This paper provides a brief review of the interesting physics that arises from the use of detrending methods for time series analysis for the study of phenomena related to problems of adaptation to climate change. It presents illustrative examples of some of the newly developed or already existent methodological solutions that can be used to study climate phenomena, and of three sectors —public health, infrastructure and cultural heritage— where statistical physics tools can be utilized. In the context of adaptation to climate change statistical physics can offer data-led understandings that are of wider value to the scientific community and applicable local-scale insights.

本文简要介绍了使用去趋势方法进行时间序列分析来研究与适应气候变化有关的现象所引起的有趣的物理学。它提供了一些示例性示例，举例说明了一些可用于研究气候现象的新近开发或已经存在的方法学解决方案，以及可以利用统计物理工具的三个部门（公共卫生，基础设施和文化遗产）。在适应气候变化的背景下，统计物理学可以提供以数据为主导的理解，这对于科学界和适用的地方性见解具有更广泛的价值。