Datasets

subject: Earth and Atmospheric Sciences type: dataset date: 2019

Total is 6 Results
Vertical profile observations of water vapor deuterium excess in the lower troposphere

10.4231/1MZN-1C18

Brian H. Stirm, Kristian Hajny, Lisa R. Welp, 0000-0001-7125-0478, Michael E. Baldwin, Olivia E. Salmon, Paul B. Shepson

08/15/2019

Airborne vertical profile measurements of water vapor stable isotopes to examine how boundary layer, cloud, and mixing processes influence the vertical structure of deuterium-excess in the lower troposphere.

Climate EAPS Earth and Atmospheric Sciences Flight Cruise Indianapolis Isotope Meteorology Washington Water Vapor Weather

Global CO Dynamics Model Output during 1901-2100

10.4231/JGZ8-9C75

Licheng Liu, 0000-0002-9649-1056, Qianlai Zhuang, 0000-0002-4536-9851

07/05/2019

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

Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century

10.4231/ANMV-J384

Junrong Zha, Qianlai Zhuang, 0000-0002-4536-9851

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

Avnika Manaktala, 0000-0003-4470-4037

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, 0000-0002-7348-8858, Laodong Guo, Qianlai Zhuang, 0000-0002-4536-9851, 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

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