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...

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Main Author: Tan, Zeli
Format: Text
Language:unknown
Published: Purdue University 2015
Subjects:
Online Access:https://docs.lib.purdue.edu/open_access_dissertations/1490
https://docs.lib.purdue.edu/context/open_access_dissertations/article/2706/viewcontent/Tan_purdue_0183D_19336.pdf
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spelling ftpurdueuniv:oai:docs.lib.purdue.edu:open_access_dissertations-2706 2023-07-02T03:31:09+02:00 Quantifying Terrestrial and Aquatic Ecosystem Methane Emissions with Process-based Biogeochemistry and Atmospheric Transport and Chemistry Models Tan, Zeli 2015-01-01T08:00:00Z application/pdf https://docs.lib.purdue.edu/open_access_dissertations/1490 https://docs.lib.purdue.edu/context/open_access_dissertations/article/2706/viewcontent/Tan_purdue_0183D_19336.pdf unknown Purdue University https://docs.lib.purdue.edu/open_access_dissertations/1490 https://docs.lib.purdue.edu/context/open_access_dissertations/article/2706/viewcontent/Tan_purdue_0183D_19336.pdf Open Access Dissertations arctic lakes atmospheric inverse modeling biogeochemical models methane emissions text 2015 ftpurdueuniv 2023-06-12T21:16:33Z 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. Text Arctic Purdue University: e-Pubs Arctic
institution Open Polar
collection Purdue University: e-Pubs
op_collection_id ftpurdueuniv
language unknown
topic arctic lakes
atmospheric inverse modeling
biogeochemical models
methane emissions
spellingShingle arctic lakes
atmospheric inverse modeling
biogeochemical models
methane emissions
Tan, Zeli
Quantifying Terrestrial and Aquatic Ecosystem Methane Emissions with Process-based Biogeochemistry and Atmospheric Transport and Chemistry Models
topic_facet arctic lakes
atmospheric inverse modeling
biogeochemical models
methane emissions
description 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.
format Text
author Tan, Zeli
author_facet Tan, Zeli
author_sort Tan, Zeli
title Quantifying Terrestrial and Aquatic Ecosystem Methane Emissions with Process-based Biogeochemistry and Atmospheric Transport and Chemistry Models
title_short Quantifying Terrestrial and Aquatic Ecosystem Methane Emissions with Process-based Biogeochemistry and Atmospheric Transport and Chemistry Models
title_full Quantifying Terrestrial and Aquatic Ecosystem Methane Emissions with Process-based Biogeochemistry and Atmospheric Transport and Chemistry Models
title_fullStr Quantifying Terrestrial and Aquatic Ecosystem Methane Emissions with Process-based Biogeochemistry and Atmospheric Transport and Chemistry Models
title_full_unstemmed Quantifying Terrestrial and Aquatic Ecosystem Methane Emissions with Process-based Biogeochemistry and Atmospheric Transport and Chemistry Models
title_sort quantifying terrestrial and aquatic ecosystem methane emissions with process-based biogeochemistry and atmospheric transport and chemistry models
publisher Purdue University
publishDate 2015
url https://docs.lib.purdue.edu/open_access_dissertations/1490
https://docs.lib.purdue.edu/context/open_access_dissertations/article/2706/viewcontent/Tan_purdue_0183D_19336.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Open Access Dissertations
op_relation https://docs.lib.purdue.edu/open_access_dissertations/1490
https://docs.lib.purdue.edu/context/open_access_dissertations/article/2706/viewcontent/Tan_purdue_0183D_19336.pdf
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