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Quantifying methane emissions using ...

Wecht, Kevin James.

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Quantifying methane emissions using satellite observations.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantifying methane emissions using satellite observations./
Author:	Wecht, Kevin James.
Description:	117 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-06(E), Section: B.
Contained By:	Dissertation Abstracts International75-06B(E).
Subject:	Atmospheric Chemistry. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3611593
ISBN:	9781303724794

Quantifying methane emissions using satellite observations.
Wecht, Kevin James.

Quantifying methane emissions using satellite observations. - 117 p.

Source: Dissertation Abstracts International, Volume: 75-06(E), Section: B.

Thesis (Ph.D.)--Harvard University, 2014.

Methane is the second most influential anthropogenic greenhouse gas. There are large uncertainties in the magnitudes and trends of methane emissions from different source types and source regions. Satellite observations of methane offer dense spatial coverage unachievable by suborbital observations. This thesis evaluates the capabilities of using satellite observations of atmospheric methane to provide high-resolution constraints on continental scale methane emissions. In doing so, I seek to evaluate the supporting role of suborbital observations, to inform the emission inventories on which policy decisions are based, and to enable inverse modeling of the next generation of satellite observations. Errors were characterized in the standard TES methane data product using observations from the HIPPO aircraft campaign. An observation system simulation experiment (OSSE) using synthetic TES-like observations showed that TES can constrain emissions on global to continental scales. An experimental TES methane data product containing two pieces of information in the vertical has smaller errors than the standard product, and is therefore of promising value for constraining methane emissions. Methane emissions in the United States (US) are quantified during summer 2004 using observations from SCIAMACHY, which has dense spatial coverage and sensitivity throughout the troposphere. Aircraft data from the INTEX-A campaign serve to characterize errors in the SCIAMACHY data and to evaluate inversion results. An inversion at ~100x100 km2 horizontal resolution provides the optimal estimate of US emissions. Optimized emissions are larger than estimated by the US Environmental Protection Agency (EPA), particularly from livestock sources. Methane emissions from California are quantified using a dense set of aircraft observations from the CalNex campaign (May-June 2010) are found to be nearly a factor of two higher than estimated by the California Air Resources Board. Satellite observations from TES constrain free troposheric background methane while GOSAT observations identify the spatial pattern of error observed by CalNex but are too sparse to quantify statewide emissions. OSSEs show that the future TROPOMI satellite instrument may constrain California emissions at a detail comparable to the CalNex observations. Geostationary observations offer even greater for constraining future emissions.

ISBN: 9781303724794Subjects--Topical Terms:

1669583
Atmospheric Chemistry.

Quantifying methane emissions using satellite observations.
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502 $a Thesis (Ph.D.)--Harvard University, 2014.
520 $a Methane is the second most influential anthropogenic greenhouse gas. There are large uncertainties in the magnitudes and trends of methane emissions from different source types and source regions. Satellite observations of methane offer dense spatial coverage unachievable by suborbital observations. This thesis evaluates the capabilities of using satellite observations of atmospheric methane to provide high-resolution constraints on continental scale methane emissions. In doing so, I seek to evaluate the supporting role of suborbital observations, to inform the emission inventories on which policy decisions are based, and to enable inverse modeling of the next generation of satellite observations. Errors were characterized in the standard TES methane data product using observations from the HIPPO aircraft campaign. An observation system simulation experiment (OSSE) using synthetic TES-like observations showed that TES can constrain emissions on global to continental scales. An experimental TES methane data product containing two pieces of information in the vertical has smaller errors than the standard product, and is therefore of promising value for constraining methane emissions. Methane emissions in the United States (US) are quantified during summer 2004 using observations from SCIAMACHY, which has dense spatial coverage and sensitivity throughout the troposphere. Aircraft data from the INTEX-A campaign serve to characterize errors in the SCIAMACHY data and to evaluate inversion results. An inversion at ~100x100 km2 horizontal resolution provides the optimal estimate of US emissions. Optimized emissions are larger than estimated by the US Environmental Protection Agency (EPA), particularly from livestock sources. Methane emissions from California are quantified using a dense set of aircraft observations from the CalNex campaign (May-June 2010) are found to be nearly a factor of two higher than estimated by the California Air Resources Board. Satellite observations from TES constrain free troposheric background methane while GOSAT observations identify the spatial pattern of error observed by CalNex but are too sparse to quantify statewide emissions. OSSEs show that the future TROPOMI satellite instrument may constrain California emissions at a detail comparable to the CalNex observations. Geostationary observations offer even greater for constraining future emissions.
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