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/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/XK25-7981
06/10/2020
Global soil CO fluxes during 1901-2013, 2000-2013 and 2014-2100 from model simulations. Together with published paper, figures and tables.
Atmospheric Chemistry Modeling Biogeochemistry Carbon Monoxide Climate Climate Dynamics EAPS Earth and Atmospheric Sciences
10.4231/8GEV-2P56
Bailu Zhao , Catherine Prigent , Filipe Aires , Jason K. Keller , Qianlai Zhuang , Scott Bridgham , Sirui Wang , Zicheng Yu
06/18/2020
This dataset include the necessary data and codes to reproduce the figures used in the paper.
10.4231/TSK3-1733
Bailu Zhao , Jukka Pumpanen , Narasinha Shurpali , Qianlai Zhuang
06/18/2020
The bundle contains the codes and data used to generate the figures in the paper.
boreal fires burn severity carbon loss EAPS North America TEM
10.4231/8246-C724
Huaxia Yao , L. Ruby Leung , Malgorzata Golub , Mingyang Guo , Qianlai Zhuang , Zeli Tan
09/08/2020
This dataset includes the model intercomparison results using the Arctic Lake Biogeochemistry Model (ALBM) and codes for analysis.
EAPS global lake thermal dynamics lake model model intercomparison
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)
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