2011
DOI: 10.1127/0941-2948/2011/0253
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Effects of annular solar eclipse of 15 January 2010 on meteorological parameters in the 0 to 65 km region over Thumba, India

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Cited by 13 publications
(14 citation statements)
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“…[2,57]). By contrast, Eaton et al [8] did not observe changes in wind components that exceeded natural variability, although a reduction in the variance of the wind speed was observed.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…[2,57]). By contrast, Eaton et al [8] did not observe changes in wind components that exceeded natural variability, although a reduction in the variance of the wind speed was observed.…”
Section: Introductionmentioning
confidence: 99%
“…A reduction in surface wind speed during eclipse events has commonly been reported and related to the characteristic stabilization of the near-surface boundary layer that occurs after sunset (e.g. [ 2 , 5 7 ]). By contrast, Eaton et al [ 8 ] did not observe changes in wind components that exceeded natural variability, although a reduction in the variance of the wind speed was observed.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…An absence of large and rapid fluctuations, however, is nonetheless desirable for estimates based on single reference days to be meaningful. While solar radiation at the earth's surface is subject to some variability due to short-term variations in aerosol optical depth 46 , the impact of an eclipse is quantitatively much larger and can therefore be estimated fairly accurately (as long as clouds do not complicate the picture) 28,40,[47][48][49] .…”
Section: Introductionmentioning
confidence: 99%
“…Biltoft [35] reported that frictional velocity and cannot be properly defined if momentum flux is positive, even though these equations will produce what appears to be a mathematically correct result. As a convention, during the incidence of positive momentum flux, the * values are reported as negative values [36]. Mathematically positive momentum flux has to generate a negative Reynolds stress term and hence negative * and values.…”
Section: Data Validation Through Symmetries and Distributions In Mesomentioning
confidence: 99%