000196315 001__ 196315
000196315 003__ CZ-ZdVUG
000196315 005__ 20210823111846.0
000196315 041__ $$aeng
000196315 040__ $$aABC039$$bcze
000196315 1001_ $$aEliaš, Michal
000196315 24510 $$aHomogenizing GPS Integrated Water Vapor Time Series: Benchmarking Break Detection Methods on Synthetic Data Sets
000196315 300__ $$a20 stran
000196315 5203_ $$aWe assess the performance of different break detection methods on three sets of benchmarkdata sets, each consisting of 120 daily time series of integrated water vapor differences. These differencesare generated from the Global Positioning System (GPS) measurements at 120 sites worldwide, and thenumerical weather prediction reanalysis (ERAInterim) integrated water vapor output, which serves as thereference series here. The benchmark includes homogeneous and inhomogeneous sections with addednonclimatic shifts (breaks) in the latter. Three different variants of the benchmark time series are produced,with increasing complexity, by adding autoregressive noise of the rst order to the white noise model and theperiodic behavior and consecutively by adding gaps and allowing nonclimatic trends. The purpose of this“complex experiment” is to examine the performance of break detection methods in a more realistic casewhen the reference series are not homogeneous. We evaluate the performance of break detection methodswith skill scores, centered root mean square errors (CRMSE), and trend differences relative to the trends ofthe homogeneous series. We found that most methods underestimate the number of breaks and have asignicant number of false detections. Despite this, the degree of CRMSE reduction is signicant (roughlybetween 40% and 80%) in the easy to moderate experiments, with the ratio of trend bias reduction is evenexceeding the 90% of the raw data error. For the complex experiment, the improvement ranges between 15%and 35% with respect to the raw data, both in terms of RMSE and trend estimations.
000196315 655_4 $$ačlánek v časopise
000196315 7730_ $$92020$$dSpojené státy americké,2020.$$g7. (5), 20 s.$$tEarth and Space Science$$x2333-5084
000196315 8564_ $$uhttps://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2020EA001121
000196315 85642 $$ahttps://www.isvavai.cz/riv?s=rozsirene-vyhledavani&ss=detail&n=0&h=RIV%2F00025615%3A_____%2F20%3AN0000038%21RIV21-MSM-00025615
000196315 910__ $$aABC039
000196315 980__ $$aclanky_vugtk
000196315 985__ $$aelias
000196315 985__ $$ariv
000196315 985__ $$autvar24