Quantifying Terrestrial and Aquatic Ecosystem Methane Emissions with Process-based Biogeochemistry and Atmospheric Transport and Chemistry Models

To improve the quantification of methane emissions from Arctic wetlands and lakes, an integrated modeling framework was developed. It includes a newly developed process-based lake biogeochemical model and a widely used 4-D VAR inversion algorithm implemented with the nested grid high-resolution GEOS-Chem Adjoint model.

Name thesis:degree_name

Doctor of Philosophy (PhD)

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Earth, Atmospheric, and Planetary Sciences

Year

2015

Author dc:creator

• Tan, Zeli

Contributors dc:contributor

• Qianlai Zhuang
• Harshvardhan Harshvardhan
• Paul Shepson
• Robert Nowack

• arctic lakes
• atmospheric inverse modeling
• biogeochemical models
• methane emissions

Repository record dc:identifier

https://docs.lib.purdue.edu/open_access_dissertations/1490

OAI identifier oai:identifier

oai:docs.lib.purdue.edu:open_access_dissertations-2706