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| Titel |
Simulated retrievals for the remote sensing of CO2, CH4, CO, and H2O from geostationary orbit |
| VerfasserIn |
X. Xi, V. Natraj, R. L. Shia, M. Luo, Q. Zhang, S. Newman, S. P. Sander, Y. L. Yung |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 11 ; Nr. 8, no. 11 (2015-11-18), S.4817-4830 |
| Datensatznummer |
250116686
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| Publikation (Nr.) |
 copernicus.org/amt-8-4817-2015.pdf |
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| Zusammenfassung |
The Geostationary Fourier Transform Spectrometer (GeoFTS) is designed to
measure high-resolution spectra of reflected sunlight in three near-infrared
bands centered around 0.76, 1.6, and 2.3 μm and to deliver simultaneous
retrievals of column-averaged dry air mole fractions of CO2, CH4,
CO, and H2O (denoted XCO2, XCH4, XCO, and XH2O,
respectively) at different times of day over North America. In this study,
we perform radiative transfer simulations over both clear-sky and all-sky
scenes expected to be observed by GeoFTS and estimate the prospective
performance of retrievals based on results from Bayesian error analysis and
characterization.
We find that, for simulated clear-sky retrievals, the average retrieval
biases and single-measurement precisions are < 0.2 % for
XCO2, XCH4, and XH2O, and < 2 % for XCO, when the a
priori values have a bias of 3 % and an uncertainty of 3 %. In addition,
an increase in the amount of aerosols and ice clouds leads to a notable
increase in the retrieval biases and slight worsening of the retrieval
precisions. Furthermore, retrieval precision is a strong function of
signal-to-noise ratio and spectral resolution. This simulation study can
help guide decisions on the design of the GeoFTS observing system, which can
result in cost-effective measurement strategies while achieving satisfactory
levels of retrieval precisions and biases. The simultaneous retrievals at
different times of day will be important for more accurate estimation of
carbon sources and sinks on fine spatiotemporal scales and for studies
related to the atmospheric component of the water cycle. |
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