COST ES1206 Sub-Working Group "Data Homogenisation": 1st Workshop - Brussels, Belgium

Statistical method for change-point detection in daily and monthly time-series

26 Apr 2016, 14:25

20m

Nadir Room (Royal Observatory of Belgium (ROB))

Oral Presentation Technical Session on Homogenization Algorithms Technical Session on Homogenization Algorithms

Speaker

Michal Elias (Geodetic Observatory Pecny, Czech Republic)

Description

Unexpected changes in the time-series are caused by several (usually non-climatic) factors. We applied statistical approach to analyze change-point detection. The method is based on a second correlated series that can be relied on to be correct. In the presented work we also describe the critical values calculation that was used. Beside the main presented method we also applied other technique based on a very similar principles, yet providing different statistical evaluation.