Optimized compensation for atmospheric distortion in video

2010 ◽  
Author(s):  
Abhishek A. Botadra ◽  
David H. Frakes
Keyword(s):  
Atmospheric Distortion

Exoplanet Ephemeris Maintenance using Ground- and Space-based Telescopes

2020 ◽  
Author(s):  
Hamish Caines ◽  
Marco Rocchetto ◽  
Giorgio Savini
Keyword(s):  
Diurnal Cycle ◽  
Orbital Period ◽  
Precise Knowledge ◽  
Robotic Telescopes ◽  
Time Required ◽  
Atmospheric Distortion ◽  
Do So

<p>Ariel will require precise knowledge of the transit timings for all of its targets. However, the precision we have for each target will degrade significantly over the 8 years until launch, in some cases to the point where the error exceeds the duration of the transit itself. The knowledge of these transits would then be deemed “lost”. To counteract this, and in effect “reset the clock”, we aim to use the Telescope Live network of robotic telescopes to observe such targets. With 1000 targets and an average orbital period of the order of days, the size and usage of the network required needs to be quantified. Here we present results from simulations of these observations for a variety of telescope networks of varying sizes, the number of targets that can be successfully constrained, and the amount of observing time required to do so. From these results we can conclude that a ground-based telescope network containing as few as 2 telescopes of 0.6m aperture can constrain over 60% of the targets with transit depths observable from the ground. A fraction of these exoplanets are difficult to observe with ground-based telescopes as they either have transit depths too shallow to detect due to atmospheric distortion and/or their transit durations are comparable to the length of a night, reducing the probability of observable transits occurring. Such targets would benefit from supplementary observations from space-based observatories, as these do not suffer from either atmospheric distortion or limits on observing time due to Earth’s diurnal cycle.</p>

Considerations For Computing Realistic Atmospheric Distortion Parameter Profiles

1989 ◽  
Author(s):  
Brian K. Matice ◽  
Patti S. Gillespie ◽  
Sean G. O'Brien ◽  
William D. Hayden ◽  
Beth A. Schulze ◽  
...  
Keyword(s):  
Distortion Parameter ◽  
Atmospheric Distortion

Albedo observations of the Earth’s surface for climate research

1983 ◽  
Vol 309 (1508) ◽  
pp. 285-294 ◽  
Keyword(s):  
General Circulation ◽  
Surface Albedo ◽  
Climate Models ◽  
General Circulation Models ◽  
Data Set ◽  
Primary Input ◽  
Climate Research ◽  
Earth’S Climate ◽  
Atmospheric Distortion ◽  
Spectrally Resolved

The primary input of energy to the Earth’s climate system occurs at the surface and can be highly sensitive to the surface albedo. Albedo changes have been proposed as one cause of climatic variation, but results from climate models are not yet consistent. It is very difficult to establish an agreed global data set with which to initiate comparative climatic simulations. Albedo observations must be spectrally resolved because reflexion of solar radiation is a strong function of wavelength and incident and reflected beams are modified by the atmosphere. Parametrization of system albedos in energybalance models draws on satellite data. The use of satellite observations is less easy in general circulation climate models. The removal of atmospheric distortion is particularly difficult. The establishment of a surface albedo data set generally follows one of two approaches: geographical categorization or remote monitoring. Surface albedo specification in current general circulation models is diverse. This paper reviews the ways in which remotely derived albedo measurements are used now and may, in the future, be improved for climate research.

Atmospheric Distortion of Short Laser Pulses

1969 ◽  
Vol 8 (11) ◽  
pp. 2233 ◽  
Author(s):  
J. R. Kerr ◽  
P. J. Titterton ◽  
C. M. Brown
Keyword(s):  
Laser Pulses ◽  
Short Laser Pulses ◽  
Atmospheric Distortion
Sign in / Sign up

Export Citation Format

Share Document