Land surface scheme TerM: the model formulation, code architecture and applications
-
Victor M. Stepanenko
, Alexander I. Medvedev
, Vasiliy Yu. Bogomolov , Sumbel K. Shangareeva , Anna A. Ryazanova , Georgiy M. Faykin , Irina M. Ryzhova , Victoria I. Suiazova , Andrey V. Debolskiy and Alexey Yu. Chernenkov
Abstract
This paper presents the INM RAS–MSU land surface scheme, extracted from the INM RAS Earth system model into an independent software complex and supplemented with several modules to reproduce new components and processes of the Earth system. The resulting software product is referred to as TerM (Terrestrial Model). The physical and mathematical foundations of the model, the main features of the software implementation, and examples of applications in reproducing components of the terrestrial hydrological and carbon cycles are briefly outlined. Separating the land surface block into a standalone software complex significantly saves computational resources when assessing the impact of global and regional climate changes on natural resources (including hydrological ones), ecosystem dynamics, and emissions of climate-relevant substances with high spatial detalization. Within the TerM modelling complex, the development, validation, and calibration of new parameterizations of physical and biogeochemical processes are being conducted in an autonomous mode for subsequent implementation into the full INM RAS Earth system model.
Funding statement: The development and discussion of perspective carbon cycle models was supported by the MSU Scientific and Educational School ‘The Future of the Planet and Global Environmental Change’ (Project 23-Sh07-55). Implementation of the TerM program code for hybrid computing systems was supported by the Russian Science Foundation (Agreement No. 21-71-30003). Improvement of parameterizations of the hydrological cycle processes is made at the expense of the grant of the Russian Science Foundation (Agreement No. 24-17-00512). The multicore simulations were performed at the resources of MSU supercomputer ‘Lomonosov-2’ [57] and the computational cluster [67] of the INM RAS.
Acknowledgment:
The authors are grateful to S. A. Bartalev (SRI RAS) for providing satellite-derived maps of vegetation biomass; they acknowledge also Yu. A. Kurbatova, A. V. Varlagin, and E. M. Satosina (all from IEE RAS) for assistance in questions regarding the data from Fyodorovskoe station. They also thank A. N. Gelfan (MSU) for fruitful discussions on parameterization of hydrological processes.
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Articles in the same Issue
- Frontmatter
- Simulation of modern and future climate by INM-CM6M
- Planetary boundary layer scheme in the INMCM Earth system model
- Chemistry module for the Earth system model
- Land surface scheme TerM: the model formulation, code architecture and applications
- Computational framework for the Earth system modelling and the INM-CM6 climate model implemented on its base
Articles in the same Issue
- Frontmatter
- Simulation of modern and future climate by INM-CM6M
- Planetary boundary layer scheme in the INMCM Earth system model
- Chemistry module for the Earth system model
- Land surface scheme TerM: the model formulation, code architecture and applications
- Computational framework for the Earth system modelling and the INM-CM6 climate model implemented on its base