

New Advances in Land Carbon Cycle Modeling
Modelers who want to gain simplicity in structure, computational efficiency for your models
Empiricists who want to use your data to constrain models toward ecological forecasting
What are you going to learn?
Matrix approach to land carbon, nitrogen, and phosphorus modeling
Data assimilation system with both flux- and pool-based observations
Deep learning and machine learning to enhance process-based research
Ecological forecasting
Who is going to teach?
Lecturers and instructors
Aneesh Chandel, Northern Arizona University, USA
Ye Chen, Northern Arizona University, USA
Toby Hocking, Northern Arizona University, USA
Forrest Hoffman, Oak Ridge National Laboratory, USA
Enqing Hou, South China Botanical Garden, China
Xin Huang, Northern Arizona University, USA
Yuanyuan Huang, CSIRO, Australia
Jiang Jiang, Nanjing Forestry University, China
Lifen Jiang, Northern Arizona University, USA
Yu Jiang, Cornell University, USA
Junyi Liang, China Agricultural University, China
Cuijuan Liao, Tsinghua University, China
Xingjie (Chris) Lu, Sun Yat-sen University, China
Yiqi Luo, Northern Arizona University, USA
Shuang Ma, JPL/Cal Tech, USA
Umakant Mishra, Sandia National Laboratory, USA
Markus Mueller, Northern Arizona University, USA
Daniel Ricciuto, Oak Ridge National Laboratory, USA
Carlos Sierra, MPI-BGC, Germany
Ben Smith, Western Sydney University, Australia
Feng Tao, Tsinghua University, China
Kostiantyn Viatkin, Northern Arizona University, USA
Ying Wang, University of Oklahoma, USA
Jon Wells, Northern Arizona University, USA
Matthew Williams, Edinburg University, UK
Jianyang Xia, East China Normal University, China
Yao Zhang, Peking University, China
Yu Zhou, Northern Arizona University, USA
Invited speakers
Pep Canadell, CSIRO, Australia
Istem Fer, Finnish Meteorological Institute, Finland
Hyungsub Kim, Korea University, South Korea
Dave Lawrence, NCAR, USA
Natasha MacBean, Indiana University, USA
Peter Reich, University of Minnesota, USA
Yang Song, University of Arizona, USA
Emma Stell, University of Delaware, USA
Kostiantyn Viatkin, Northern Arizona University, USA
When and what is your commitment?
You will go through 10 units of online training, one unit per day. For each unit, you will read three chapters or other training materials, listen to corresponding pre-recorded lectures, take quizzes, do exercises according to one pre-recorded instruction, and attend one synchronized virtual meeting.
You will get feedback from instructors on your answers to quizzes and exercises.
What is the cost?
Financial support available for applications from underrepresented groups in STEM.
One textbook Land Carbon Cycle Modeling: Matrix Approach, Data Assimilation, and Ecological Forecasting is freely available.
How to apply?