Datasets

subject: EAPS creator: Qianlai Zhuang, 0000-0002-4536-9851

Total is 26 Results
A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture

10.4231/SBB0-V865

Qianlai Zhuang ORCID logo , Xinyu Liu , Xuan Xi ORCID logo

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)

Methane emissions from Arctic landscapes during 2000-2015: An analysis with land and lake biogeochemistry models

10.4231/SJC1-9F83

Qianlai Zhuang ORCID logo , Xiangyu Liu ORCID logo

11/15/2022

This data contains the processed model output of methane emission from the ALBM and TEM-MDM models.

ALBM EAPS lake Methane Emission TEM-MDM wetlands

Linking biogeochemical and hydrodynamic processes to model methane fluxes in shallow, tropical floodplain lakes.

10.4231/4WN4-S032

Mingyang Guo ORCID logo , Qianlai Zhuang ORCID logo

01/26/2023

This dataset contains the revised Arctic Lake Biogeochemistry Model (ALBM) code for the study of Linking biogeochemical and hydrodynamic processes to model methane fluxes in shallow, tropical floodplain lakes.

ALBM EAPS lake model Methane Emission

A process-based biogeochemistry model and analysis for current and future global lake methane emissions

10.4231/67YG-V518

Mingyang Guo ORCID logo , Qianlai Zhuang ORCID logo

01/25/2023

This data contains the source code of a lake biogeochemistry model - Arctic Lake Biogeochemistry Model (ALBM).

ALBM Biogeochemical model EAPS lake model Methane Emission

Methane emissions from land and aquatic ecosystems in Western Siberia: An analysis with methane biogeochemistry models

10.4231/80RV-X686

Qianlai Zhuang ORCID logo , Seungbum Kim , Xuan Xi , Zhen Zhang

02/27/2023

This dataset contains the main codes and data for the methane emissions quantification from land and aquatic ecosystems in Western Siberia based on biogeochemical methane models.

ALBM EAPS Matlab Methane Emission TEM-MDM

Weakening cooling effect of northern peatlands on the global climate system during the 21st century

10.4231/BB7M-HN65

Bailu Zhao ORCID logo , Qianlai Zhuang ORCID logo

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 ORCID logo , Qianlai Zhuang ORCID logo , Youmi Oh ORCID logo

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 ORCID logo , Narasinha Shurpali ORCID logo , Qianlai Zhuang ORCID logo , Ye Yuan ORCID logo

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)

Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene

10.4231/6647-C769

Bailu Zhao ORCID logo , Qianlai Zhuang ORCID logo , Steve Frolking ORCID logo

05/26/2022

This dataset is used to reproduce the results in Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene. The dataset includes simulated pan-Arctic peat thickness, soil C stock and historical permafrost...

basal date EAPS Holocene P-TEM pan-Arctic peatland Permafrost

Peatlands and their carbon dynamics in northern high latitudes from 1990 to 2300: A process-based biogeochemistry model analysis

10.4231/QP7V-V527

Bailu Zhao ORCID logo , Qianlai Zhuang ORCID logo

09/20/2022

This study simulates the C dynamics of northern peatlands during1990-2300. Before 2100, northern peatlands are a C source under all climate scenarios except for the mildest one. Afterwards, northern peatlands under all scenarios are C sources.

C source EAPS future response northern peatlands P-TEM

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