Abstract
Abstract. Here we describe the second version of Minnesota Earth System Model for Ocean biogeochemistry (MESMO 2), an earth system model of intermediate complexity, which consists of a dynamical ocean, dynamic-thermodynamic sea ice, and energy moisture balanced atmosphere. The new version has more realistic land ice masks and is driven by seasonal winds. A major aim in version 2 is representing the marine silica cycle mechanistically in order to investigate climate-carbon feedbacks involving diatoms, a critically important class of phytoplankton in terms of carbon export production. This is achieved in part by including iron, on which phytoplankton uptake of silicic acid depends. Also, MESMO 2 is coupled to an existing terrestrial model, which allows for the exchange of carbon, water and energy between land and the atmosphere. The coupled model, called MESMO 2E, is appropriate for more complete earth system simulations. The new version was calibrated, with the goal of preserving reasonable interior ocean ventilation and various biological production rates in the ocean and land, while simulating key features of the marine silica cycle.
Highlights
We document development of the second version of the Minnesota Earth System Model for Ocean biogeochemistry (MESMO 2)
In the following two sections, we describe in steps the main new physical and biogeochemical modifications and additions which were adopted in MESMO 2 (Table 2)
Since MESMO is a tool developed primarily to investigate ocean biogeochemistry, the new model versions were calibrated with the goal of having reasonable ocean physics with greater attention paid to reproducing key aspects of the marine silica cycle and ocean biogeochemistry in general
Summary
We document development of the second version of the Minnesota Earth System Model for Ocean biogeochemistry (MESMO 2). Matsumoto et al.: MESMO 2 are key features of the observed silica cycle that we chose to simulate with MESMO 2, made possible in part by including Fe as a new tracer in the model Another motivation for this work is to have a model that includes a terrestrial scheme, so that the global carbon cycle encompassing the atmosphere, ocean, and land can be simulated. A terrestrial scheme with prognostic land surface albedo would allow a land albedo feedback in global climate change simulations In this regard, we make use of the existing model ENTS (efficient numerical terrestrial scheme), coupled previously to GENIE (Williamson et al, 2006).
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