Articles | Volume 15, issue 17
https://doi.org/10.5194/gmd-15-6919-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6919-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
13 Sep 2022
Model description paper |
| 13 Sep 2022
Improved CASA model based on satellite remote sensing data: simulating net primary productivity of Qinghai Lake basin alpine grassland
Chengyong Wu
CORRESPONDING AUTHOR
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Academy of Plateau Science and Sustainability, Xining, 810008, China
Kelong Chen
MOE Key Laboratory of Tibetan Plateau Land Surface Processes and
Ecological Conservation/Qinghai Province Key Laboratory of Physical
Geography and Environmental Processes, Xining 810008, China
Academy of Plateau Science and Sustainability, Xining, 810008, China
Chongyi E
MOE Key Laboratory of Tibetan Plateau Land Surface Processes and
Ecological Conservation/Qinghai Province Key Laboratory of Physical
Geography and Environmental Processes, Xining 810008, China
Academy of Plateau Science and Sustainability, Xining, 810008, China
Xiaoni You
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Dongcai He
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Liangbai Hu
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Baokang Liu
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Runke Wang
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Yaya Shi
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Chengxiu Li
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Fumei Liu
MOE Key Laboratory of Tibetan Plateau Land Surface Processes and
Ecological Conservation/Qinghai Province Key Laboratory of Physical
Geography and Environmental Processes, Xining 810008, China
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Short summary
The traditional Carnegie–Ames–Stanford Approach (CASA) model driven by multisource data such as meteorology, soil, and remote sensing (RS) has notable disadvantages. We drove the CASA using RS data and conducted a case study of the Qinghai Lake basin alpine grassland. The simulated result is similar to published and measured net primary productivity (NPP). It may provide a reference for simulating vegetation NPP to satisfy the requirements of accounting carbon stocks and other applications.
The traditional Carnegie–Ames–Stanford Approach (CASA) model driven by multisource data such as...
