caa a22 4500 445800674 CHVBK 20180317145140.0 cr unu---uuuuu 170323e20111001xx s 000 0 eng 10.1007/s00704-011-0399-7 doi (NATIONALLICENCE)springer-10.1007/s00704-011-0399-7 Domonkos Peter University of Rovira i Virgili, Centre for Climate Change, Campus Terres de l'Ebre, CP: 43500 C\ Betánia 5, Tortosa, Spain aut Efficiency evaluation for detecting inhomogeneities by objective homogenisation methods [Elektronische Daten] [Peter Domonkos] Evaluation and comparison of efficiencies of widely used objective homogenisation methods (OHOMs) are presented relying on some test-datasets and efficiency measures. Problems related to the choice of efficiency measure, creation of appropriate test-datasets and use of OHOM parameterisation are discussed. The detection parts of the OHOMs are examined only. Power of detection, false alarm rate, detection skill and skill of linear trend estimation are calculated and compared for eight OHOMs and six test-datasets. Each test-dataset comprises 10,000 100 year-long artificially simulated time series. In the simplest test dataset, each time series contains one inhomogeneity (IH), while a structure of inhomogeneities that is similar to that of real central European temperature time series is included in the most complex simulated dataset. Distinct attention is given to OHOMs that contain (1) cutting algorithm, (2) semihierarchic algorithm, (3) direct detection of multiple IHs, (4) detection of change-point and trend-line shaped IHs. Results show that Caussinus-Mestre method and Multiple Analysis of Series for Homogenization are the most powerful tools in detecting and correcting IHs in climatic time series. Springer-Verlag, 2011 Theoretical and Applied Climatology Springer Vienna 105/3-4(2011-10-01), 455-467 0177-798X 105:3-4<455 2011 105 704 https://doi.org/10.1007/s00704-011-0399-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00704-011-0399-7 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Domonkos Peter University of Rovira i Virgili, Centre for Climate Change, Campus Terres de l'Ebre, CP: 43500 C\ Betánia 5, Tortosa, Spain aut NATIONALLICENCE 773 0- Theoretical and Applied Climatology Springer Vienna 105/3-4(2011-10-01), 455-467 0177-798X 105:3-4<455 2011 105 704 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer