000196299 001__ 196299
000196299 003__ CZ-ZdVUG
000196299 005__ 20210818121332.0
000196299 041__ $$aeng
000196299 040__ $$aABC039$$bcze
000196299 1001_ $$aDouša, Jan
000196299 24510 $$aAn Assessment of the Method for Changepoint Detection Applied in Tropospheric Parameter Time Series given from Numerical Weather Model
000196299 300__ $$a12 stran
000196299 5203_ $$aWe are discussing changepoint detection in tropospheric parameter time series that occurs in a numerical weather reanalysis model. Our approach applies a statistical method that is based on the maximum value of two sample t-statistics. We use critical values calculated by applying an asymptotic distribution. We also apply an asymptotic distribution to finding approximate critical values for the changepoint position. Experiments on “test” and “real” data illustrate the assumed accuracy and efficiency of our method. The method is assessed by its application to our series after adding synthetic shifts. A total of more than 3,000 original profiles are then analysed within the time-span of the years 1990-2015. The analysis shows that at least one changepoint is present in more than 9% of the studied original time series. The uncertainty of estimated times achieved tens of days for shifts larger than 9 mm, but it was increased up to hundreds of days in the case of smaller synthetic shifts. Discussed statistical method has potential for suspected change point detection in time series with higher time resolution.
000196299 655_4 $$ačlánek v časopise
000196299 7001_ $$aEliaš, Michal
000196299 7001_ $$aJarušková, Daniela
000196299 7730_ $$92020$$dČeská republika,2020.$$g17. (1), s. 101-112$$tActa Geodynamica et Geomaterialia$$x1214-9705
000196299 8564_ $$uhttps://www.irsm.cas.cz/index_en.php?page=acta_detail_doi&id=338
000196299 85642 $$ahttps://www.isvavai.cz/riv?s=rozsirene-vyhledavani&ss=detail&n=0&h=RIV%2F00025615%3A_____%2F20%3AN0000040%21RIV21-MSM-00025615
000196299 910__ $$aABC039
000196299 980__ $$aclanky_vugtk
000196299 985__ $$adousa
000196299 985__ $$ariv
000196299 985__ $$autvar24
000196299 985__ $$aelias