Tags: Terrestrial Ecosystem Model (TEM)

Resources (1-5 of 5)

  1. Wildfires shift a cumulative carbon sink to a source for boreal forest ecosystems in North America from 1986 to 2020

    2023-11-27 17:23:27 | Datasets | Contributor(s): Qianlai Zhuang, Yiming Xu | doi:10.4231/GJ6M-7259

    TEM model simulation results

    https://purr.purdue.edu/publications/4340

  2. Wildfires shift a cumulative carbon sink to a source for boreal forest ecosystems in North America from 1986 to 2020

    2023-08-01 14:15:55 | Datasets | Contributor(s): Qianlai Zhuang, Yiming Xu | doi:10.4231/GJ6M-7259

    TEM model simulation results

    https://purr.purdue.edu/publications/4340

  3. Modeling N2O emission from the pan-Arctic terrestrial ecosystems

    2023-05-17 17:05:20 | Datasets | Contributor(s): Ye Yuan, Qianlai Zhuang, Bailu Zhao, Narasinha Shurpali | doi:10.4231/KZ5W-DC21

    This dataset contains the main codes and data for the N2O emissions quantification from pan-Arctic terrestrial ecosystems on a process-based biogeochemical model.

    https://purr.purdue.edu/publications/4285

  4. Global Methane Fluxes from Wetland using Mechanistically-based Biogeochemistry Model

    2019-08-22 16:25:17 | Datasets | Contributor(s): Licheng Liu, Qianlai Zhuang | doi:10.4231/W1M6-4651

    Methane flux output from Terrestrial Ecosystem Model and Methane Dynamics Model (TEM-MDM) and data used in visualization.

    https://purr.purdue.edu/publications/3247

  5. 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).

    https://purr.purdue.edu/publications/3239

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