Abstract

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.

Keywords

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

Degree Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Earth, Atmospheric, and Planetary Sciences

First Advisor

Qianlai Zhuang

Committee Member 1

Harshvardhan Harshvardhan

Committee Member 2

Paul Shepson

Committee Member 3

Robert Nowack

Committee Member 4

Qianlai Zhuang

Date of Award

January 2015

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