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Description and implementation of a MiXed Layer model (MXL, v1.0) for the dynamics of the atmospheric boundary layer in the Modular Earth Submodel System (MESSy)

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Janssen,  R. H. H.
Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Pozzer,  A.
Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Citation

Janssen, R. H. H., & Pozzer, A. (2015). Description and implementation of a MiXed Layer model (MXL, v1.0) for the dynamics of the atmospheric boundary layer in the Modular Earth Submodel System (MESSy). Geoscientific Model Development, 8(3), 453-471. doi:10.5194/gmd-8-453-2015.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0029-21B6-C
Abstract
We present a new submodel for the Modular Earth Submodel System (MESSy): the MiXed Layer (MXL) model for the diurnal dynamics of the convective boundary layer, including explicit representations of entrainment and surface fluxes. This submodel is embedded in a new MESSy base model (VERTICO), which represents a single atmospheric column. With the implementation of MXL in MESSy, MXL can be used in combination with other MESSy submodels that represent processes related to atmospheric chemistry. For instance, the coupling of MXL with more advanced modules for gas-phase chemistry (such as the Mainz Isoprene Mechanism 2 (MIM2)), emissions, dry deposition and organic aerosol formation than in previous versions of the MXL code is possible. Since MXL is now integrated in the MESSy framework, it can take advantage of future developments of this framework, such as the inclusion of new process submodels. The coupling of MXL with submodels that represent other processes relevant to chemistry in the atmospheric boundary layer (ABL) yields a computationally inexpensive tool that is ideally suited for the analysis of field data, for evaluating new parametrizations for 3-D models, and for performing systematic sensitivity analyses. A case study for the DOMINO campaign in southern Spain is shown to demonstrate the use and performance of MXL/MESSy in reproducing and analysing field observations.