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| Titel |
Satellite observations of large power plants and megacities from GOSAT |
| VerfasserIn |
Tom Oda, Shamil Maksyutov, Hartmut Boesch, André Butz, Alexander Ganshin, Sandrine Guerlet, Robert Parker, Chris O'Dell, Sergey Oshchepkov, Yukio Yoshida, Ruslan Zhuravlev, Tatsuya Yokota |
| Konferenz |
EGU General Assembly 2013
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250083403
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| Zusammenfassung |
| Fossil fuel CO2 emissions are a major source of CO2 to the global carbon cycle over decadal
time scales and international efforts to curb those missions are required for mitigating climate
change. Although emissions from nations are estimated and reported to help monitor their
compliance of emission reductions, we still lack an objective method to monitor emissions
directly. Future carbon-observing space missions are thus expected to provide an independent
tool for directly measuring emissions. We proposed and have implemented satellite
observations specifically over intense large point sources (LPS), including large fossil-fueled
power plants and megacities, worldwide (N > 300) using the Japanese Greenhouse
Gases Observing SATelllite (GOSAT). Our target LPS sites have been occasionally
included in the observation schedule of GOSAT and the measurements are made
using the target observation mode. This proposal was officially accepted by the
GOSAT project office and we have attempted to use these data to detect signatures of
man-made greenhouse gas emissions. We have submitted our locations of interest on a
monthly basis two month prior to observation. We calculated the X_CO2 concentration
enhancement due to the LPS emissions. We analyzed GOSAT X_CO2 retrievals from four
research groups (five products total): the National Institute for Environmental Studies
(NIES) (both the NIES standard Level 2 and NIES-PPDF products), the NASA
Atmospheric CO2 from Space (ACOS) team (ACOS Level 2 product), the Netherlands
Institute for Space Research (SRON)/Karlsruhe Institute of Technology, Germany
(RemoTeC), and the University of Leicester, UK (Full-Physics CO2 retrieval dataset).
Although we obtained fewer retrieved soundings relative to what we requested
(probably due to geophysical difficulties in the retrievals), we did obtain statistically
significant enhancements at some LPS sites where weather condition were ideal for
viewing. We also implemented simulations of enhanced X_CO2 using a global
Eulerian-Lagrangian coupled atmospheric transport model (GELCA) and a high-resolution
fossil fuel emissions dataset (Odiac). Odiac includes emissions information on
the power plants requested in our target observations. Our model simulations tend
to underestimate the enhancements, but showed good correlation with observed
enhancements. |
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