Dataset of the net primary production on the Qinghai-Tibetan Plateau using a soil water content improved Biome-BGC model

• Published in: Data in Brief
• Main Authors: Chuanhua Li, Hao Sun, Xiaodong Wu, Haiyan Han
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2019
• Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Science (General); Q1-390; permafrost
• Online Access: https://doi.org/10.1016/j.dib.2019.104740; https://doaj.org/article/8e76ff1935944bd0a098e72ea9c2916d

The Biome-BGC (biome biogeochemical cycles) model is widely used for modeling the net primary productivity (NPP) of ecosystems. However, this model ignores soil water changes during the freeze-thaw process in permafrost regions, which may lead to considerable errors in the NPP estimations. In this context we propose a numerical simulation method for improving soil water content during the freeze-thaw process based on the field observation data of soil water and temperature. This approach does not require new parameters and has no impact on other modules. The improvement of soil water content during the freeze-thaw process was then incorporated in the Biome-BGC model for NPP in an alpine meadow in the central Qinghai-Tibetan Plateau (QTP). Interpretation of this data can be found in a research article entitled “An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model” (Li et al., 2019). Keywords: Soil water, Biome-BGC, Net primary production, Freeze-thaw process, Qinghai-Tibetan Plateau