Solar F10.7 radiation - A short term model for Space Station applications

Statistics – Applications

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Atmospheric Density, Geomagnetism, Solar Cycles, Solar Radiation, Space Station Freedom, Space Stations, Statistical Analysis, Autocorrelation, Ultraviolet Radiation, Weibull Density Functions

Scientific paper

A new method is described for statistically modeling the F10.7 component of solar radiation for 91-day intervals. The resulting model represents this component of the solar flux as a quasi-exponentially correlated, Weibull distributed random variable, and thereby demonstrates excellent agreement with observed F10.7 data. Values of the F10.7 flux are widely used in models of the earth's upper atmosphere because of its high correlation with density fluctuations due to solar heating effects. Because of the direct relation between atmospheric density and drag, a realistic model of the short term fluctuation of the F10.7 flux is important for the design and operation of Space Station Freedom. The method of modeling this flux described in this report should therefore be useful for a variety of Space Station applications.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Solar F10.7 radiation - A short term model for Space Station applications 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 Solar F10.7 radiation - A short term model for Space Station applications, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Solar F10.7 radiation - A short term model for Space Station applications will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1894680

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.