A bit about CCMI

What do we do?

Our mission statement:

The Chemistry Climate Model Initiative (CCMI) seeks to improve our understanding of the role of chemistry-climate interactions within the Earth system in the past, the present, and in future projections. CCMI, supported by Future Earth’s IGAC and the WCRP’s SPARC projects, advances these goals by providing a forum for coordinated inter-model comparisons and analysis with observations, encouraging the dissemination of innovative ideas for chemistry-climate research and building a strong and inclusive global science community.

And why?

Increasingly, the chemistry and dynamics of the stratosphere and troposphere are being studied and modeled as a single entity in global models. As evidence, in support of the Intergovernmental Panel on Climate Change Sixth Assessment Report (IPCC AR6), a number of models contributed simulations to AerChemMIP, a CMIP6 component MIP that focused on aerosols and chemistry, using global models with interactive chemistry spanning the surface through the stratosphere and above. In addition, tropospheric and stratospheric global chemistry-climate models are continuously being challenged by new observations and process analyses. Some recent intercomparison exercises have for example highlighted shortcomings in our understanding and/or modeling of long-term ozone trends and methane lifetime. Furthermore, there is growing interest in the impact of stratospheric ozone changes on tropospheric chemistry via both ozone fluxes (e.g. from the projected strengthening of the Brewer-Dobson circulation) and actinic fluxes. This highlights that there is a need to better coordinate activities focusing on the two domains and to assess scientific questions in the context of the more comprehensive stratosphere-troposphere resolving models with chemistry. To address the issues, the joint IGAC/SPARC Chemistry-Climate Model Initiative (CCMI) was established to coordinate future (and to some extent existing) IGAC and SPARC chemistry-climate model evaluation and associated modeling activities.