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| Titel |
A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions |
| VerfasserIn |
J. Ray, V. Yadav, A. M. Michalak, B. van Bloemen Waanders, S. A. McKenna |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 7, no. 5 ; Nr. 7, no. 5 (2014-09-03), S.1901-1918 |
| Datensatznummer |
250115711
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| Publikation (Nr.) |
 copernicus.org/gmd-7-1901-2014.pdf |
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| Zusammenfassung |
| The characterization of fossil-fuel CO2 (ffCO2)
emissions is paramount to carbon cycle studies, but the use of
atmospheric inverse modeling approaches for this purpose has been
limited by the highly heterogeneous and non-Gaussian spatiotemporal
variability of emissions. Here we explore the feasibility of
capturing this variability using a low-dimensional parameterization
that can be implemented within the context of atmospheric
CO2 inverse problems aimed at constraining regional-scale
emissions. We construct a multiresolution (i.e., wavelet-based)
spatial parameterization for ffCO2 emissions using the
Vulcan inventory, and examine whether such a~parameterization can
capture a realistic representation of the expected spatial
variability of actual emissions. We then explore whether
sub-selecting wavelets using two easily available proxies of human
activity (images of lights at night and maps of built-up areas)
yields a low-dimensional alternative. We finally implement this
low-dimensional parameterization within an idealized inversion, where a sparse
reconstruction algorithm, an extension of stagewise orthogonal
matching pursuit (StOMP), is used to identify the wavelet
coefficients. We find that (i) the spatial variability of fossil-fuel emission can indeed be represented using a low-dimensional
wavelet-based parameterization, (ii) that images of lights at night
can be used as a proxy for sub-selecting wavelets for such analysis,
and (iii) that implementing this parameterization within the
described inversion framework makes it possible to quantify fossil-fuel emissions at regional scales if fossil-fuel-only CO2
observations are available. |
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