Modelling soil organic carbon turnover with assimilation of satellite soil moisture data

Authors

DOI:

https://doi.org/10.31713/MCIT.2021.31

Keywords:

soil organic carbon, carbon turnover, CENTURY model, mathematical modelling, soil moisture, data assimilation

Abstract

The content of organic carbon is one of the essential factors that define soil quality. It is also notoriously challenging to model due to a multitude of biological and abiotic factors influencing the process. In this study, we investigate how decomposition of soil organic matter is affected by soil moisture and temperature. Soil organic carbon turnover is simulated by the CENTURY model. The accuracy of soil moisture data used is ensured by data assimilation approach, combing mathematical model and satellite retrievals. Numerical experiments demonstrate the influence of soil moisture regimes and climate on the quantity of soil humus stocks.

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Published

2021-11-21

How to Cite

Stepanchenko, O., Shostak, L., Kozhushko, O., Moshynskyi, V., & Martyniuk, P. (2021). Modelling soil organic carbon turnover with assimilation of satellite soil moisture data. Modeling, Control and Information Technologies, (5), 97–99. https://doi.org/10.31713/MCIT.2021.31

Issue

No. 5 (2021): Modeling, control and information technologies

Section

index

License

Copyright (c) 2021 Modeling, Control and Information Technologies: Proceedings of International scientific and practical conference

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This work is licensed under a Creative Commons Attribution 4.0 International License.

All materials are distributed under the terms of the Creative Commons Attribution 4.0 International License, which allows others to distribute the work with attribution to the authorship of this work and the first publication in this journal.

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