Angeloni, Michela
(2022)
Climate variability in an Earth system Model of Intermediate Complexity: from interannual to centennial timescales, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Geofisica, 34 Ciclo. DOI 10.48676/unibo/amsdottorato/10152.
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Abstract
This thesis explores the climate mean state and climate variability repro- duced by atmosphere-ocean coupled configurations of the Planet Simulator (PlaSim), an Earth-system Model of Intermediate Complexity (EMIC). In particular, the sensitivity to variations in oceanic parameters is explored in three atmosphere-ocean coupled configurations: using a simple mixed-layer (ML) ocean at two horizontal resolutions (T21 - 600 km and T42 - 300 km) or a more complex dynamical ocean, the Large Scale Geostrophic (LSG) ocean, at T21 atmospheric horizontal resolution. Sensitivity experiments allow to identify a reference oceanic diffusion coefficient in the ML ocean and a vertical oceanic diffusion profile in LSG, which ensure a simulated climate in good agreement with the present climate. For each model configuration, the Equilibrium Climate Sensitivity (ECS) is estimated from simulations with an increased CO2 concentration compared to pre-industrial simulations. The resulting ECS values are higher than values estimated in other EMICs or models of the Coupled Intercomparison Project Phase 5 (CMIP5) and Phase 6 (CMIP6), especially in the PlaSim-ML configurations. The climate variability of the model is then explored on different timescales, from the centennial to the interannual one.
Abstract
This thesis explores the climate mean state and climate variability repro- duced by atmosphere-ocean coupled configurations of the Planet Simulator (PlaSim), an Earth-system Model of Intermediate Complexity (EMIC). In particular, the sensitivity to variations in oceanic parameters is explored in three atmosphere-ocean coupled configurations: using a simple mixed-layer (ML) ocean at two horizontal resolutions (T21 - 600 km and T42 - 300 km) or a more complex dynamical ocean, the Large Scale Geostrophic (LSG) ocean, at T21 atmospheric horizontal resolution. Sensitivity experiments allow to identify a reference oceanic diffusion coefficient in the ML ocean and a vertical oceanic diffusion profile in LSG, which ensure a simulated climate in good agreement with the present climate. For each model configuration, the Equilibrium Climate Sensitivity (ECS) is estimated from simulations with an increased CO2 concentration compared to pre-industrial simulations. The resulting ECS values are higher than values estimated in other EMICs or models of the Coupled Intercomparison Project Phase 5 (CMIP5) and Phase 6 (CMIP6), especially in the PlaSim-ML configurations. The climate variability of the model is then explored on different timescales, from the centennial to the interannual one.
Tipologia del documento
Tesi di dottorato
Autore
Angeloni, Michela
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
34
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
emics, tuning, climate sensitivity
URN:NBN
DOI
10.48676/unibo/amsdottorato/10152
Data di discussione
31 Marzo 2022
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Angeloni, Michela
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
34
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
emics, tuning, climate sensitivity
URN:NBN
DOI
10.48676/unibo/amsdottorato/10152
Data di discussione
31 Marzo 2022
URI
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