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Stratospheric circulation in the WACCM chemistry-climate model: mean age of air against observations and CTM
Minganti, Daniele
2017Numerical Modeling , Predictability and Data Assimilation in Weather, Ocean and Climate
 

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Abstract :
[en] The mean age of air is a classical diagnostic of the transit time from the troposphere to the various regions of the stratosphere, providing insights on the strength and structure of the Brewer-Dobson Circulation (BDC), the polar vortex and the irreversible mixing in the mid-latitudes. We apply this diagnostic to the WACCM chemistry-climate model for the 1985-2014 period. A comparison is presented between unconstrained simulations (FR-WACCM) with and without the representation of the QBO, simulations nudged to the MERRA-2 reanalysis (SD-WACCM), in-situ measurements and a chemistry-transport model (CTM). The results are different depending on the simulation, with SD-WACCM resulting closer to the observations w.r.t. FR-WACCM. In the FR-WACCM the QBO plays a role leading to older age of air. The time evolution over the considered period is slightly decreasing, while observations show a positive (not significant) trend. Given those results, further studies have to be carried out investigating the multi-decadal trends of mean age of air and involving actual tracers.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Minganti, Daniele ;  Université de Liège - ULiège > Form. doct. sc. (sc. spatiales - paysage)
Language :
English
Title :
Stratospheric circulation in the WACCM chemistry-climate model: mean age of air against observations and CTM
Publication date :
October 2017
Event name :
Numerical Modeling , Predictability and Data Assimilation in Weather, Ocean and Climate
Event place :
Bologna, Italy
Event date :
from 17-10-2017 to 20-10-2017
Audience :
International
Name of the research project :
ACCROSS
Available on ORBi :
since 23 October 2017

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