Subject
Creator
- Qianlai Zhuang, 0000-0002-4536-9851 26
- Daniel Robert Chavas, 0000-0001-9172-8328 10
- Bailu Zhao, 0000-0002-1326-4801 8
- Alexandra Meyer, 0000-0002-6006-0588 4
- Lisa Welp-Smith, 0000-0001-7125-0478 4
- Mingyang Guo, 0000-0002-3087-453X 4
- Zeli Tan 4
- Douglas R Schmitt, 0000-0001-6920-0658 3
- L. Ruby Leung 3
- Licheng Liu, 0000-0002-9649-1056 3
Type
- Dataset 63
Date
Total is 63 Results
A process-based biogeochemistry model and analysis for current and future global lake methane emissions
10.4231/67YG-V518
01/25/2023
This data contains the source code of a lake biogeochemistry model - Arctic Lake Biogeochemistry Model (ALBM).
Methane emissions from land and aquatic ecosystems in Western Siberia: An analysis with methane biogeochemistry models
10.4231/80RV-X686
Qianlai Zhuang
,
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.
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)
Current and projected global lake methane emissions by mechanistic modeling
10.4231/JZ10-FH54
John Melack
,
L. Ruby Leung
,
Mingyang Guo
,
Qianlai Zhuang
,
Xin Lan
,
Youmi Oh
,
Zeli Tan
11/12/2021
Model output of methane diffusive, ebullitive, and total fluxes.
Evaluating the variability of surface soil moisture simulated within CMIP5 using SMAP data
10.4231/A0QC-7E03
Pierre Gentine
,
Qianlai Zhuang
,
Seungbum Kim
,
Xuan Xi
12/01/2021
This dataset includes the comparison results of 17 land surface models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) globally using the Soil Moisture Active Passive (SMAP) products and codes for analysis.
EAPS Fourier Analysis Land Surface Model Matlab SMAP Soil Moisture
Stormslam survey results
10.4231/ZVCB-PM81
Loran Carleton Parker
,
Robin Lynn Tanamachi
01/05/2022
De-identified results of pre- and post-course surveys given to students in EAPS 13800 (Spring 2021) who used the online game Stormslam for engagement.
A model intercomparison analysis for controls on C accumulation in North American peatlands
10.4231/982H-T007
Bailu Zhao
,
Claire Treat
,
Qianlai Zhuang
,
Steve Frolking
02/23/2022
This dataset contains the Peatland Terrestrial Ecosystem Model and Holocene Peatland Model simulation results for three peatland sites, all in text files. Three sites include: Mariana fen , Bear bog and Innoko bog.
Bias in CMIP6 historical U.S. severe convective environments driven by bias in mean-state near-surface moist static energy
10.4231/42ZJ-A891
Daniel Robert Chavas
,
Funing Li
03/08/2022
This database provides data (in NetCDF format) for reproducing figures in the manuscript of Chavas&Li (2022).
climate modeling EAPS Earth and Atmospheric Sciences severe convective storms thunderstorm
Display #
Results 1 - 10 of 63