Homogenization of Monthly Precipitation Series: A Case Study from Romania
Abstract
The aim of this study is twofold. First, it introduces a method that combines regression modeling with periodic autoregressive errors to identify change points (CPs) in the data series and model parameters estimated via a multi-island genetic algorithm guided by the Minimum Description Length (MDL) principle. Second, building on this framework, we propose a homogenization procedure for monthly precipitation series from Dobogea region, optimizing the MDL objective to correct inhomogeneities across the regional dataset.
Fields of Study & Subjects
Hydrology and Drought Analysis
Climate variability and models
Precipitation Measurement and Analysis
Publication details
- Journal / source
- Romanian Journal of Physics
- Publisher
- Editura Academiei Române
- Volume
- 71
- Issue
- 1-2
- Pages
- 801–801
- Publication date
- 15 March 2026