Changepoint Methods in Climatology
Robert B. Lund, Xueheng Shi
TL;DR
This paper discusses the application of changepoint detection methods in climatology, highlighting their roles in stationarity testing and data homogenization, while emphasizing unresolved challenges in multiple changepoint analysis.
Contribution
It reviews current challenges and open problems in multiple changepoint detection in climatology, calling for statisticians to develop new methods and analyze complex data.
Findings
Changepoint methods are vital for climatology data analysis.
Multiple changepoint detection remains an open research area.
Statisticians play a key role in advancing these methods.
Abstract
Changepoint methods have multiple uses in climatology, including stationary checks and record homogenization. There are still many open problems in the area, especially in the multiple changepoint setting, and statisticians are needed to help develop the methods and analyze the data.
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Taxonomy
TopicsHydrology and Drought Analysis · Climate variability and models