Tags: Biogeochemistry

Resources (1-4 of 4)

  1. Data of global wetland methane emissions from artificial neural network modeling v1.0

    2020-01-16 21:41:59 | Datasets | Contributor(s): Licheng Liu, Qianlai Zhuang | doi:10.4231/3YX4-EY30

    Source code of an ANN model, site level data, input data, output data and visualization results, which are presented in the manuscript "Inventorying Global Wetland Methane Emissions Based on In Situ Data and an Artificial Neural Network...


  2. Global CO Dynamics Model Output during 1901-2100

    2019-06-28 22:47:13 | Datasets | Contributor(s): Licheng Liu, Qianlai Zhuang | doi:10.4231/JGZ8-9C75

    Global soil CO fluxes during 1901-2013, 2000-2013 and 2014-2100 from model simulations. Together with published paper, figures and tables.


  3. Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century

    2019-07-23 01:44:08 | Datasets | Contributor(s): Junrong Zha, Qianlai Zhuang | doi:10.4231/ANMV-J384

    Various levels of representations of biogeochemical processes in current biogeochemistry models contribute to uncertainty in carbon budget quantification. Detailed microbial mechanisms were incorporated into TEM 5.0 (Terrestrial Ecosystem Model).


  4. Quantifying Dissolved Organic Carbon Dynamics Using a Three-Dimensional Terrestrial Ecosystem Model at High Spatial-Temporal Resolutions

    2019-12-02 15:08:32 | Datasets | Contributor(s): Chang Liao, Qianlai Zhuang, Ruby Leung, Laodong Guo | doi:10.4231/7YY6-HQ02

    Arctic ecosystems are very sensitive to the global climate change. This study provides a modeling framework to adequately quantify the Arctic land ecosystem carbon budget by considering the lateral transport of carbon affected by permafrost...


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