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Présentation Land Carbon Cycle Modeling Format Relié
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Résumé : Unit 1: Fundamentals of carbon cycle modeling. Chapter 1: Theoretical foundation of the land carbon cycle and matrix approach. Yiqi Luo. Chapter 2: Introduction to modeling. Benjamin Smith. Chapter 3: Flow diagrams and balance equations of land carbon models. Yuanyuan Huang. Chapter 4: Practice 1, Developing carbon flow diagrams and balance equations. Yuanyuan Huang. Unit 2: Matrix representation of carbon balance. Chapter 5: Developing matrix representation of land carbon models. Yuanyuan Huang. Chapter 6: Coupled carbon-nitrogen matrix models. Zheng Shi and Xingjie Lu. Chapter 7: Compartmental systems. Carlos Sierra. Chapter 8: Practice 2, Matrix representation of carbon balance equations and coding. Yuanyuan Huang. Unit 3: Carbon cycle diagnostics for uncertainty analysis. Chapter 9: Unified diagnostic system for uncertainty analysis. Yiqi Luo. Chapter 10: Matrix phosphorus model and data assimilation. Enqing Hou. Chapter 11: Principles underlying carbon dioxide removals from the atmosphere. Yiqi Luo Chapter 12: Practice 3, Diagnostic variables in matrix models. Xingjie Lu. Unit 4: Semi-analytic spin-up (SASU). Chapter 13: Non-autonomous ODE system solver and stability analysis. Ying Wang. Chapter 14: Semi-Analytic Spin-Up (SASU) of coupled carbon-nitrogen cycle models. Xingjie Lu and Jianyang Xia. Chapter 15: Time characteristics of compartmental systems. Carlos Sierra. Chapter 16: Practice 4, Efficiency and convergence of semi-analytic spin-up (SASU) in TECO. Xingjie Lu. Unit 5: Traceability and benchmark analysis. Chapter 17: Overview of traceability analysis. Jianyang Xia. Chapter 18: Applications of the transient traceability framework. Lifen Jiang. Chapter 19: Benchmark analysis. Yiqi Luo & Forrest M. Hoffman. Chapter 20: Practice 5, Traceability analysis for evaluating terrestrial carbon cycle models. Jianyang Xia & Jian Zhou. Unit 6: Introduction to data assimilation. Chapter 21: Data assimilation: Introduction, procedure, and applications. Yiqi Luo. Chapter 22: Bayesian statistics and Markov chain Monte Carlo method in data assimilation. Feng Tao. Chapter 23: Application of data assimilation to soil incubation data. Junyi Liang & Jiang Jiang. Chapter 24: Practice 6, The seven-step procedure for data assimilation. Xin Huang. Unit 7: Data assimilation with field measurements and satellite data. Chapter 25: Model-data integration at the SPRUCE experiment. Daniel Ricciuto. Chapter 26: Application of data assimilation to a peatland methane study. Shuang Ma. Chapter 27: Global data assimilation using earth observation - the CARDAMOM approach. Mathew Williams. Chapter 28: Practice 7, Data assimilation at the SPRUCE site. Shuang Ma. Unit 8: Ecological forecasting with EcoPAD. Chapter 29: Introduction to ecological forecasting. Yiqi Luo. Chapter 30: Ecological Platform for Assimilating Data (EcoPAD) for ecological forecasting. Yuanyuan Huang. Chapter 31: Community cyberinfrastructure for ecological forecasting. Xin Huang & Lifen Jiang Chapter 32: Practice 8, Ecological forecasting at the SPRUCE site. Jiang Jiang. Unit 9: Machine learning and its applications to carbon cycle research Chapter 33: Introduction t...
Biographie:
developed terrestrial ecosystem models...
Sommaire: Yiqi Luo is Liberty Hyde Bailey Professor at Cornell University, USA. He obtained his PhD degree from the University of California, Davis in 1991 and did postdoctoral research at UCLA and Stanford University from 1991 to 1994, before he worked at the Desert Research Institute as Assistant and Associate Research Professor from 1994 to 1998, the University of Oklahoma as Associate, Full, and George Lynn Cross Professor from 1999 to 2017, and Northern Arizona University as Full and Regents Professor. Professor Luo has studied land carbon cycling using empirical and modeling approaches for more than 30 years. His research program has been focused on addressing two key issues: (1) how global change alters the structure and functions of terrestrial ecosystems, and (2) how terrestrial ecosystems regulate climate change. To address these issues, Dr. Luo's laboratory has conducted field global change experiments...
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