Abstract. This paper presents an updated estimation of the bottom-up global surface seawater dimethyl sulfide (DMS) climatology. This update, called DMS-Rev3, is the third of its kind and includes five significant changes from the last climatology, ‘L11’ (Lana et al., 2011) that was released about a decade ago. The first change is the inclusion of new observations that have become available over the last decade, creating a database of 872,427 observations leading to a ~18-fold increase in raw data as compared to the last estimation The second is significant improvements in data handling, processing, and filtering, to avoid biases due to different observation frequencies which results from different measurement techniques. Thirdly, we incorporate the dynamic seasonal changes observed in the geographic boundaries of the ocean biogeochemical provinces. The fourth change involves the refinement of the interpolation algorithm used to fill in the missing data. And finally, an upgraded smoothing algorithm based on observed DMS variability length scales (VLS) helps to reproduce a more realistic distribution of the DMS concentration data. The results show that DMS-Rev3 estimates the global annual mean DMS concentration to be ~1.87 nM (2.35 nM without a sea-ice mask), i.e., about 4 % lower than the previous bottom-up ‘L11’ climatology. However, significant regional differences of more than 100 % as compared to L11 are observed. The global sea to air flux of DMS is estimated at ~27 TgS yr⁻¹ which is about 4 % lower than L11, although, like the DMS distribution, large regional differences were observed. The largest changes are observed in high concentration regions such as the polar oceans, although oceanic regions that were under-sampled in the past also show large differences between revisions of the climatology. Finally, DMS-Rev3 reduces the previously observed patchiness in high productivity regions.

中文翻译：

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全球地表海水二甲基硫气候学第三次修订 (DMS-Rev3)

摘要。本文提出了自下而上的全球地表海水二甲基硫醚 (DMS) 气候学的最新估计。此更新称为 DMS-Rev3，是同类更新中的第三次，其中包含与大约十年前发布的上一个气候学“L11”（Lana 等，2011）相比的五个重大变化。第一个变化是包含了过去十年中可用的新观察结果，创建了一个包含 872,427 个观察结果的数据库，与上次估计相比，原始数据增加了约 18 倍第二个是数据处理的显着改进，处理和过滤，以避免由于不同测量技术导致的不同观测频率而产生偏差。第三，我们纳入了在海洋生物地球化学省的地理边界中观察到的动态季节性变化。第四个变化涉及用于填充缺失数据的插值算法的改进。最后，基于观察到的 DMS 变异长度尺度 (VLS) 的升级平滑算法有助于重现更真实的 DMS 浓度数据分布。结果表明，DMS-Rev3 估计全球年平均 DMS 浓度约为 1.87 nM（无海冰面罩时为 2.35 nM），即比之前自下而上的“L11”气候学低约 4%。然而，与 L11 相比，观察到超过 100% 的显着区域差异。DMS 的全球海气通量估计约为 27 TgS yr 基于观察到的 DMS 变异长度尺度 (VLS) 的升级平滑算法有助于重现更真实的 DMS 浓度数据分布。结果表明，DMS-Rev3 估计全球年平均 DMS 浓度约为 1.87 nM（无海冰面罩时为 2.35 nM），即比之前自下而上的“L11”气候学低约 4%。然而，与 L11 相比，观察到超过 100% 的显着区域差异。DMS 的全球海气通量估计约为 27 TgS yr 基于观察到的 DMS 变异长度尺度 (VLS) 的升级平滑算法有助于重现更真实的 DMS 浓度数据分布。结果表明，DMS-Rev3 估计全球年平均 DMS 浓度约为 1.87 nM（无海冰面罩时为 2.35 nM），即比之前自下而上的“L11”气候学低约 4%。然而，与 L11 相比，观察到超过 100% 的显着区域差异。DMS 的全球海气通量估计约为 27 TgS yr 与 L11 相比，观察到超过 100% 的显着区域差异。DMS 的全球海气通量估计约为 27 TgS yr 与 L11 相比，观察到超过 100% 的显着区域差异。DMS 的全球海气通量估计约为 27 TgS yr^-1比 L11 低约 4%，尽管像 DMS 分布一样，观察到了很大的区域差异。在极地海洋等高浓度区域观察到的变化最大，尽管过去采样不足的海洋区域也显示出气候学修订之间的巨大差异。最后，DMS-Rev3 减少了先前在高生产力区域中观察到的斑块。