Articles | Volume 5, issue 1
https://doi.org/10.5194/wcd-5-293-2024
https://doi.org/10.5194/wcd-5-293-2024
Research article
 | 
27 Feb 2024
Research article |  | 27 Feb 2024

Multi-decadal pacemaker simulations with an intermediate-complexity climate model

Franco Molteni, Fred Kucharski, and Riccardo Farneti

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Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), J. Hydrometeorol., 4, 1147–1167, https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2, 2003. 
Ayarzagüena, B., Ineson, S., Dunstone, N. J., Baldwin, M. P., and Scaife, A. A.: Intraseasonal effects of El Niño-Southern Oscillation on North Atlantic climate, J. Climate, 31, 8861–8873, https://doi.org/10.1175/JCLI-D-18-0097.1, 2018. 
Bracco, A., Kucharski, F., Kallummal, R., and Molteni, F.: Internal variability, external forcing and climate trends in multi-decadal AGCM ensembles, Clim. Dynam., 23, 659–678, 2004. 
Bracco, A., Kucharski, F., Molteni, F., Hazeleger, W., and Severijns, C.: Internal and forced modes of variability in the Indian Ocean, Geophys. Res. Lett., 32, L12707, https://doi.org/10.1029/2005GL023154, 2005. 
Charlton-Perez, A. J., Ferranti, L., and Lee, R. W.: The influence of the stratospheric state on North Atlantic weather regimes, Q. J. Roy. Meteorol. Soc., 144, 1140–1151, https://doi.org/10.1002/qj.3280, 2018 
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Short summary
We describe some new features of an intermediate-complexity coupled model, including a three-layer thermodynamic ocean model suitable to explore the extratropical response to tropical ocean variability. We present results on the model climatology and show that important features of interdecadal and interannual variability are realistically simulated in a pacemaker coupled ensemble of 70-year runs, where portions of the tropical Indo-Pacific are constrained to follow the observed variability.
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