TY - JOUR
T1 - Quantifying the relationship between the measurement precision and specifications of a UV/visible sensor on a geostationary satellite
AU - Irie, Hitoshi
AU - Iwabuchi, Hironobu
AU - Noguchi, Katsuyuki
AU - Kasai, Yasuko
AU - Kita, Kazuyuki
AU - Akimoto, Hajime
N1 - Funding Information:
The GMAP-Asia plan is supported by the Japan Society of Atmospheric Chemistry (JSAC). We are grateful to S. Hayashida, R. Imasu, Y. Kanaya, S. Kawakami, M. Koike, Y. Kondo, T. Nakazawa, H. Tanimoto, and Y. Yamamoto for helpful discussions. We thank M. Takigawa for providing data from the WRF/Chem model. This work was supported by the Global Environment Research Fund (S-7) of the Ministry of the Environment, Japan.
PY - 2012/6/15
Y1 - 2012/6/15
N2 - To investigate the feasibility of new satellite observations, including air quality (AQ) observations from geostationary (GEO) orbit, it is essential to link the measurement precision () with sensor specifications in advance. The present study attempts to formulate the linkage between and specifications of a UV/visible sensor (signal-to-noise ratio (SNR), full width at half maximum (FWHM) of the slit function, and sampling ratio (SR)) on a GEO satellite. A sophisticated radiative transfer model (JACOSPAR) is used to calculate synthetic radiance spectra that would be measured by a UV/visible sensor observing the atmosphere over Tokyo (35.7°N, 139.7°E) from GEO orbit at 120°E longitude. The spectra, modified according to given sensor specifications, are analyzed by the differential optical absorption spectroscopy technique to estimate the for slant column densities of O 3 and NO 2 . We find clear relationships: for example, the of the O 3 slant column density (molecules cm -2 ) and SNR at 330 nm are linked by the equation log() = -1.06 · log(SNR) + 20.71 in the UV region, and the of the NO 2 slant column density and SNR at 450 nm are linked by log() = -0.98 · log(SNR) + 18.00, at a FWHM = 0.6 nm (for the Gaussian slit function) and SR = 4. The relationships are mostly independent of other specifications (e.g.; horizontal and temporal resolutions), as they affect primarily through SNR, providing constraints in determining the optimal SNR (and alternatively FWHM and SR) for similar UV/visible sensors dedicated for AQ studies.
AB - To investigate the feasibility of new satellite observations, including air quality (AQ) observations from geostationary (GEO) orbit, it is essential to link the measurement precision () with sensor specifications in advance. The present study attempts to formulate the linkage between and specifications of a UV/visible sensor (signal-to-noise ratio (SNR), full width at half maximum (FWHM) of the slit function, and sampling ratio (SR)) on a GEO satellite. A sophisticated radiative transfer model (JACOSPAR) is used to calculate synthetic radiance spectra that would be measured by a UV/visible sensor observing the atmosphere over Tokyo (35.7°N, 139.7°E) from GEO orbit at 120°E longitude. The spectra, modified according to given sensor specifications, are analyzed by the differential optical absorption spectroscopy technique to estimate the for slant column densities of O 3 and NO 2 . We find clear relationships: for example, the of the O 3 slant column density (molecules cm -2 ) and SNR at 330 nm are linked by the equation log() = -1.06 · log(SNR) + 20.71 in the UV region, and the of the NO 2 slant column density and SNR at 450 nm are linked by log() = -0.98 · log(SNR) + 18.00, at a FWHM = 0.6 nm (for the Gaussian slit function) and SR = 4. The relationships are mostly independent of other specifications (e.g.; horizontal and temporal resolutions), as they affect primarily through SNR, providing constraints in determining the optimal SNR (and alternatively FWHM and SR) for similar UV/visible sensors dedicated for AQ studies.
KW - Air quality
KW - Feasibility study
KW - Geostationary satellite
KW - Ozone
KW - UV/visible
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U2 - 10.1016/j.asr.2012.03.012
DO - 10.1016/j.asr.2012.03.012
M3 - Article
AN - SCOPUS:84861092737
SN - 0273-1177
VL - 49
SP - 1743
EP - 1749
JO - Life sciences and space research
JF - Life sciences and space research
IS - 12
ER -