subject: EAPS creator: Qianlai Zhuang, 0000-0002-4536-9851
10.4231/FYFN-1Z68
Mingyang Guo , Narasinha Shurpali , Pertti Martikainen , Pirkko Kortelainen , Qianlai Zhuang , Sari Juutinen , Zeli Tan
03/30/2020
This publication includes model output of a lake biogeochemistry model ALBM, and data analysis codes which were used for paper 'Rising methane emissions from boreal lakes due to increasing ice-free days' by Guo et al. in Environmental Research...
10.4231/QP7V-V527
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.
10.4231/FV42-TZ12
Bailu Zhao , Qianlai Zhuang , Steve Frolking
10/24/2022
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...
EAPS Holocence norhtern peatlands P-TEM Permafrost Python Code
10.4231/E1AD-DB33
10/04/2022
This data contains model output of net primary production (NPP), heterotrophic respiration (RH), foliage projection cover (FPC) and soil temperature.
10.4231/SJC1-9F83
11/15/2022
This data contains the processed model output of methane emission from the ALBM and TEM-MDM models.
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/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)
10.4231/4WN4-S032
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.
10.4231/67YG-V518
01/25/2023
This data contains the source code of a lake biogeochemistry model - Arctic Lake Biogeochemistry Model (ALBM).
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