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| Titel |
Contribution of the GOSAT observations to understanding natural and anthropogenic fluxes of carbon dioxide and methane in 2009-2012 |
| VerfasserIn |
Shamil Maksyutov, Hiroshi Takagi, Heon-Sook Kim, Rajesh Janardanan, Kazuo Mabuchi, Akihiko Ito, Makoto Saito, Tomohiro Oda, Dmitry Belikov, Vinu Valsala, Alexander Ganshin, Ruslan Zhuravlev, Johannes W. Kaiser, Masako Senda, Isamu Morino, Yukio Yoshida, Tatsuya Yokota |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250108416
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| Publikation (Nr.) |
 EGU/EGU2015-8167.pdf |
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| Zusammenfassung |
| Greenhouse Gases Observing Satellite (GOSAT) Level 4 products – monthly regional surface
CO2 and CH4 flux estimates by inverse modeling from GOSAT column-averaged dry-air
mole fractions and ground-based observational data by Globalview and WDCGG - have been
updated recently to cover the 3-year period starting in June 2009. Update was made using
NIES GOSAT SWIR Level 2 product v. 02.11 for CO2 and v. 2.21 for CH4. The temporal
product extension was made using recent version of EDGAR methane emission inventory
dataset and extension of GFED v3.1 fire emissions dataset. The extended product provides
better look at the interannual flux variability including events of CO2 and CH4
emissions from a large-scale climate anomalies and forest fires in Russia and Amazonia
in 2010. CO2 fluxes for North Eurasia estimated using GOSAT data show better
correlation with NDVI anomalies than those estimated with ground-based observations
only.
GOSAT column-averaged CO2 dry-air mole fractions (X_CO2) observations in 2009-2012
were analysed for presence of large point source signatures by estimating X_CO2
abundance at each observation location relative to a background air. The analysis was
applied to selected observations where high resolution transport model simulated
significant (above 0.1 ppm) enhancement in fossil X_CO2. 0.1°resolution surface
CO2 fluxes were prepared to match resolution of the flux footprints simulated with
FLEXPART transport model and the size of GOSAT field of view. Background
X_CO2 was estimated by averaging for each month and each 10x10 degree grid box
all GOSAT-observed data where simulated fossil X_CO2 was less than 0.1 ppm.
Close to linear relationship was found between observed and simulated X_CO2
enhancement once observations are binned according to concentration enhancement levels
simulated by high resolution transport model. Good correlation between modeled and
observed enhancements was obtained for the global domain and large continental
regions. Statistically significant enhancements were observed for several megacity
areas. |
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