Bayesian Precipitation Regime Shift Detection In South-east Asia

Autor: Kokorev, Vasily, Ettema, J., Siegmund, Peter
Přispěvatelé: Department of Earth Systems Analysis, Department of Applied Earth Sciences, UT-I-ITC-4DEarth, Faculty of Geo-Information Science and Earth Observation
Jazyk: angličtina
Rok vydání: 2018
Zdroj: AOGS-EGU Joint Conference
Popis: The changing climate affects precipitation regimes worldwide, altering not only means but also extremes and variability. South-East Asia in recent years has suffered from an increased number of droughts caused by a delayed start of the wet season and longer dry spells. Accurately assessing recent changes in precipitation regimes is difficult due to high variability that can mask trends and large-scale regime shifts. Precipitation changes are often not gradual but abrupt, and detecting such rapid regime shifts is necessary for understanding current climate and predicting future changes. In this study, we use the Bayesian regime shift detection method to analyze historical precipitation changes in South-East Asia. The used method has an advantage of being able to detect shifts not only in mean values but in all of the distribution parameters. Use of Bayesian statistic provides probabilistic estimates of regime shift occurrence. Our results demonstrate that precipitation regime shift occurs in the Indochina region and the Philippines in the mid-seventies. The observed regime shift is in line with the shift of the Pacific Decadal Oscillation of 1975/76. We demonstrate that significant changes in probabilities of a dry day occurred after regime shift. We argue that recently observed droughts in the South-East Asia region is a result of a new regime and cannot be explained by natural variability alone.
Databáze: OpenAIRE