subject: Terrestrial Ecosystem Model (TEM)
10.4231/GJ6M-7259
08/01/2023
TEM model simulation results
ecosystem model Soil Temperature Terrestrial Ecosystem Model (TEM) Wildfire
10.4231/4Q4V-MB96
11/27/2023
TEM model simulation results
Carbon Dynamics soil thermal Terrestrial Ecosystem Model (TEM) Wildfire
10.4231/KZ5W-DC21
Bailu Zhao , Narasinha Shurpali , Qianlai Zhuang , Ye Yuan
05/17/2023
This dataset contains the main codes and data for the N2O emissions quantification from pan-Arctic terrestrial ecosystems on a process-based biogeochemical model.
Arctic Region EAPS N2O emission Permafrost Terrestrial Ecosystem Model (TEM)
10.4231/ZJM7-A207
05/02/2024
It contains simulation results of TEM in Eurasia during 2003-2016.
Carbon Dynamics EAPS Terrestrial Ecosystem Model (TEM) Wildfire
10.4231/NR0B-EJ07
Qianlai Zhuang , Xinyu Liu , Xuan Xi
05/24/2024
This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.
EAPS Long short-term memory (LSTM) Physics-Guided Deep Learning Soil Moisture Terrestrial Ecosystem Model (TEM)
10.4231/ANMV-J384
07/25/2019
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).
Arctic Region Biogeochemistry Carbon Dynamics Climate Change EAPS Earth and Atmospheric Sciences Microbial-Based Model Terrestrial Ecosystem Model (TEM)
10.4231/W1M6-4651
08/22/2019
Methane flux output from Terrestrial Ecosystem Model and Methane Dynamics Model (TEM-MDM) and data used in visualization.
Biogeochemical Earth and Atmospheric Sciences Interactive Data Language (IDL) Methane Dynamics Model (MDM) Methane Emission Modeling Seasonal Wetlands Terrestrial Ecosystem Model (TEM)
10.4231/SBB0-V865
Qianlai Zhuang , Xinyu Liu , Xuan Xi
08/21/2024
This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.
EAPS Long short-term memory (LSTM) Physics-Guided Deep Learning Soil Moisture Terrestrial Ecosystem Model (TEM)
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