2015
DOI: 10.1016/j.icarus.2014.08.043
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An analytic function of lunar surface temperature for exospheric modeling

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Cited by 48 publications
(43 citation statements)
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“…We found that our “simulation‐fit” model of two Chamberlain distributions with different temperatures successfully predicts the density at the surface to within 12% everywhere. This compares with overestimates as high as 337% and 416% for the single Chamberlain distribution and its first‐order expansion, respectively, which both use single temperatures (from the Hurley et al, , model described in section 3.4). These deviations are most pronounced near the terminators.…”
Section: Datamentioning
confidence: 85%
“…We found that our “simulation‐fit” model of two Chamberlain distributions with different temperatures successfully predicts the density at the surface to within 12% everywhere. This compares with overestimates as high as 337% and 416% for the single Chamberlain distribution and its first‐order expansion, respectively, which both use single temperatures (from the Hurley et al, , model described in section 3.4). These deviations are most pronounced near the terminators.…”
Section: Datamentioning
confidence: 85%
“…For these simulations, the Moon was a perfect sphere with uniform gravity, uniform distribution of regolith and without axial tilt. The surface temperature was calculated using smoothed (at boundaries between dayside and nightside) analytical expressions (Hurley et al, 2015). Finally, we have not considered any shielding effects nor plasma sheet interactions of the Earth's magnetotail (Wilson et al, 2006).…”
Section: 1029/2018gl080008mentioning
confidence: 99%
“…Other minor contributions to the discrepancy between our t res and Hodges' include the different temperature map: we used Diviner's global temperature, while Hodges (and other workers) used an analytical formula. The use of an analytical formula mainly affects the terminators, owing to orographic effects (Hurley et al, 2015). In Fig.…”
Section: The Residence Timementioning
confidence: 99%