Stochastic physics schemes provide a more realistic representation of the unresolved scales in global circulation models by improving both mean climate and climate variability. We study the impact of including a stochastic physics scheme in the atmospheric component of EC-Earth on the simulated ocean state. The experiments consist of coupled climate simulations in which three ensemble members constitute the control runs and three ensemble members include stochastic physics. For the latter, the Stochastically Perturbed Parametrisation Tendencies (SPPT) scheme is incorporated in the atmospheric component of EC-Earth. The period of simulation spans from 1850 to 2100 and the future scenario corresponds to RCP8.5. The two ensembles present a different climate sensitivity. We compare both ocean states to investigate the ocean model response to a perturbed atmosphere. The surface net downward heat flux in the ocean results higher for the control runs. The difference is approximately 4 x 1023 J in the entire period of 250 years. The meridional heat transport (MHT) in the oceans results also higher in the case of the control runs. The Pacific and Atlantic oceans contribute roughly with 57% and 43% of the total difference, respectively. The larger amount of MHT in the Atlantic in the control runs respect to the stochastic runs, causes differences in the Atlantic Meridional Overturning Circulation as well. An abrupt loss of winter sea ice in the Arctic occurs at the end of the simulated period for the control runs only. In this case, the global annual surface air temperature reaches the threshold value for an abrupt collapse of winter sea ice in the Arctic. This feature is not observed when the stochastic physics is included, at least during the analyzed period. Including stochastic physics in EC-Earth might yield differences in the simulated climate comparable to differences between models.

Impact of stochastic physics on climate simulations with EC-Earth: looking at the ocean

Meccia Virna;Fabiano Federico;Corti Susanna
2019

Abstract

Stochastic physics schemes provide a more realistic representation of the unresolved scales in global circulation models by improving both mean climate and climate variability. We study the impact of including a stochastic physics scheme in the atmospheric component of EC-Earth on the simulated ocean state. The experiments consist of coupled climate simulations in which three ensemble members constitute the control runs and three ensemble members include stochastic physics. For the latter, the Stochastically Perturbed Parametrisation Tendencies (SPPT) scheme is incorporated in the atmospheric component of EC-Earth. The period of simulation spans from 1850 to 2100 and the future scenario corresponds to RCP8.5. The two ensembles present a different climate sensitivity. We compare both ocean states to investigate the ocean model response to a perturbed atmosphere. The surface net downward heat flux in the ocean results higher for the control runs. The difference is approximately 4 x 1023 J in the entire period of 250 years. The meridional heat transport (MHT) in the oceans results also higher in the case of the control runs. The Pacific and Atlantic oceans contribute roughly with 57% and 43% of the total difference, respectively. The larger amount of MHT in the Atlantic in the control runs respect to the stochastic runs, causes differences in the Atlantic Meridional Overturning Circulation as well. An abrupt loss of winter sea ice in the Arctic occurs at the end of the simulated period for the control runs only. In this case, the global annual surface air temperature reaches the threshold value for an abrupt collapse of winter sea ice in the Arctic. This feature is not observed when the stochastic physics is included, at least during the analyzed period. Including stochastic physics in EC-Earth might yield differences in the simulated climate comparable to differences between models.
2019
Istituto di Scienze dell'Atmosfera e del Clima - ISAC
stochastic physics
climate sensitivity
arctic sea ice
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/365982
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact