Observing the distribution of atmospheric methane from space

Methane (CH4) is a potent greenhouse gas with a radiative forcing efficiency 21 times greater than that of carbon dioxide (CO2) and an atmospheric lifetime of approximately 12 years. Although the annual global source strength of CH4 is fairly well constrained, the temporal and spatial variability of...

Full description

Bibliographic Details
Main Author: Knappett, Diane Shirley
Other Authors: Monks, Paul. ; Boesch, Hartmut
Published: University of Leicester 2012
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555474
id ndltd-bl.uk-oai-ethos.bl.uk-555474
record_format oai_dc
spelling ndltd-bl.uk-oai-ethos.bl.uk-5554742015-03-20T04:01:15ZObserving the distribution of atmospheric methane from spaceKnappett, Diane ShirleyMonks, Paul. ; Boesch, Hartmut2012Methane (CH4) is a potent greenhouse gas with a radiative forcing efficiency 21 times greater than that of carbon dioxide (CO2) and an atmospheric lifetime of approximately 12 years. Although the annual global source strength of CH4 is fairly well constrained, the temporal and spatial variability of individual sources and sinks is currently less well quantified. In order to constrain CH4 emission estimates, inversion models require satellite retrievals of XCH4 with an accuracy of < 1-2%. However, satellite retrievals of XCH4 in the shortwave infrared (SWIR) are often hindered by the presence of atmospheric aerosols and/or thin ice (cirrus) clouds which can lead to biases in the resulting trace gas total column of comparable magnitude. This thesis aims to quantify the magnitude of retrieval errors caused by aerosol and cirrus cloud induced scattering for the Full Spectral Initiation Weighting Function Modified Differential Optical Absorption Spectroscopy (FSI WFM-DOAS) retrieval algorithm. A series of sensitivity tests have been performed which reveal that a) for scenes of high optical depth, accurate aerosol a priori data is required to reduce retrieval errors, b) retrieval errors due to aerosol and ice cloud scattering are highly dependent on surface albedo, SZA and the altitude at which scattering occurs and c) errors induced in global retrievals by the presence of ice clouds (up to ~ 35%) are significantly greater than those owing to aerosols (~ 1-2%). Cloud filtering is therefore important even when employing proxy methods. Furthermore, the original FSI WFM-DOAS V2 algorithm (OFSI) has been successfully modified with improved a priori albedo and aerosol, resulting in two new versions of the retrieval: MFSI and GFSI. Initial comparison of OFSI, MFSI and GFSI retrievals of XCH4 over North America show minor improvements in retrieval error, however further comparison over regions of high optical depth are required.577.276University of Leicesterhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555474http://hdl.handle.net/2381/10928Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 577.276
spellingShingle 577.276
Knappett, Diane Shirley
Observing the distribution of atmospheric methane from space
description Methane (CH4) is a potent greenhouse gas with a radiative forcing efficiency 21 times greater than that of carbon dioxide (CO2) and an atmospheric lifetime of approximately 12 years. Although the annual global source strength of CH4 is fairly well constrained, the temporal and spatial variability of individual sources and sinks is currently less well quantified. In order to constrain CH4 emission estimates, inversion models require satellite retrievals of XCH4 with an accuracy of < 1-2%. However, satellite retrievals of XCH4 in the shortwave infrared (SWIR) are often hindered by the presence of atmospheric aerosols and/or thin ice (cirrus) clouds which can lead to biases in the resulting trace gas total column of comparable magnitude. This thesis aims to quantify the magnitude of retrieval errors caused by aerosol and cirrus cloud induced scattering for the Full Spectral Initiation Weighting Function Modified Differential Optical Absorption Spectroscopy (FSI WFM-DOAS) retrieval algorithm. A series of sensitivity tests have been performed which reveal that a) for scenes of high optical depth, accurate aerosol a priori data is required to reduce retrieval errors, b) retrieval errors due to aerosol and ice cloud scattering are highly dependent on surface albedo, SZA and the altitude at which scattering occurs and c) errors induced in global retrievals by the presence of ice clouds (up to ~ 35%) are significantly greater than those owing to aerosols (~ 1-2%). Cloud filtering is therefore important even when employing proxy methods. Furthermore, the original FSI WFM-DOAS V2 algorithm (OFSI) has been successfully modified with improved a priori albedo and aerosol, resulting in two new versions of the retrieval: MFSI and GFSI. Initial comparison of OFSI, MFSI and GFSI retrievals of XCH4 over North America show minor improvements in retrieval error, however further comparison over regions of high optical depth are required.
author2 Monks, Paul. ; Boesch, Hartmut
author_facet Monks, Paul. ; Boesch, Hartmut
Knappett, Diane Shirley
author Knappett, Diane Shirley
author_sort Knappett, Diane Shirley
title Observing the distribution of atmospheric methane from space
title_short Observing the distribution of atmospheric methane from space
title_full Observing the distribution of atmospheric methane from space
title_fullStr Observing the distribution of atmospheric methane from space
title_full_unstemmed Observing the distribution of atmospheric methane from space
title_sort observing the distribution of atmospheric methane from space
publisher University of Leicester
publishDate 2012
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.555474
work_keys_str_mv AT knappettdianeshirley observingthedistributionofatmosphericmethanefromspace
_version_ 1716783423444484096