Chan, D., Kent, E. C., Berry, D. I., and Huybers, P.: Correcting datasets leads to more homogeneous early-twentieth-century sea surface warming, Nature, 571, 393–397,
https://doi.org/10.1038/s41586-019-1349-2, 2019.
a
DelSole, T.: Software and Data for “Testing Equality of Autoregressive Parameters Without Assuming Equality of Noise Variances”, Zenodo [code and data set],
https://doi.org/10.5281/zenodo.17177074, 2025.
a
DelSole, T. and Tippett, M. K.: A mutual information criterion with applications to canonical correlation analysis and graphical models, Stat, 10, e385,
https://doi.org/10.1002/sta4.385, 2021b.
a
Delworth, T. L., Cooke, W. F., Adcroft, A., Bushuk, M., Chen, J.-H., Dunne, K. A., Ginoux, P., Gudgel, R., Hallberg, R. W., Harris, L., Harrison, M. J., Johnson, N., Kapnick, S. B., Lin, S.-J., Lu, F., Malyshev, S., Milly, P. C., Murakami, H., Naik, V., Pascale, S., Paynter, D., Rosati, A., Schwarzkopf, M. D., Shevliakova, E., Underwood, S., Wittenberg, A. T., Xiang, B., Yang, X., Zeng, F., Zhang, H., Zhang, L., and Zhao, M.: SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection, J. Adv. Model. Earth Sy., 12, e2019MS001895,
https://doi.org/10.1029/2019MS001895, 2020.
a
Dentener, F. J., Hall, B., and Smith, C.: Annex III: Tables of Historical and Projected Well-mixed Greenhouse Gas Mixing Ratios and Effective Radiative Forcing of All Climate Forcers, in: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekci, O., Yu, R., and Zhou, B., chap. Annex III, Cambridge University Press, 2139–2151, 2021. a
Eyring, V., Gleckler, P. J., Heinze, C., Stouffer, R. J., Taylor, K. E., Balaji, V., Guilyardi, E., Joussaume, S., Kindermann, S., Lawrence, B. N., Meehl, G. A., Righi, M., and Williams, D. N.: Towards improved and more routine Earth system model evaluation in CMIP, Earth Syst. Dynam., 7, 813–830,
https://doi.org/10.5194/esd-7-813-2016, 2016.
a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2020.
a
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 monthly averaged data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set],
https://doi.org/10.24381/cds.f17050d7, 2023.
a
Iturbide, M., Gutiérrez, J. M., Alves, L. M., Bedia, J., Cerezo-Mota, R., Cimadevilla, E., Cofiño, A. S., Di Luca, A., Faria, S. H., Gorodetskaya, I. V., Hauser, M., Herrera, S., Hennessy, K., Hewitt, H. T., Jones, R. G., Krakovska, S., Manzanas, R., Martínez-Castro, D., Narisma, G. T., Nurhati, I. S., Pinto, I., Seneviratne, S. I., van den Hurk, B., and Vera, C. S.: An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets, Earth Syst. Sci. Data, 12, 2959–2970,
https://doi.org/10.5194/essd-12-2959-2020, 2020a.
a,
b
Iturbide, M., Gutierrez, J. M., Cimadevilla Alvarez, E., Bedia, J., Hauser, M., and Manzanas, R.: SantanderMetGroup/ATLAS: Final version of “IPCC WGI reference regions v4” (v1.6), Zenodo [code],
https://doi.org/10.5281/zenodo.3998463, 2020.
a
Lancaster, P.: Explicit Solutions of Linear Matrix Equations, SIAM Rev., 12, 544–566,
http://www.jstor.org/stable/2028490 (last access: 19 March 2026), 1970. a
Leith, C. E.: The standard error of time-average estimates of climate means, J. Appl. Meteor., 12, 1066–1069, 1973. a
Newman, M.: An Empirical benchmark for decadal forecasts of global surface temperature anomalies, J. Climate, 26, 5260–5269, 2013. a
Sardeshmukh, P. D. and Penland, C.: Understanding the distinctively skewed and heavy tailed character of atmospheric and oceanic probability distributions, Chaos, 25, 036410,
https://doi.org/10.1063/1.4914169, 2015.
a
Seber, G. A. F.: A Matrix Handbook for Statisticians, Wiley, ISBN 978-0-471-74869-4, 2008. a
Smith, C., Hall, B., Dentener, F., Ahn, J., Collins, W., Jones, C., Meinshausen, M., Dlugokencky, E., Keeling, R., Krummel, P., Mühle, J., Nicholls, Z., and Simpson, I.: IPCC Working Group 1 (WG1) Sixth Assessment Report (AR6) Annex III Extended Data (v1.0), Zenodo [data set],
https://doi.org/10.5281/zenodo.5705391, 2021.
a
