Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5
Abstract
Abstract Earth system models (ESMs) have been rapidly developed in recent decades to advance our understanding of climate change‐carbon cycle feedback. However, those models are massive in coding, require expensive computational resources, and have difficulty in diagnosing their performance. It is highly desirable to develop ESMs with modularity and effective diagnostics. Toward these goals, we implemented a matrix approach to the Community Land Model version 5 (CLM5) to represent carbon and nitrogen cycles. Specifically, we reorganized 18 balance equations each for carbon and nitrogen cycles among the 18 vegetation pools in the original CLM5 into two matrix equations. Similarly, 140 balance equations each for carbon and nitrogen cycles among the 140 soil pools were reorganized into two additional matrix equations. The vegetation carbon and nitrogen matrix equations are connected to soil matrix equations via litterfall. The matrix equations fully reproduce simulations of carbon and nitrogen dynamics by the original model. The computational cost for forwarding simulation of the CLM5 matrix model was 26% more expensive than the original model, largely due to calculation of additional diagnostic variables, but the spin‐up computational cost was significantly saved. We showed a case study on modeled soil carbon storage under two forcing data setsmore »
- Authors:
-
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences Sun Yat‐sen University Guangzhou China, Center for Ecosystem Science and Society, Department of Biological Sciences Northern Arizona University Flagstaff AZ USA
- Center for Ecosystem Science and Society, Department of Biological Sciences Northern Arizona University Flagstaff AZ USA, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences East China Normal University Shanghai China
- CSIRO Oceans and Atmosphere Aspendale Victoria Australia
- Climate and Global Dynamics Laboratory National Center for Atmospheric Research Boulder CO USA
- Computer Science and Engineering Division Oak Ridge National Laboratory Oak Ridge TN USA
- Center for Ecosystem Science and Society, Department of Biological Sciences Northern Arizona University Flagstaff AZ USA
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division; National Natural Science Foundation of China (NSFC); National Science Foundation (NSF); National Key Research and Development Program of China
- OSTI Identifier:
- 1720182
- Alternate Identifier(s):
- OSTI ID: 1781478; OSTI ID: 1787228
- Grant/Contract Number:
- 4000161830; DE‐SC0006982; 41575072; U1811464; 41730962; 41575092; 2017884; 4000158404; DEB 1655499; 2017YFA0604600 2016YFB0200801; 2017YFA0604300; SC0006982
- Resource Type:
- Published Article
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 12 Journal Issue: 11; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; matrix approach; biogeochemistry modeling; traceability analysis; diagnostic; model structure; modularity
Citation Formats
Lu, Xingjie, Du, Zhenggang, Huang, Yuanyuan, Lawrence, David, Kluzek, Erik, Collier, Nathan, Lombardozzi, Danica, Sobhani, Negin, Schuur, Edward A. G., and Luo, Yiqi. Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5. United States: N. p., 2020.
Web. doi:10.1029/2020MS002105.
Lu, Xingjie, Du, Zhenggang, Huang, Yuanyuan, Lawrence, David, Kluzek, Erik, Collier, Nathan, Lombardozzi, Danica, Sobhani, Negin, Schuur, Edward A. G., & Luo, Yiqi. Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5. United States. https://doi.org/10.1029/2020MS002105
Lu, Xingjie, Du, Zhenggang, Huang, Yuanyuan, Lawrence, David, Kluzek, Erik, Collier, Nathan, Lombardozzi, Danica, Sobhani, Negin, Schuur, Edward A. G., and Luo, Yiqi. Wed .
"Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5". United States. https://doi.org/10.1029/2020MS002105.
@article{osti_1720182,
title = {Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5},
author = {Lu, Xingjie and Du, Zhenggang and Huang, Yuanyuan and Lawrence, David and Kluzek, Erik and Collier, Nathan and Lombardozzi, Danica and Sobhani, Negin and Schuur, Edward A. G. and Luo, Yiqi},
abstractNote = {Abstract Earth system models (ESMs) have been rapidly developed in recent decades to advance our understanding of climate change‐carbon cycle feedback. However, those models are massive in coding, require expensive computational resources, and have difficulty in diagnosing their performance. It is highly desirable to develop ESMs with modularity and effective diagnostics. Toward these goals, we implemented a matrix approach to the Community Land Model version 5 (CLM5) to represent carbon and nitrogen cycles. Specifically, we reorganized 18 balance equations each for carbon and nitrogen cycles among the 18 vegetation pools in the original CLM5 into two matrix equations. Similarly, 140 balance equations each for carbon and nitrogen cycles among the 140 soil pools were reorganized into two additional matrix equations. The vegetation carbon and nitrogen matrix equations are connected to soil matrix equations via litterfall. The matrix equations fully reproduce simulations of carbon and nitrogen dynamics by the original model. The computational cost for forwarding simulation of the CLM5 matrix model was 26% more expensive than the original model, largely due to calculation of additional diagnostic variables, but the spin‐up computational cost was significantly saved. We showed a case study on modeled soil carbon storage under two forcing data sets to illustrate the diagnostic capability that the matrix approach uniquely offers to understand simulation results of global carbon and nitrogen dynamics. The successful implementation of the matrix approach to CLM5, one of the most complex land models, demonstrates that most, if not all, the biogeochemical models can be reorganized into the matrix form to gain high modularity, effective diagnostics, and accelerated spin‐up.},
doi = {10.1029/2020MS002105},
journal = {Journal of Advances in Modeling Earth Systems},
number = 11,
volume = 12,
place = {United States},
year = {Wed Nov 18 00:00:00 EST 2020},
month = {Wed Nov 18 00:00:00 EST 2020}
}
https://doi.org/10.1029/2020MS002105
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