IAGA
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FAGS

 Dst INDICES

Dst indices are calculated by WDC-C2 for Geomagnetism (Dst, Ae; Kyoto, Japan)

The Dst index are derived using the data from the four magnetic observatories :

 Observatory Acronym Dipole Lat. Dipole Long. Honolulu HON 21.0  N 266.4 San Juan SJG 29.9  N 3.2 Hermanus HER 33.3  S 80.3 Kakioka KAK 26.0  N 206.0

These observatories were chosen on the basis of the quality of observation and for the reason that their locations are sufficiently distant from the auroral and equatorial electrojets and that they are distributed in longitude as evenly as possible.

The baseline

The baseline for H is defined for each observatory in a manner that takes into account the secular variation. For each observatory, the annual mean values of H, calculated from the "five quietest day" for each month, form the data base for the baseline.

It should be remembered that the final Dst values are determined after each calendar year and that therefore in this determination the annual mean values are available only up to and including the year (referred to below as the current year) for which the Dst is to be deduced.

The baseline is expressed by a power series in time and the coefficients for terms up to the quadratic are determined by the method of least squares, using the annual means for the current year and the four preceding years. Thus, the baseline, Hbase is expressed as

Hbase(t) = A + Bt+ Ct2 (1)

where t is time years measured from a reference epoch.

It is noted here that if the polynomial expansion of the annual means is made in a straighforward manner as described above, an artificial discontinuity, although seldom large enough to be recognized by a casual inspection, can be introduced between the baseline value for the last hour of one year and that for the first hour of the following year, because these two baseline values are calculated from two different polynomials. To minimize such a discontinuity the polynomial determination is actually made in two steps.

From the polynomial expansion determined in the first step, the baseline value at the end of current year is calculated. In the second step, this value is included as an additional data point in the polynomial fitting. This procedure has been found to be satisfactory.

The baseline value Hbase(T) calculated from (1) for each UT hour of the current year is subtracted from the observed H value, Hobs(T) :

DH(T) = Hobs(T) Hbase(T) (2)

The deviations, DH(T), form the data base in the following derivation for each of the observatories.

The Sq elimination

The solar quiet daily variation, Sq, is derived for each observatory as follows. The average Sq variation for each month is determined from the values of H(T) for the internationally selected five quietest days of the month.

These quietest days are determined in UT. In order to define an average Sq variation for the local day of each observatory, we form the averages for the local hours using five quietest days. Also, using hourly values immediately before and immediately after the local days selected, we evaluate the linear change and subtract it from the Sq variation. In this manner we remove from Sq the noncyclic change, which is part of Dst variation, and also evaluate Sq from the midnight level.

The 12 sets of the monthly average Sq so determined for the year are expanded in a double Fourier series with local time, t, and month number, s, as two variables:

This representation allows us to calculate Sq(T) at any UT hour, T, of the year. This procedure is applied to each observatory.

The Hourly Equatorial Dst Index.

For each observatory the disturbance variation, D(T), is defined by :

D(T) = DH(T) Sq(T) (4)

Then D(T) is averaged over the four observatories and normalized to the dipole equator
by :

Dst(T) = D(T) / cos f (5)

where the denominator is the average of the cosines of the dipole latitudes, fi (i=1,4), of the observatories contributing to the average. This normalization procedure has been found to minimize undesired effects from missing hourly values.

Monthly tables of hourly Dst-values is available since 1957.

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