Subject
Creator
- Qianlai Zhuang, 0000-0002-4536-9851 5
- Xinyu Liu 2
- Xuan Xi, 0000-0003-1886-3085 2
- Bailu Zhao, 0000-0002-1326-4801 1
- Junrong Zha 1
- Narasinha Shurpali, 0000-0003-1052-4396 1
- Ye Yuan, 0000-0003-1330-4049 1
- Yiming Xu 1
Type
- Dataset 5
Date
subject: EAPS subject: Terrestrial Ecosystem Model (TEM)
Total is 5 Results
Quantifying the impacts of wildfires on soil thermal, hydrological and carbon dynamics in northern Eurasia from 2003 to 2016
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
A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture
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)
A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture
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)
Modeling N2O emission from the pan-Arctic terrestrial ecosystems
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)
Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century
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)
Display #
Results 1 - 5 of 5