Final Report Summary - MIMOSA-5 (Monitoring and Modelling of Stratospheric Aerosols with a Focus on the Impact of Volcanic Eruptions)
After 2000, an increase of the stratospheric aerosol load was observed, and a debate arose on the respective role of natural (mainly volcanic) and anthropogenic aerosols in this evolution. It is now known that (mainly tropical) volcanoes injecting up to the high troposphere also contributed to the stratospheric aerosol burden, volcanic plumes finding a pathway toward the stratosphere. The Asian summer monsoon system is a notable contributor to this evolution. The aerosol forcing during this period has been estimated from observations (Solomon et al., Science, 2016), but doesn’t correspond to the expected impact from the aerosol budget taking into account all major eruptions since 2000 of which the volcanic cloud reached directly the stratosphere. Hence, a crucial aspect is to make an inventory of volcanic eruptions including small and medium tropospheric eruptions (injecting at least 15 kt of sulfur species above 14 km) and to simulate the evolution of their emissions to assess the real volcanic contribution to the stratospheric aerosol load.
MIMOSA-5 addresses all these issues and aims at the characterization of stratospheric aerosols and a better understanding of the role of volcanic eruptions in the evolution of the atmosphere. The project is organized following two main axes: the characterization and modeling activities, and the processing of stratospheric aerosol measurements focussing on GOMOS, a stellar occultation instrument that flown onboard the ENVISAT satellite from 2002 and 2012.
Using a new algorithm, AerGOM, which improves significantly the GOMOS aerosol retrieval with respect to the operational retrieval algorithm by providing the spectral dependence of the aerosol radiative properties, the priority was put on MIMOSA-5’s second axis, with as main objective the production of time series optimally tailored for the needs of the climate modelling community. Several aspects were considered, including the evaluation and thorough analysis of the dataset obtained for the radiative properties (extinction, optical depth etc.), the improvement of AerGOM’s performances, its extended validation and the retrieval of the particle size distribution from the extinction profiles.
An extensive preparatory work was also carried out in support to the Aerosol_CCI project, part of ESA’s Climate Change Initiative, which led to the derivation of climate data records for the extinction, optical depth and related Angström coefficients for the whole ENVISAT period.
Modelling mainly relied upon EMAC, a state-of-the art aerosol model, to simulate optimally the aerosol evolution during the post-2000 period. This collaboration with the Max-Planck Institute in Mainz, Germany, resulted in the elaboration of an inventory of the global aerosol load from small, medium and large volcanic eruptions to assess more precisely the volcanic aerosol load, and the corresponding radiative forcing. Latest results show that the new estimate of the aerosol load from this study, including GOMOS data from the climate data records produced in Aerosol_CCI with supporting activities from MIMOSA-5, is able to reproduce much better the observed evolution of the global radiative forcing as assessed by Solomon et al., 2016, than the previous estimates. The following figure illustrates this result.
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Caption:
The first panel shows a time series representing the stratospheric aerosol extinction at 550 nm and 17 km from the present work, the second panel shows a simulation using the EMAC model of the corresponding extinction evolution published by Brühl et al., 2015, and the lower panel presents the latest results of a similar simulation, including AerGOM data from Aerosol_CCI realized with the support of the present work. It is visible that the extinction level in the latest figure has increased. (Courtesy C. Brühl, MPI-Mainz, Germany)
Thanks to the activities described above, final results of MIMOSA-5 and the related Aerosol_CCI project could also improve the agreement of aerosol time series with IPCC requirements for this Essential Climate Variable and provide aerosol records as needed for the Climate Modelling Community. The achievement in terms of aerosol products and algorithm retrieval make them a reference dataset for validation purpose and for the derivation of stratospheric corrections for tropospheric measurements from space. Know-how acquired from the pioneering GOMOS experiment is also indispensable for the preparation of future missions based on the same experimental principle, such as the ALTIUS experiment, currently developed under the leadership van BIRA-IASB, the Host Institution.