Articles | Volume 17, issue 4
https://doi.org/10.5194/gmd-17-1543-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-1543-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
22 Feb 2024
Development and technical paper |
| 22 Feb 2024
| 22 Feb 2024
Development of the tangent linear and adjoint models of the global online chemical transport model MPAS-CO2 v7.3
Department of Geography and Environmental Studies, Central Michigan University, Mount Pleasant, MI, USA
Institute for Great Lakes Research, Central Michigan University, Mount Pleasant, MI, USA
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
Jeffrey Steward
Data Assimilation Intelligence for Space Systems, LLC., Boulder, CO, USA
Xiaoxu Tian
Tomorrow.io, Boston, MA, USA
David Baker
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
Martin Baxter
Department of Earth and Atmospheric Science, Central Michigan University, Mount Pleasant, MI, USA
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Short summary
The tangent linear and adjoint models have been successfully implemented in the MPAS-CO2 system, which has undergone rigorous accuracy testing. This development lays the groundwork for a global carbon flux data assimilation system, which offers the flexibility of high-resolution focus on specific areas, while maintaining a coarser resolution elsewhere. This approach significantly reduces computational costs and is thus perfectly suited for future CO2 geostationery and imager satellites.
The tangent linear and adjoint models have been successfully implemented in the MPAS-CO2 system,...
