Can Wavelet Analysis Provide an Automated Technique to Create the Dst Index?

Details Can Wavelet Analysis Provide an Automated Technique to Create the Dst Index? Can Wavelet Analysis Provide an Automated Technique to Create the Dst Index?

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsm13a0313j&link_type=abstract

American Geophysical Union, Fall Meeting 2005, abstract #SM13A-0313

Physics

2778 Ring Current, 2788 Magnetic Storms And Substorms (7954), 3270 Time Series Analysis (1872, 4277, 4475), 3280 Wavelet Transform (3255, 4455)

Scientific paper

The primary geomagnetic storm indicator is the Dst index. This index has a well established ``recipe" by which ground-based magnetometer observations are processed to produce this single planetary index. Typically four ground stations are used in this process. Assuming the calibration, data gaps, and measurement uncertainties are known, the major step in creating the Dst is the subtraction of the daily Sq variation. This variation is associated with ionospheric current systems resulting from upper atmospheric winds that drive electric currents in the E region plasma. The Sq is primarily a daytime phenomena and it exhibits significant day-to-day variability. Determining a quiet day Sq variation, which has seasonal dependence as well as shorter term ones, is the ``art" in this analysis procedure. Schemes for selecting this can be as quantitative as averaging the three quietest days in the month, i.e., a new Sq variation is inferred each month. The question addressed by this study is whether it is feasible for an automated technique to remove the Sq without operator intervention? Our study is based on wavelet analysis, specifically the {mathematical specifications}. An algorithm was developed for four ground stations for two months of measurements, (March and April 2001). Note a number of procedural differences exist between this wavelet technique and the normal method of calculating the Dst. The automated technique does not require selecting specific days that are defined to be quiet days. The results of applying the procedure to a year of data and then comparing these with the Kyoto Dst are presented. Additional comparisons with the Kyoto Dst are presented in which the automated analysis uses only three of the four magnetometer data sets.

Affiliated with

Also associated with

No associations

Rating

Can Wavelet Analysis Provide an Automated Technique to Create the Dst Index? 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 Can Wavelet Analysis Provide an Automated Technique to Create the Dst Index?, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Can Wavelet Analysis Provide an Automated Technique to Create the Dst Index? will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-760054