Which significance test performs the best in climate simulations?
References
. A new look at the statistical model identification. IEEE Trans. Automat. Contr. 1974; 19: 716– 723. , . Time Series Analysis: Forecasting and Control. 1976; Ann Arbor, MI, USA: Holden-Day, the University of Michigan. 575. , , . Effects of the South Asian absorbing haze on the northeast monsoon and surface – air heat exchange. J. Clim. 2002; 15: 2462– 2476. , , , , , . The formulation and atmospheric simulation of the Community Atmosphere Model Version 3 (CAM3). J. Clim. 2006; 19: 2144– 2161. . The Jackknife, the Bootstrap, and Other Resampling Plans. 1982; Philadelphia, PA, USA: Society for Industrial Mathematics. 92. , . An Introduction to the Bootstrap. 1993; New York, NY, USA: Chapman and Hall. 436. , , . Field significance revisited: spatial bias errors in forecasts as applied to the Eta Model. Mon. Weather Rev. 2006; 134: 519– 531. , . Scaling of atmosphere and ocean temperature correlations in observations and climate models. Phys. Rev. Lett. 2003; 90: 108501. , , , , , . The Community Climate System Model Version 4. J. Clim. 2011; 24: 4973– 4991. , , , , , . Critical role of northern off-equatorial sea surface temperature forcing associated with central pacific el Niño in more frequent tropical cyclone movements toward East Asia. J. Clim. 2013; 26: 2534– 2545. , , , , , . Indication of a universal persistence law governing atmospheric variability. Phys. Rev. Lett. 1998; 81: 729– 732. , , . Regional climate model projections and uncertainties of U.S. summer heat waves. J. Clim. 2010; 23: 4447– 4458. . The Jackknife and the Bootstrap for general stationary observations. Ann. Stat. 1989; 17: 25. , , , . Predictability of climate indices with time series models. Stochastic Hydrology of the Great Lakes – A Systemic Analysis. , , , . Predictability of climate indices with time series models. Stochastic Hydrology of the Great Lakes – A Systemic Analysis. , , , , . The atmospheric general circulation model ECHAM 5. PART I: model description. 2003; Hamburg, Germany: Max-Planck-Institut für Meteorologie. . Estimating the dimension of a model. Ann. Stat. 1978; 6: 4. . Bootstrapping correlated data. J. Int. Assoc. Math. Geol. 1985; 17: 769– 775. , , . The use of time series modeling for the determination of rainfall climates of Iran. Int. J. Clim. 2007; 27: 819– 829. , . Statistical Analysis in Climate Research. 1999; Cambridge, UK: Cambridge University Press. 484. , , , , . Volcanic forcing improves atmosphere-ocean coupled general circulation model scaling performance. Geophys. Res. Lett. 2004; 31: L10206. , , , , . How much do different land models matter for climate simulation? Part I: climatology and variability. J. Clim. 2010; 23: 3120– 3134. . Resampling hypothesis tests for autocorrelated fields. J. Clim. 1997; 10: 65– 82. . Statistical Methods in the Atmospheric Sciences. 2011; Elsevier, Waltham, MA, USA: Academic Press. 676. , , . Testing the Mannetal. (1998) Approach to paleoclimate reconstructions in the context of a 1000-Yr control simulation with the ECHO-G coupled climate model. J. Clim. 2003; 16: 1378– 1390. . Statistical considerations for climate experiments. Part II: multivariate tests. J. Clim. Appl. Meteorol. 1987; 26: 477– 487. , . Statistical considerations for climate experiments. Part I: scalar tests. J. Clim. Appl. Meteorol. 1987; 26: 464– 476. , . Regime-dependent autoregressive time series modeling of the Southern Oscillation. J. Clim. 1990; 3: 1347– 1363. , . Taking serial correlation into account in tests of the mean. J. Clim. 1995; 8: 336– 351.
DOI: https://doi.org/10.3402/tellusa.v66.23139 | Journal eISSN: 3035-9554
Language: English
Page range: 23139 - 23139
Submitted on: Oct 22, 2013
Accepted on: Dec 16, 2013
Published on: Dec 1, 2014
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2014 Damien Decremer, Chul E. Chung, Annica M. L. Ekman, Jenny Brandefelt, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.