Causal relationship between sea surface temperature and precipitation revealed by information flow
Causal relationship between sea surface temperature and precipitation revealed by information flow
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DOI：
10.3389/fclim.2022.1024384
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Ziyu Ye;T. Tozuka
中科院分区：
文献类型：
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作者：
Ziyu Ye;T. Tozuka
大气和海洋通过各种过程相互耦合。因此，了解大气与海洋之间的因果关系对于预测大气与海洋的状态具有重要意义。本文将归一化信息流（NIF）应用于海表温度（SST）和降水数据，探讨从大气到海洋和从海洋到大气的因果关系。在两个方向上计算局地NIFs的全球空间结构时，发现热带地区海洋对大气的影响更大，而温带地区大气对海洋的影响更大。海洋和大气之间的这种因果关系与以前的研究一致。为了检查远程连接，然后计算远程nif并将其与本地nif进行比较。海温对降水的局地影响在几乎所有热带地区都占主导地位，而降水-海温nif的远程影响相对重要性更高，除了赤道太平洋中东部和热带印度洋东南部的一小部分地区。还介绍了热带地区六个选定地区的区域分析。这项研究表明，nif可能是研究海洋-大气相互作用的有力工具。
The atmosphere and the ocean are coupled with each other through various processes. Therefore, it is of great importance to understand the causality relationship between the atmosphere and the ocean for predicting their states. Here we apply the normalized information flow (NIF) to sea surface temperature (SST) and precipitation data to investigate the causality from the atmosphere to the ocean and from the ocean to the atmosphere. When the global spatial structure of the local NIFs is calculated for both directions, it is found that the ocean affects the atmosphere more in the tropics, while the atmosphere affects the ocean more in the extratropics. This causality relationship between the ocean and the atmosphere agrees with previous studies. To examine the teleconnections, the remote NIFs are then calculated and compared with the local NIFs. The local impact from SST to precipitation is dominant in almost all tropical regions, while the relative importance of remote impacts is higher for the precipitation-to-SST NIFs, except for a small area in the central-eastern equatorial Pacific and southeastern tropical Indian Ocean. Regional analyses for six selected areas within the tropics are also presented. This study suggests that NIFs may be a powerful tool to study ocean-atmosphere interactions.