Computer Science – Performance
Scientific paper
Nov 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011adspr..48.1551n&link_type=abstract
Advances in Space Research, Volume 48, Issue 9, p. 1551-1564.
Computer Science
Performance
Scientific paper
We have conducted a feasibility study for the geostationary monitoring of the diurnal variation of tropospheric NO 2 over Tokyo. Using NO 2 fields from a chemical transport model, synthetic spectra were created by a radiative transfer model, SCIATRAN, for summer and winter cases. We then performed a Differential Optical Absorption Spectroscopy (DOAS) analysis to retrieve NO 2 slant column densities (SCDs), and after converting SCDs into vertical column densities (VCDs), we estimated the precision of the retrieved VCDs. The simulation showed that signal-to-noise ratio (SNR) ⩾ 500 is needed to detect the diurnal variation and that SNR ⩾ 1000 is needed to observe the local minimum occurring in the early afternoon (LT13-14) in summer. In winter, the detection of the diurnal variation during LT08-15 needs SNR ⩾ 500, and SNR ⩾ 1000 is needed if early morning (LT07) and early evening (LT16) are included. The currently discussed sensor specification for the Japanese geostationary satellite project, GMAP-Asia, which has a horizontal resolution of 10 km and a temporal resolution of 1hr, has demonstrated the performance of a precision of several percent, which is approximately corresponding to SNR = 1000-2000 during daytime and SNR ⩾ 500 in the morning and evening. We also discuss possible biases caused by the temperature dependence of the absorption cross section utilized in the DOAS retrieval, and the effect of uncertainties of surface albedo and clouds on the estimation of precisions.
Bovensmann Heinrich
Burrows John P.
Hayashida Sachiko
Hilboll Andreas
Irie Hitoshi
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