Subject
Creator
- Bailu Zhao, 0000-0002-1326-4801 8
- Mingyang Guo, 0000-0002-3087-453X 4
- Licheng Liu, 0000-0002-9649-1056 3
- Seungbum Kim 3
- Steve Frolking, 0000-0001-6414-5004 3
- Xuan Xi, 0000-0003-1886-3085 3
- Zeli Tan 3
- L. Ruby Leung 2
- Narasinha Shurpali 2
Type
- Dataset 26
Date
subject: EAPS creator: Qianlai Zhuang, 0000-0002-4536-9851
Total is 26 Results
Weakening cooling effect of northern peatlands on the global climate system during the 21st century
10.4231/BB7M-HN65
03/30/2023
This dataset contains the code, run directory and outputs for Peatland Terrestrial Ecosystem Model v 2.3.
2100 C budget climate modeling EAPS Holocene N dynamcis northern peatlands
Code and Model results for Soil organic carbon is a key determinant of CH4 sink in global forest soils
10.4231/8K7W-NF84
Hojeong Kang
,
Jaehyun Lee
,
Qianlai Zhuang
,
Youmi Oh
05/09/2023
This dataset contains code and model results for the paper 'Soil organic carbon is a key determinant of CH4 sink in global forest soils' by Lee et al. (2023).
Biogeochemistry EAPS global forest soils Methane Dynamics Model (MDM) soil methane oxidation
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)
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)
Display #
Results 1 - 10 of 26