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
Other Authors: Zhuang, Qianlai
Format: Text
Language:English
Published: Purdue University 2015
Subjects:
Online Access:https://docs.lib.purdue.edu/dissertations/AAI10075596
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spelling ftpurdueuniv:oai:docs.lib.purdue.edu:dissertations-17132 2023-07-02T03:31:20+02:00 Quantifying terrestrial and aquatic ecosystem methane emissions with process-based biogeochemistry and atmospheric transport and chemistry models Tan, Zeli Zhuang, Qianlai 2015-01-01T08:00:00Z https://docs.lib.purdue.edu/dissertations/AAI10075596 ENG eng Purdue University https://docs.lib.purdue.edu/dissertations/AAI10075596 Theses and Dissertations Available from ProQuest Biogeochemistry|Atmospheric sciences text 2015 ftpurdueuniv 2023-06-12T21:02:44Z 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. The new process-based lake biogeochemical model includes the processes of methane production, oxidation and transport within a one-dimensional sediment and water column. The model is validated using observational data from five lakes located in Siberia and Alaska, representing a large variety of environmental conditions in the Arctic. The modeled lake temperature, dissolved methane concentration and methane fluxes agree well with the observations. It is found that bubbling-rate-controlling nitrogen stripping is the most important factor in determining methane fraction in bubbles. Lake depth and ice cover thickness in shallow waters are also controlling factors. It demonstrates that the thawing of Pleistocene-aged organic-rich ice complex (yedoma) fuels sediment methanogenesis by supplying a large amount of labile organic carbon, resulting in high methane effluxes at thermokarst margins of yedoma lakes. By using the developed process-based lake biogeochemical model with geographical datasets, it is estimated that the annual mean methane emissions from Arctic lakes are on average 11.86 Tg yr-1 during 2004-2009, which is in the range of the recent estimates of 7.1-17.3 Tg yr-1 and is on the same order of the methane emissions from northern high-latitude wetlands. The methane emission rate varies spatially over high latitudes from 110.8 mg CH4 m-2 day-1 in Alaska to 12.7 mg CH4 m-2 day-1 in northern Europe. Under Representative Concentration Pathways (RCP) 2.6 and 8.5 future climate scenarios, when assuming the distribution of lakes unchanged, the methane emissions from Arctic lakes will increase by 10.3 and 16.2 Tg CH4 yr-1, respectively, by the end of the 21st century. By adapting a region-specific ... Text Arctic Thermokarst Alaska Siberia Purdue University: e-Pubs Arctic
institution Open Polar
collection Purdue University: e-Pubs
op_collection_id ftpurdueuniv
language English
topic Biogeochemistry|Atmospheric sciences
spellingShingle Biogeochemistry|Atmospheric sciences
Tan, Zeli
Quantifying terrestrial and aquatic ecosystem methane emissions with process-based biogeochemistry and atmospheric transport and chemistry models
topic_facet Biogeochemistry|Atmospheric sciences
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. The new process-based lake biogeochemical model includes the processes of methane production, oxidation and transport within a one-dimensional sediment and water column. The model is validated using observational data from five lakes located in Siberia and Alaska, representing a large variety of environmental conditions in the Arctic. The modeled lake temperature, dissolved methane concentration and methane fluxes agree well with the observations. It is found that bubbling-rate-controlling nitrogen stripping is the most important factor in determining methane fraction in bubbles. Lake depth and ice cover thickness in shallow waters are also controlling factors. It demonstrates that the thawing of Pleistocene-aged organic-rich ice complex (yedoma) fuels sediment methanogenesis by supplying a large amount of labile organic carbon, resulting in high methane effluxes at thermokarst margins of yedoma lakes. By using the developed process-based lake biogeochemical model with geographical datasets, it is estimated that the annual mean methane emissions from Arctic lakes are on average 11.86 Tg yr-1 during 2004-2009, which is in the range of the recent estimates of 7.1-17.3 Tg yr-1 and is on the same order of the methane emissions from northern high-latitude wetlands. The methane emission rate varies spatially over high latitudes from 110.8 mg CH4 m-2 day-1 in Alaska to 12.7 mg CH4 m-2 day-1 in northern Europe. Under Representative Concentration Pathways (RCP) 2.6 and 8.5 future climate scenarios, when assuming the distribution of lakes unchanged, the methane emissions from Arctic lakes will increase by 10.3 and 16.2 Tg CH4 yr-1, respectively, by the end of the 21st century. By adapting a region-specific ...
author2 Zhuang, Qianlai
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/dissertations/AAI10075596
geographic Arctic
geographic_facet Arctic
genre Arctic
Thermokarst
Alaska
Siberia
genre_facet Arctic
Thermokarst
Alaska
Siberia
op_source Theses and Dissertations Available from ProQuest
op_relation https://docs.lib.purdue.edu/dissertations/AAI10075596
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