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DOI | 10.1029/2020MS002105 |
Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5 | |
Lu X.; Du Z.; Huang Y.; Lawrence D.; Kluzek E.; Collier N.; Lombardozzi D.; Sobhani N.; Schuur E.A.G.; Luo Y. | |
发表日期 | 2020 |
ISSN | 19422466 |
卷号 | 12期号:11 |
英文摘要 | 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. ©2020. The Authors. |
英文关键词 | biogeochemistry modeling; diagnostic; matrix approach; model structure; modularity; traceability analysis |
语种 | 英语 |
scopus关键词 | Biogeochemistry; Climate change; Climate models; Digital storage; Earth (planet); Forestry; Nitrogen; Soils; Vegetation; Biogeochemical models; Carbon and nitrogen; Community land models; Computational costs; Computational resources; Diagnostic capabilities; Earth system model; Soil carbon storage; Matrix algebra; biogeochemistry; carbon storage; climate change; climate modeling; litterfall; matrix; soil carbon; soil-vegetation interaction |
来源期刊 | Journal of Advances in Modeling Earth Systems
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/156583 |
作者单位 | 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, United States; 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, VIC, Australia; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Computer Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States |
推荐引用方式 GB/T 7714 | Lu X.,Du Z.,Huang Y.,et al. Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5[J],2020,12(11). |
APA | Lu X..,Du Z..,Huang Y..,Lawrence D..,Kluzek E..,...&Luo Y..(2020).Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5.Journal of Advances in Modeling Earth Systems,12(11). |
MLA | Lu X.,et al."Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5".Journal of Advances in Modeling Earth Systems 12.11(2020). |
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