Physics – Geophysics
Scientific paper
Dec 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002georl..29x...7s&link_type=abstract
Geophysical Research Letters, Volume 29, Issue 24, pp. 7-1, CiteID 2154, DOI 10.1029/2002GL015910
Physics
Geophysics
14
Atmospheric Composition And Structure: Aerosols And Particles (0345, 4801), Atmospheric Composition And Structure: Transmission And Scattering Of Radiation, Exploration Geophysics: Remote Sensing
Scientific paper
This study investigates how the loading and composition of atmospheric dust affect IR radiances observed by satellite narrowband and high-resolution sensors. To compute monochromatic radiances accounting for multiple scattering and absorption by aerosols and atmospheric gases, we employed a new radiative transfer code which combines the line-by-line algorithm and discrete ordinate technique. New dust optical models required for such computations were developed for the representative mineral mixtures. We demonstrate that dust decreases the brightness temperature observed by satellite sensors depending mainly on the dust burden and composition, though the sensitivity to the composition differs between the satellite sensors. We found that mineral dust has a unique radiative signature (termed here a ``negative slope'') which separates the effect of dust from that of clouds and gases. We conclude that dust must be accounted for in atmospheric correction algorithms if the retrievals of the sea surface temperature and atmospheric gaseous species from the thermal IR radiances are to be of high accuracy.
No associations
LandOfFree
The spectral radiative signature of wind-blown mineral dust: Implications for remote sensing in the thermal IR region does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The spectral radiative signature of wind-blown mineral dust: Implications for remote sensing in the thermal IR region, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The spectral radiative signature of wind-blown mineral dust: Implications for remote sensing in the thermal IR region will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-964843