Workshops

3rd Training Course (Virtual) on

New Advances in Land Carbon Cycle Modeling

July 20-31, 2020

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 coding, diagnostic capability, computational efficiency, and data constraints 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?

Jarrett Barber, Northern Arizona University, USA

Ye Chen, Northern Arizona University, USA

Toby Hocking, Northern Arizona University, USA

Enqing Hou, Northern Arizona University, USA

Xin Huang, Northern Arizona University, USA

Yuanyuan Huang, CSIRO, Australia

Jiang Jiang, Nanjing Forestry University, China

Lifen Jiang, Northern Arizona University, USA

Cuijuan Liao, Tsinghua University, China

Chris Lu, Sun Yat-sen University, China

Yiqi Luo, Northern Arizona University, USA

Shuang Ma, JPL/Cal Tech, USA

Daniel Ricciuto, Oak Ridge National Laboratory, USA

Zheng Shi, UC Irvine, USA

Carlos Sierra, MPI-BGC, Germany

Feng Tao, Tsinghua University, China

Jianyang Xia, East China Normal University, China

When and what is your commitment?

July 20-31, 2020 with weekend on July 25 and 26 off

You will go through 10 units of training at your home, one unit per day. For each unit, you will read one paper/syllabus, listen to pre-recorded lectures, take quizzes for each lecture, do exercises according to 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?

Trainees pay $400 of tuition fee to compensate for the time of instructors.

Graduate students enrolled for the summer course pay tuition fee of $1198 for 2 credits through Northern Arizona University, USA

Financial support available for applications from underrepresented groups in STEM in USA

How to apply?

Send your application, using the form at the top of this webpage, to Dr. Lifen Jiang (Lifen.Jiang@nau.edu) by May 22, 2020.

We will select up to 40 applicants by May 29, 2020 to attend the training course.

Past Training Courses

1st Training Course 2018

2nd Training Course 2019

3rd Training Course 2020