4th Training Course (Virtual) on

New Advances in Land Carbon Cycle Modeling

May 17-28, 2021 (with weekend on May 22 and 23 off)

Map of Participant Locations for 2021

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

Keanan Allen, Northern Arizona University, USA

Ye Chen, Northern Arizona University, USA

Sasha Hararuk, University of Central Florida, USA

Toby Hocking, Northern Arizona University, USA

Forrest Hoffman, Oak Ridge National Laboratory, USA

Enqing Hou, Northern Arizona University, USA

Xin Huang, Northern Arizona University, USA

Yuanyuan Huang, CSIRO, Australia

Dafeng Hui, Tennessee State University, USA

Jiang Jiang, Nanjing Forestry University, China

Lifen Jiang, Northern Arizona University, USA

Junyi Liang, Chinese 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, MPI-BGC, Germany

Daniel Ricciuto, Oak Ridge National Laboratory, USA

Ben Smith, Western Sydney University, Australia

Carlos Sierra, MPI-BGC, Germany

Feng Tao, Tsinghua University, China

Song Wang, Institute of Geographical Sciences and Natural Resources Research, China

Ying Wang, University of Oklahoma, USA

Jon Wells, Northern Arizona University, USA

Mat Williams, Edinburg University, UK

Jianyang Xia, East China Normal University, China

Yu Zhou, Clark University, USA

Invited speakers

Wenjuan Huang, Iowa State University, USA

Chris Jones, Met Office, UK

Trevor Keenan, UC Berkeley, USA

Alexandra Konings, Stanford University, USA

Shilong Piao, Peking University, China

Anna Trugman, UC Santa Barbara, USA

Susan Trumbore, MPI-BGC, Germany

Will Wieder, NCAR, USA

Sonke Zaehle, MPI-BGC, Germany

When and what is your commitment?

May 17-28, 2021 of Phoenix, Arizona, US time (with the weekend on May 22 and 23 off)

You will go through 10 units of online training, one unit per day. For each unit, you will read three (units 1-8) or two (units 9 and 10) chapters, 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?

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

Graduate students enrolled in the course get 2 credits through Northern Arizona University

Financial support available for applications from underrepresented groups in STEM

One book, Land Carbon Cycle Modeling: Matrix Approach, Data Assimilation, and Ecological Forecasting (manuscripts of the e-book this year), is freely available for you.

How to apply?

Please submit your application form by March 15, 2021 online via the link

HERE

We will inform you of our decision about your application by March 29, 2021.

Please contact Dr. Lifen Jiang (lifen.jiang@nau.edu) for any questions.