Creator
- Qianlai Zhuang, 0000-0002-4536-9851 3
- Matthew Huber, 0000-0002-2771-9977 2
- Ashley Dicks 1
- Avnika Manaktala, 0000-0003-4470-4037 1
- Brent Helliker 1
- Chang Liao, 0000-0002-7348-8858 1
- Charlotte O'Brien 1
- Dan Kou 1
- Dongsheng Zhao 1
- Du Zheng 1
Type
- Dataset 6
Date
subject: Earth and Atmospheric Sciences subject: Climate Change
Total is 6 Results
The enigma of Oligocene climate and global surface temperature evolution
10.4231/SFX6-RZ18
Charlotte O'Brien
,
Ellen Thomas
,
James Super
,
Leanne Elder
,
Mark Pagani
,
Matthew Huber
,
Pincelli Hull
09/04/2020
This is supporting material for "The enigma of Oligocene climate and global surface temperature evolution" published in PNAS in 2020 by O'Brien et al.
Climate Change climate modeling Earth and Atmospheric Sciences ice volume organic biomarkers oxygen isotopes Paleoclimate Sea level rise
C4 photosynthesis and climate through the lens of optimality
10.4231/R7PR7T75
Ashley Dicks
,
Brent Helliker
,
Erol Akçay
,
Haoran Zhou
,
Matthew Huber
10/30/2018
Post-processed climate model output and associated source code for "C4 photosynthesis and climate through the lens of optimality"
c4 Climate Change EAPS Earth and Atmospheric Sciences Evolution Huber Miocene Paleoclimate Plants
Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century
10.4231/ANMV-J384
07/25/2019
Various levels of representations of biogeochemical processes in current biogeochemistry models contribute to uncertainty in carbon budget quantification. Detailed microbial mechanisms were incorporated into TEM 5.0 (Terrestrial Ecosystem Model).
Arctic Region Biogeochemistry Carbon Dynamics Climate Change EAPS Earth and Atmospheric Sciences Microbial-Based Model Terrestrial Ecosystem Model (TEM)
Modeling the Sea Level Changes in Guam
10.4231/0A0F-7A84
10/14/2019
This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.
Climate Change Data Education Earth and Atmospheric Sciences FAIR Data Machine Learning Sea level rise Statistical analysis Statistical Methods
Quantifying Dissolved Organic Carbon Dynamics Using a Three-Dimensional Terrestrial Ecosystem Model at High Spatial-Temporal Resolutions
10.4231/7YY6-HQ02
Chang Liao
,
Laodong Guo
,
Qianlai Zhuang
,
Ruby Leung
12/02/2019
Arctic ecosystems are very sensitive to the global climate change. This study provides a modeling framework to adequately quantify the Arctic land ecosystem carbon budget by considering the lateral transport of carbon affected by permafrost...
Alaska Arctic Region Biogeochemistry C Carbon Cycle Climate Change Earth and Atmospheric Sciences ECO3D Ecosystem Hydrology LSM Permafrost TEM
Data for Permafrost Degradation Diminishes Terrestrial Ecosystem Carbon Sequestration Capacity on the Qinghai-Tibetan Plateau
10.4231/03FM-XN05
Dan Kou
,
Dongsheng Zhao
,
Du Zheng
,
Lei Liu
,
Qianlai Zhuang
,
Yuanhe Yang
09/17/2021
Dataset about the effects of permafrost degradation on C and N cycling on the Qinghai-Tibetan Plateau in the 21st century
Carbon Sequestration Climate Change Earth and Atmospheric Sciences Matlab Nitrogen Availability Permafrost degradation Qinghai-Tibetan Plateau
Display #
Results 1 - 6 of 6