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| Titel |
Sensitivity of optimized high-resolution North American CH4 emissions to regional CH4 boundary conditions |
| VerfasserIn |
Ilya Stanevich, Kimberly Strong, Dylan Jones, John Lin, Kevin Wecht, Arlyn Andrews, Doug Worthy, Paul Wennberg, Debra Wunch, Coleen Roehl |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250130891
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| Publikation (Nr.) |
 EGU/EGU2016-11217.pdf |
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| Zusammenfassung |
| Constraining CH4 emissions at subcontinental scales is of great value, especially for
quantifying local anthropogenic emissions. However, high-resolution emission estimates are
more uncertain, particularly due to their relatively weak signature in the atmosphere and the
uncertainty of the CH4 measurements used to infer the emissions. In this work, we investigate
the robustness of high-resolution North American emission estimates. We perform
regional inversion analyses over North America using the Stochastic Time-Inverted
Lagrangian Transport (STILT) model, with initial and boundary conditions imposed
from the GEOS-Chem global chemical transport model, constrained by NOAA
and Environment Canada CH4 flask measurements and CH4 columns measured
using Fourier transform spectrometers at the University of Toronto Atmospheric
Observatory and at the Total Carbon Column Observing Network (TCCON) Lamont
station. We also perform STILT and GEOS-Chem inversions with pseudo in situ- and
satellite-like measurements, respectively, to assess the seasonal sensitivity of optimized
emissions to uncorrected biases in CH4 boundary conditions. We show that, depending
on the season, the sensitivity of the emissions to the biases varies by up to 40%. |
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