Physics
Scientific paper
Feb 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000jgr...105.4087t&link_type=abstract
Journal of Geophysical Research, Volume 105, Issue E2, p. 4087-4108
Physics
27
Atmospheric Composition And Structure: Planetary Atmospheres, Planetology: Solid Surface Planets: Atmospheres-Composition And Chemistry, Planetology: Solid Surface Planets: Meteorology, Planetology: Solid Surface Planets: Remote Sensing
Scientific paper
We have spatially and temporally mapped water ice clouds on Mars for 1.25 Martian years using the Viking infrared thermal mapper (IRTM) data. Our technique compares brightness temperatures in the 11 and 20 μm IRTM channels, utilizing the 11 μm water ice absorption feature. A complication arises because of the surface nonunit and wavelength-dependent emissivities. We developed a technique for removal of this effect. Using a surface thermal model, we calculated brightness temperatures and their differences for the IRTM channels resulting from the surface emissivity effect alone. These were then subtracted from the measured brightness temperatures, yielding brightness temperature differences dominated by atmospheric effects. The ability to identify water ice clouds in the infrared provides potential new information about particle size and physical processes by comparing these clouds to those seen in visible wavelengths. We found that water ice clouds were more widespread and frequent during the Viking period than had been previously recognized, with the northern spring and summer being the cloudiest periods on Mars. We interpret some of the identified cloudy zones as the southern and northern solstice season upwelling branches of the Hadley cell, although these were shifted 15°-20° southward from model predictions. Additionally, the transition between the two branches occurred later in time than in the model predictions. We observed the extension of the north polar hood below 60°N in longitudes 120°-200°. We did not find evidence for a south polar hood north of 60°S nor any evidence for interannual variability within our limited data set.
Paige David A.
Tamppari Leslie K.
Zurek Richard W.
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