Articles | Volume 12, issue 2
https://doi.org/10.5194/gmd-12-735-2019
https://doi.org/10.5194/gmd-12-735-2019
Methods for assessment of models
 | 
19 Feb 2019
Methods for assessment of models |  | 19 Feb 2019

Similarities within a multi-model ensemble: functional data analysis framework

Eva Holtanová, Thomas Mendlik, Jan Koláček, Ivanka Horová, and Jiří Mikšovský

Related authors

Imprints of climate forcings in global gridded temperature data
Jiří Mikšovský, Eva Holtanová, and Petr Pišoft
Earth Syst. Dynam., 7, 231–249, https://doi.org/10.5194/esd-7-231-2016,https://doi.org/10.5194/esd-7-231-2016, 2016
Short summary
Novel indices for the comparison of precipitation extremes and floods: an example from the Czech territory
M. Müller, M. Kašpar, A. Valeriánová, L. Crhová, E. Holtanová, and B. Gvoždíková
Hydrol. Earth Syst. Sci., 19, 4641–4652, https://doi.org/10.5194/hess-19-4641-2015,https://doi.org/10.5194/hess-19-4641-2015, 2015
Short summary

Related subject area

Atmospheric sciences
On the use of Infrared Atmospheric Sounding Interferometer (IASI) spectrally resolved radiances to test the EC-Earth climate model (v3.3.3) in clear-sky conditions
Stefano Della Fera, Federico Fabiano, Piera Raspollini, Marco Ridolfi, Ugo Cortesi, Flavio Barbara, and Jost von Hardenberg
Geosci. Model Dev., 16, 1379–1394, https://doi.org/10.5194/gmd-16-1379-2023,https://doi.org/10.5194/gmd-16-1379-2023, 2023
Short summary
Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation
Marine Bonazzola, Hélène Chepfer, Po-Lun Ma, Johannes Quaas, David M. Winker, Artem Feofilov, and Nick Schutgens
Geosci. Model Dev., 16, 1359–1377, https://doi.org/10.5194/gmd-16-1359-2023,https://doi.org/10.5194/gmd-16-1359-2023, 2023
Short summary
The impact of altering emission data precision on compression efficiency and accuracy of simulations of the community multiscale air quality model
Michael S. Walters and David C. Wong
Geosci. Model Dev., 16, 1179–1190, https://doi.org/10.5194/gmd-16-1179-2023,https://doi.org/10.5194/gmd-16-1179-2023, 2023
Short summary
AerSett v1.0: a simple and straightforward model for the settling speed of big spherical atmospheric aerosols
Sylvain Mailler, Laurent Menut, Arineh Cholakian, and Romain Pennel
Geosci. Model Dev., 16, 1119–1127, https://doi.org/10.5194/gmd-16-1119-2023,https://doi.org/10.5194/gmd-16-1119-2023, 2023
Short summary
Optimization of weather forecasting for cloud cover over the European domain using the meteorological component of the Ensemble for Stochastic Integration of Atmospheric Simulations version 1.0
Yen-Sen Lu, Garrett H. Good, and Hendrik Elbern
Geosci. Model Dev., 16, 1083–1104, https://doi.org/10.5194/gmd-16-1083-2023,https://doi.org/10.5194/gmd-16-1083-2023, 2023
Short summary

Cited articles

Annan, J. D. and Hargreaves, J. C.: On the meaning of independence in climate science, Earth Syst. Dynam., 8, 211–224, https://doi.org/10.5194/esd-8-211-2017, 2017. 
Belda, M., Holtanová, E., Kalvová, J., and Halenka, T.: Global warming-induced changes in climate zones based on CMIP5 projections, Clim. Res., 71, 17–31, https://doi.org/10.3354/cr01418, 2017. 
Christensen, J. H. and Christensen, O. B.: A summary of the PRUDENCE model projections of changes in European climate during this century, Clim. Change, 81(Supp. 1), 7–30, https://doi.org/10.1007/s10584-006-9210-7, 2007. 
Craven, P. and Wahba, G.: Smoothing noisy data with spline functions, Numerische Mathematik, 31, 377–403, 1978. 
Crhová, L. and Holtanová, E.: Simulated relationship between air temperature and precipitation over Europe: sensitivity to the choice of RCM and GCM, Int. J. Clim., 38, 1595–1604, https://doi.org/10.1002/joc.5256, 2018. 
Download
Short summary
We present a methodological framework for the analysis of climate model uncertainty based on the functional data analysis approach, an emerging statistical field. The novel method investigates the multi-model spread, taking into account the behavior of entire simulated climatic time series, encompassing both past and future periods. We also introduce an innovative way of visualizing climate model similarities based on a network spatialization algorithm that enables an unambiguous interpretation.