Datasets

Subject
Creator
Type
Date

subject: Earth and Atmospheric Sciences

Total is 19 Results
Global CO Dynamics Model Output during 1901-2100

10.4231/XK25-7981

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

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

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, 0000-0002-2771-9977, 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

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)

Global Methane Fluxes from Wetland using Mechanistically-based Biogeochemistry Model

10.4231/W1M6-4651

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

08/22/2019

Methane flux output from Terrestrial Ecosystem Model and Methane Dynamics Model (TEM-MDM) and data used in visualization.

Biogeochemical Earth and Atmospheric Sciences Interactive Data Language (IDL) Methane Dynamics Model (MDM) Methane Emission Modeling Seasonal Wetlands Terrestrial Ecosystem Model (TEM)

Competing Topographic Mechanisms

10.4231/4KJV-B657

Matthew Huber, 0000-0002-2771-9977, Rene Paul Acosta, 0000-0002-3978-1727

01/06/2020

The Indo-Asian Monsoon (IAM) circulation is an exemplar for how tectonic processes interact with regional climate systems. This study aims to identify the impact of orography on the IAM using high-resolution models.

CESM Climate Earth and Atmospheric Sciences High-resolution Himalayas Monsoon Paleoclimate Tibet

Code and Data for Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic

10.4231/Q3R8-SZ17

Bo Elberling, David Medvigy, Edward J. Dlugokencky, Gustaf Hugelius, Licheng Liu, 0000-0002-9649-1056, Lisa R. Welp-Smith, 0000-0001-7125-0478, Lori Bruhwiler, Ludovica D'Imperio, Maggie C.Y. Lau, Qianlai Zhuang, 0000-0002-4536-9851, Tullis C. Onstott, Youmi Oh, 0000-0002-4685-0567

02/04/2020

This publication contains code and data of a biogeochemistry model, XPTEM-XHAM, for paper "Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic" by Oh et al. accepted in Nature Climate Change.

Arctic Region Biogeochemistry EAPS Earth and Atmospheric Sciences Methane Dynamics Model (MDM) Methane Emission Microbial-Based Model soil

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

The Influence of Elevated Smoke Layers on Stratocumulus Clouds over the SE Atlantic

10.4231/K195-9C37

H. Harshvardhan, 0000-0003-1629-9847, Peter Colarco, Sampa Das, 0000-0003-4221-9740

01/09/2020

Data associated with the publication "Influence of Elevated Smoke Layers on Stratocumulus Clouds over the SE Atlantic in the NASA Goddard Earth Observing System (GEOS) Model"

Aerosols Atlantic Ocean Climate Clouds Earth and Atmospheric Sciences GCM NASA

The Influence of Elevated Smoke Layers on Stratocumulus Clouds over the SE Atlantic - 1

10.4231/EEHP-QG72

H. Harshvardhan, 0000-0003-1629-9847, Peter R. Colarco, Sampa Das, 0000-0003-4221-9740

01/09/2020

Aerosol climatologies data associated with the publication "Influence of Elevated Smoke Layers on Stratocumulus Clouds over the SE Atlantic in the NASA Goddard Earth Observing System (GEOS) Model"

Aerosols Atlantic Ocean Climate Clouds Earth and Atmospheric Sciences GCM NASA

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Results 1 - 10 of 19