Workshops
7th Training Course (Hybrid Virtual + in Person) on
New Advances in Land Carbon Cycle Modeling
June 3-14, 2024 (with weekend on June 8 and 9 off)
** To pay your tuition fee, please click Pay Now
Who should attend?
Graduate students, post-docs and young scientists who want to learn modeling, data assimilation, machine learning, deep learning, and ecological forecasting
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?
New theory on land carbon storage dynamics
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
Ye Chen, Northern Arizona U, USA
Julia Green, U of Arizona, USA
Toby Hocking, Northern Arizona U, USA
Forrest Hoffman, ORNL, USA
Enqing Hou, South China Bot. Garden, China
Xin Huang, NCAR, USA
Yuanyuan Huang, IGSNRR, CAS, China
Jiang Jiang, Nanjing Forestry U, China
Lifen Jiang, Cornell U, USA
Junyi Liang, China Agricultural U, China
Xingjie Lu, Sun Yat-sen U, China
Yiqi Luo, Cornell U, USA
Shuang Ma, UCLA/JPL, USA
Daniel Ricciuto, ORNL, USA
Zheng Shi, U of Oklahoma, USA
Carlos Sierra, MPI-BGC, Germany
Ben Smith, Western Sydney U, Australia
Feng Tao, Cornell U, USA
Ying Wang, U of Oklahoma, USA
Matthew Williams, Edinburg U, UK
Jianyang Xia, East China Normal U, China
Yao Zhang, Peking U, China
Jian Zhou, Cornell U, USA
Yu Zhou, Cornell U, USA
Invited speakers
William Anderegg, U of Utah
Ana Bastos, Max Planck Institute for BGC, Germany
Katerina Georgiou, Livermore National Lab
Vipin Kumar, U of Minnesota
Shuli Niu, IGSNRR, Chinese Academy of Sciences
Jennifer Rudgers, U of New Mexico
Marko Scholze, Lund U, Sweden
Feng Tao, Cornell U
Xiangtao Xu, Cornell U
When and what is your commitment?
June 3-14, 2024 of Eastern Daylight Time (EDT) (with the weekend on June 8 and 9 off)
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?
Tuition fee $500 for online and $1200 for in-person attendees (in-person location: Cornell University, Ithaca, New York, USA) to compensate for the time of instructors.
Financial support available for applications from underrepresented groups in STEM in USA.
One textbook Land Carbon Cycle Modeling: Matrix Approach, Data Assimilation, and Ecological Forecasting is freely available
How to apply?
Please submit your application form by February 2, 2024 online via the link HERE
We will inform you of our decision about your application by February 16, 2024.
Please contact Dr. Lifen Jiang (lj289@cornell.edu) for any questions.
