Purpose of Review

We review how phytoplankton abundance may be responding to the increase in stratification associated with anthropogenic climate change, providing context on the utility of remote sensing datasets and Earth system model output to understand these perturbations.

Recent Findings

Assessing disruption in the ocean biosphere using remote sensing datasets is challenged by the relatively short length of the observational record, restricting our ability to disentangle fluctuations due to internal climate variability from those imposed by externally forced anthropogenic trends. Ensembles of Earth system models can be used to quantify past and future drivers, but may not skillfully predict observed spatial patterns and temporal dynamics in marine phytoplankton.

Summary

To better understand the role of internal climate variability in the observational record, we construct a synthetic ensemble of global chlorophyll concentration over the MODIS satellite mission using statistical emulation techniques. We emphasize the use of a synthetic ensemble to illuminate the role of internal climate variability in the evolution of the ocean biosphere over time.

中文翻译：

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寻找海洋浮游植物丰度中人为气候变化的指纹

审查目的

我们回顾了浮游植物丰度如何响应与人为气候变化相关的分层增加，提供了利用遥感数据集和地球系统模型输出来理解这些扰动的背景。

最近的发现

使用遥感数据集评估海洋生物圈的破坏受到观测记录长度相对较短的挑战，这限制了我们将内部气候变化引起的波动与外部强制人为趋势造成的波动分开的能力。地球系统模型集合可用于量化过去和未来的驱动因素，但可能无法巧妙地预测观察到的海洋浮游植物的空间模式和时间动态。

概括

为了更好地了解内部气候变化在观测记录中的作用，我们使用统计模拟技术在 MODIS 卫星任务上构建了全球叶绿素浓度的综合集合。我们强调使用合成集合来阐明内部气候变化在海洋生物圈随时间演变中的作用。