 30S. In both mapping and XBT cases, spread is higher since the 1990s. Important differences in spatial trends among mapping methods are found in the well-observed Northwest Atlantic and the poorly-observed Southern Ocean. Although our results cannot identify the best mapping or bias correction schemes, they identify where and when greater uncertainties exist, and so where further refinements may yield the largest improvements. Our results highlight the need for a future international coordination to evaluate performance of existing mapping methods.