home *** CD-ROM | disk | FTP | other *** search
-
- USERS MANUAL FOR THE KGRAPH SOFTWARE
- ------------------------------------
-
- Version 1.00 - Copyright 1992
- Solar Terrestrial Dispatch
-
-
- INTRODUCTION
-
- The daily Solar Geophysical Data Broadcast (SGDB) reports released by
- the Solar Terrestrial Dispatch contain a large amount of information
- regarding the state of solar and geophysical activity. In the past, the only
- software which permitted manipulation of this data was the BCAST software
- program. However, this software lacks the ability to chart and track the
- geomagnetic K-index information.
-
- The geomagnetic K-index rates geomagnetic activity on a scale between 0
- (very quiet) and 9 (very disturbed). The index is based on an open-ended
- semi-logarithmic algorithm and is measured once every three hours by magnetic
- observatories around the world. Generally, K-indices greater than 5 indicate
- major to severe geomagnetic storm conditions. K-indices of 4 or less
- indicate active to quiet conditions.
-
- The geomagnetic K-index is very important to persons such as radio
- communicators who rely on the geomagnetically-sensitive ionosphere to
- transmit and receive radio signals. Quiet levels of geomagnetic activity
- usually result in very good and stable radio communications. Active levels
- of geomagnetic activity can begin to introduce minor instabilities in radio
- communications such as rapid fading or flutter and increased directionality.
- Minor geomagnetic storming (K-indices of 5) and particularly major
- geomagnetic storming (K-indices of 6) can significantly impair the
- propagation of radio signals through the ionosphere. Severe geomagnetic
- storming (K-indices of 7 or more) can produce radio blackout conditions for
- many middle, high, and polar latitude regions. The level of geomagnetic
- activity is therefore a very important parameter which must be considered
- when used in conjunction with radio communications.
-
- K-indices are also very important to persons watching for auroral
- activity. Major to severe storm level excursions of the geomagnetic K-index
- is often associated with visible levels of auroral activity over the lower
- latitude regions.
-
- People who are interested in attempting to forecast the level of
- geomagnetic activity into the future will find detailed records of K-indices
- extremely valuable. Solar phenomena which can influence geomagnetic activity
- for several solar rotations (ex. such as stable coronal holes) can be
- identified through records of K-index geomagnetic activity. Knowing when
- enhanced geomagnetic activity has occurred in the past enables one to
- determine when it might occur in the future, since the Sun rotates
- approximately once every 27 days.
-
- KGRAPH is a powerful program designed to exploit the detailed K-index
- information which is stored in your BCAST database file ("datasets.dat"). It
- will examine and display K-index information in useful graphical detail using
- the power of your computers VGA graphics system.
-
- KGRAPH will produce three-dimensional graphs of geomagnetic activity in
- a variety of formats. It will graph either the geomagnetic Boulder K-Index
- (from Boulder, Colorado) or the estimated Planetary K-Index information which
- is stored in your database file. The three-dimensional graphs are very
- useful for analyzing episodes of activity relative to neighboring periods of
- activity. It is also visually impressive and easy to interpret.
-
- KGRAPH will also produce detailed high-density VGA-quality graphical
- plots of Boulder or Planetary K-Index data. These graphical plots of
- activity let you easily determine the cyclical behavior of geomagnetic
- activity. As much as eight solar rotations worth of K-index data can be
- viewed on-screen at one time. This is equivalent to 216 days worth of data,
- or 1,728 three-hour interval periods. The plots also indicate days in which
- major flare activity occurred, to help you determine which episodes of
- activity may have been flare-induced. In addition, the plotting method
- employed by KGRAPH lets you visually determine, quickly and easily, periods
- of activity which were associated with major or severe storming.
-
- All-in-all, KGRAPH is a powerful visual aid package intended to exploit
- the large amount of geomagnetic information which has been previously
- untapped by the BCAST software. It requires the BCAST-maintained database
- file "datasets.dat" to operate. Registration of the BCAST software program
- is therefore manditory for anyone who wants to use KGRAPH (see the file
- "REGISTER.DOC" for more information). For those who have already registered
- the BCAST software, KGRAPH can immediately be used to examine the large base
- of K-index information archived in your database file.
-
-
- SELECTING DATES OF DATA TO GRAPH
-
- Each of the graphical functions supported by KGRAPH first ask you to
- type in the date of the last dataset to display on-screen. By default, when
- you first start up KGRAPH, the date of the last dataset in your database file
- will be displayed. If this is the date you wish to use, simply press ENTER.
- If the default date is not what you want to use, type in the appropriate date
- (using the given format) and press ENTER. Thereafter, the default date
- becomes the last legal date you typed in.
-
-
- THREE-DIMENSIONAL GRAPHICS FUNCTIONS OF KGRAPH
-
- KGRAPH provides eight three-dimensional graphics functions to display
- K-index data in a variety of ways. These eight functions are described
- below:
-
- 1. KGRAPH can produce a three-dimensional graph of Boulder K-Indices
- U with dates descending from the bottom of the screen to the top
- B N of the screen. That is, the date of the data at the "front" of
- O S the three-dimensional graph would be the most recent date
- U O graphed.
- L R
- D T 2. KGRAPH will generate a three-dimensional graph of Boulder
- E E K-Indices with dates ascending from the bottom of the screen to
- R D the top of the screen. In this case, the date of the data at the
- front of the graph would be the oldest date on-screen. The most
- K recent date would be at the "back" of the graph, behind the rest.
- I
- N 3. KGRAPH will sort the Boulder K-Index data and graph the data in
- D three-dimensional format in ascending order. Sorting is done by
- E simply summing the eight three-hour K-index values for each day
- X S and sorting the summed values. The resulting graph displays the
- O quietest days at the front of the graph and the most disturbed
- D R days at the end of the graph.
- A T
- T E 4. KGRAPH will sort the Boulder K-indices and graph the data in
- A D descending order. In this case, the graph shows the quietest
- days at the end of the graph and the most disturbed days at the
- front of the graph.
-
-
- U 5. KGRAPH will generate three-dimensional graphs of the estimated
- P N planetary geomagnetic K-indices in order of descending dates.
- L S This graph is identical to #1 above, except the K-indices used
- A O are the estimated planetary data as opposed to the Boulder data.
- N R
- E T 6. KGRAPH will generate graphs of planetary K-indices in order of
- T E ascending dates. This graph functions the same as #2 above,
- A D except planetary data is used.
- R
- Y 7. KGRAPH will sort the estimated planetary (global) geomagnetic
- S K-indices in ascending order. Graphs of these sorted indices
- D O are identical to function #3 given above, except planetary
- A R K-indices are used.
- T T
- A E 8. KGRAPH will sort the estimated planetary K-indices in descending
- D order. These three-dimensional graphs are identical to the
- graphs produced by function #4, except planetary data is used.
-
-
- The purpose for producing three-dimensional graphs in order of ascending and
- descending dates is to provide a different view of the data. Since the
- graphed data is three-dimensional, producing graphs in descending or
- ascending order may aid in "unblocking" areas which were previously blocked
- from view. For example, a day which has high K-indices will will produce
- three-dimensional graph lines which may block out data behind the date with
- the high K values. By using these functions to view the data in a different
- order, you may be able to see what is behind the three dimensional "wall" of
- high K-indices.
-
- While viewing these three-dimensional graphs, you can instruct KGRAPH to
- redraw the data in a "slow mode". To accomplish this, press the "S" key to
- toggle between the fast and slow modes while viewing graphs of data. While
- in the slow mode, KGRAPH will redraw the screen one date at a time, pausing
- in-between dates and waiting for a keypress. Using this feature, you can
- carefully examine each date of data. To view the next date of data, press
- any key on your keyboard. KGRAPH will respond by drawing the next series of
- K-indices, pausing after the next group of eight has been drawn. After all
- of the indices have been drawn on-screen, you can switch back to the "fast
- mode" by pressing "S" again.
-
- To exit back to the main menu, press any key other than "S".
-
-
- PRODUCING HIGH-DENSITY K-INDEX DATA PLOTS USING KGRAPH
-
- The second and third-last options of the main menu engage powerful
- utilities for viewing large quantities of K-index data on-screen at one time.
- One option produces a high-density plot of Boulder K-Index data. The other
- main menu option generates a high-density plot of estimated Planetary
- (global) geomagnetic K-Index data. Both of these functions produce graphs
- with identical formats. The only difference is the data which is used.
- Boulder K-Index data is generally valid for middle latitude regions near
- Boulder Colorado. The Planetary K-indices represent estimated global levels
- of geomagnetic activity and may be more reliable characteristics of global
- activity.
-
- The high-density plots use the high-resolution of the VGA graphics
- system to produce visually pleasing graphs of contiguous activity for as many
- as eight consecutive solar rotations. As many as 1,728 data points may be
- plotted on-screen at one time for analysis.
-
- The structural format of these high-density graphical plots may be
- described as follows. Up to eight horizontal segments of the screen are used
- to graph the data. Each horizontal group of graphed K-indices represents one
- solar rotation (approximately 27 days). Unfortunately, only 26 days worth of
- data can be fit on one horizontal screen segment at a time. As a result,
- each horizontal segment contains 26 days worth of data. The 27th day is
- not plotted, but will become visible when screen-scrolling of the data occurs
- after eight solar rotations of data have been accumulated.
-
- Each horizontal segment of data is divided into 26 days and each of
- these days are labelled. The month of the first date encountered on each
- horizontal segment is displayed adjacent to the horizontal graph segment.
- Each horizontal graph segment is composed of a series of vertical lines which
- depict the K-indices being graphed. A sample ASCII representation of one day
- (eight vertical lines) of K-index data follows below:
-
-
- _o__o__o_
- F _o__|__|__|_
- E _o__|__|__|_*#*
- B _o__|__|__|__|_*#* /-<-- Next day of data starts
- _o__|__|__|__|_*#**#* / on this boundary
- o__|__|__|__|__|_*#**#*_\/_____________________
- | 1 4 | 1 5 |
-
-
- Each vertical line (with a "dot" on top) represents one K-index value.
- K-Indices are defined as follows:
-
-
- _o__o__o__o_*#*
- _o__|__|__|_*#**#*
- _o__|__|__|_*#**#**#*
- _o__|__|__|__|_*#**#**#*
- _o__|__|__|__|_*#**#**#**#*
- o__|__|__|__|__|_*#**#**#**#*
- /\ /\ /\ /\ /\ /\ /\ /\ /\ /\
- || || || || || || || || || ||
- || || || || || || || || || ||
- 0 1 2 3 4 5 6 7 8 9
- K - I N D I C E S
-
- This method of graphing K-indices has several notable advantages over
- straight linear graphing. First, the graph line is effectively compressed in
- vertical extent, allowing a larger number of horizontal segments to be fit
- on-screen at one time. Second, determination of the value of each K-index
- point is easily accomplished by counting the horizontal divisions. And
- finally, visual determination of major to severe storm periods is easily
- accomplished simply by examining which graph lines are "filled in" (see
- K-indices 6 through 9 in the graph above).
-
- KGRAPH significantly enhances the visibility of major storm periods by
- "filling in" these intervals with the color red. This easily distinguishes
- major storm periods from active or quiet periods when viewing the data
- on-screen.
-
- In addition, KGRAPH color-codes the dates of the data as follows:
-
-
- DATE COLOR: RED = One or more Major Flares occurred on this date.
- YELLOW = A Sudden Magnetic Impulse (SI) occurred on this date.
- MAGENTA = Both a Sudden Magnetic Impulse AND a Major Flare(s)
- occurred on this date.
- WHITE = No Major Flares or Sudden Magnetic Impulses occurred.
-
-
- This scheme for identifying days where major flares occurred is useful
- when attempting to determine which periods of geomagnetic activity may have
- been influenced by major flaring. This is particularly valuable when
- searching for recurrent geomagnetic patterns caused by stable coronal holes.
- By ignoring the periods of activity which may have been enhanced by major
- flaring, you can better identify the recurrent patterns attributed to coronal
- holes. When looking for flare-induced enhancements in geomagnetic activity,
- keep in mind that increases in geomagnetic activity typically do not occur
- until after approximately 24 to 48 hours (up to possibly 72 hours) from the
- onset of the major flare. It usually takes this long for the plasma cloud to
- traverse the distance from the Sun to the Earth. Also, not all major flares
- produce enhancements in geomagnetic activity. In fact, only a relatively
- small percentage are geoeffective. However, knowing which dates are
- associated with major flares helps to eliminate uncertainties when analyzing
- the recurrent patterns of geomagnetic activity.
-
- The identification of days when sudden magnetic impulses occur is very
- useful during the analysis of the high-density data plots. Since sudden
- magnetic impulses are produced by the arrival of interplanetary shockwaves
- (such as those which are spawned by major flares), it is possible to
- determine which episodes of activity were produced by the arrival of
- interplanetary shocks. Coronal holes are not usually associated with sudden
- magnetic impulses. The enhancements in geomagnetic activity produced by well
- placed solar coronal holes are most often gradual in nature.
-
-
- USING THE HIGH-DENSITY DATA PLOTS TO DETERMINE RECURRENCE AND OTHER PHENOMENA
-
- To use the high-density data plots properly, you must keep in mind that
- each horizontal row of data represents one solar rotation. Since eight rows
- may be stacked on top of one another, searching for recurrent patterns is as
- simple as scanning vertically down the rows of data. Periods of recurrent
- enhancements in geomagnetic activity will be discerned as consistent
- increases in K-indices over periods of between 2 or more solar rotations
- (which is displayed on-screen as two or more horizontal rows spaced
- vertically above and below each other).
-
- Since many coronal holes are constantly evolving and changing in
- structure, shape, and spatial extent, some deviations from the above may be
- observed. For example, if a coronal hole which enhances geomagnetic activity
- during one solar rotation expands in size or becomes elongated in an
- east-west direction, enhancements in geomagnetic activity may be observed a
- few days earlier or later than would be expected if the coronal hole remained
- in the same position and retained the same spatial characteristics. The
- amplitude of the recurrent enhancement may also differ quite considerably
- from one solar rotation to the next.
-
- As we continue to decline from the solar maximum toward the solar
- minimum, coronal hole stability and geoeffectiveness will increase which will
- make identification and prediction of recurrent periods easier using the
- high-density plot functions of KGRAPH.
-
- Recurrent phenomena is not limited to enhancements of geomagnetic
- activity. Indeed, recurrent quiet intervals are also frequently observed.
- In fact, these quiet intervals are often easier to discern than recurrent
- enhancements of activity due to coronal holes. The same method of
- identifying recurrent enhancements of activity applies to the identification
- of recurrent quiet periods. Simply scan the high-density graphs of K-index
- data vertically between the horizontal rows of data. Consistent and
- consecutive periods of low K-indices are typically associated with recurrent
- quiet intervals. These are often the best periods for radio communicators,
- since low levels of geomagnetic activity can support very stable and reliable
- ionospheric communications.
-
- Since active solar regions responsible for major flares also rotate with
- periods of approximately 26-28 days, it is possible to determine potential
- future influences of energetic active solar regions on the geomagnetic field.
- This is less reliable than determining recurrence for coronal holes since
- active regions are much more dynamic and change more rapidly than coronal
- holes. Although most solar regions fail to survive two solar rotations, and
- still fewer remain energetic enough to affect terrestrial geomagnetic
- activity over two rotations, the odd ones do and may be capable of producing
- recurrent enhancements in geomagnetic activity if they remain energetic for
- that length of time.
-
- Finally, these high-density graphs may also be used to help determine
- periods of enhanced auroral activity. Since auroral activity is tied closely
- to levels of geomagnetic activity, it is often possible to determine the
- potential visibility of future auroral activity simply by determining
- recurrent patterns of geomagnetic activity. K-indices of six or more are
- typically required before auroral activity becomes visible over widespread
- areas. K-indices of 7 or more may produce visible auroral activity over the
- lower latitude regions. To be most accurate in making predictions, it is
- important to remember the influence of lunar phase on visible levels of
- auroral activity. However, since the moon also has a period similar to the
- solar rotation period of 27 days, the phase of the moon should be
- approximately the same between vertical rows of the high density graphs.
- This serves to improve the usefulness of this data, even beyond what has
- already been discussed.
-
-
- FINAL NOTE REGARDING THE FORMAT OF THE HIGH-DENSITY GRAPHS
-
- When displaying the graphs of geomagnetic activity over many solar
- rotations, you will notice that the flow of dates from the left to the right
- is contiguous (provided you do not have any missing datasets in your
- database). You may also notice that the dates between the end of one
- horizontal graph segment and the beginning of the next horizontal graph
- segment are NOT contiguous. In short, you may notice that one day is skipped
- between the end of one graph line and the beginning of the next. This
- peculiarity is required in order to ensure that each horizontal graph of data
- is properly aligned to coincide with the solar rotation period of 27 days.
- One day is skipped because only 26 consecutive days may be graphed
- horizontally (approximately one day short of a full solar rotation). If no
- date skipping were performed to maintain alignment, each horizontal graph
- line would be skewed approximately one day to the right, which would
- seriously compromise the ability to determine recurrent periods simply by
- scanning vertically down the rows. Instead, one would have to scan diagnally
- down the rows in order to account for the skewed nature of the graphs. For
- this reason, one date is skipped between the end of one horizontal graph
- segment and the beginning of the next.
-
- The dates which are skipped will eventually scroll into view after your
- database contains at least eight solar rotations of data (or 216 days of
- data). Until this time, the skipped dates will not scroll into view.
-
- After you have accumulated 216 days worth of data in your database,
- KGRAPH will begin scrolling through your database, displaying eight full
- solar rotations of data each time the high-density graphing functions are
- selected.
-
- At the present time (mid February), eight solar rotations of SGDB
- reports have not been accumulated. The service of providing the daily SGDB
- reports containing the K-index information began on September 4, 1991. The
- accumulation of eight full solar rotations of data will not occur until after
- early April 1992. Until then, the daily SGDB reports will continue to be
- made available on either a monthly basis or a daily basis from the STD BBS
- (phone number: 403 756-3008), or from the assigned anonymous FTP sites (ex.
- xi.uleth.ca, solar.stanford.edu, nic.funet.fi, etc).
-
- To exit the high-density K-index graphs of geomagnetic activity, simply
- press any key.
-
-
- EXITING KGRAPH AND RETURNING TO DOS
-
- To return to DOS at the main menu of KGRAPH, either select the "Exit
- Program" function of KGRAPH, press the associated menu letter ('K'), or press
- the ESCape key.
-
-