Nitrogen cycle module for INM RAS climate model
-
Alexey Yu. Chernenkov
,
Evgeny M. Volodin
Abstract
Nitrogen is one of the most abundant chemical elements on the Earth and plays an important role in global environmental change. Leading Earth system models include coupled carbon and nitrogen cycle modules of varying complexity, but the INM RAS climate model family has not yet included an explicit N-cycle description. This paper presents a parameterization of the terrestrial N-cycle based on a simplification of the JULES-CN model, adapted for coupled use with the INM-CM land C-cycle module. Numerical simulations were carried out with a standalone carbon cycle model with nitrogen feedback disabled and enabled versions for the period 1850–2100. The simulated global pools show good agreement with results of other models with an implemented N-cycle. Taking into account the N-limitation of the C-cycle, the modelled dynamics of total carbon storage in terrestrial ecosystems from 1850 to the mid-20th century is specified.
Funding statement: The research was carried out at the Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences. The N-cycle parametrization development and its implementation into the INM-CM terrestrial carbon module (Section 1) are supported by the Russian Science Foundation, project 20-17-00190. Validation of the N-cycle parametrization and numerical experiments with the standalone INM-CM land carbon model (Sections 2 and 3) are funded by the Russian Federation research and technical development program in ecological strategy and climate change through grant FFMG-2023-0001 ‘Development of an extended version of the INM RAS Earth system model within a new computational framework’.
Acknowledgment
Numerical experiments with the INM-CM were performed using the HPC system of the Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences.
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© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Numerical solution of optimal control problems for linear systems of ordinary differential equations
- Nitrogen cycle module for INM RAS climate model
- Evaluation of 2010 heatwave prediction skill by SLNE coupled model
- Two-phase flow simulation algorithm for numerical estimation of relative phase permeability curves of porous materials
Articles in the same Issue
- Frontmatter
- Numerical solution of optimal control problems for linear systems of ordinary differential equations
- Nitrogen cycle module for INM RAS climate model
- Evaluation of 2010 heatwave prediction skill by SLNE coupled model
- Two-phase flow simulation algorithm for numerical estimation of relative phase permeability curves of porous materials
