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    A Study of the Effects of Sunrise and Sunset on the Ionosphere

    as Observed by VLF Wave Behavior

    By Leandra Merola

    South Side High School

    Rockville Centre, New York

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    Abstract

    The purpose of this study was to observe solar activity and sudden ionospheric

    disturbances (SIDs) by monitoring the strength of VLF (very low frequency) radio waves.

    Specifically I studied how sunrise and sunset affected VLF radio waves. To accomplish this it

    was necessary to accurately record ionospheric disturbances and relate them to solar activity.

    The sun releases electromagnetic radiation, which is absorbed by the atmosphere around the

    Earth. This radiation has the potential to disturb or ionize the thermosphere, the outer most layer

    of the atmosphere, and this then affects radio waves, including VLF waves, that are reflected by

    the ionosphere. To conduct my study, I built an antenna that captured very low frequency radio

    waves that are reflected by the ionosphere. The antenna was attached to a VLF radio reciever,

    obtained from the Solar Center at Stanford University in California. The specific VLF waves

    observed in this study are used to communicate with U.S. submarines. The data that I collected

    was recorded by a computer and converted into graphs that illustrate disturbances in the

    ionosphere. The results of this study showed that radiation from the sun disturbs VLF waves that

    are reflected by the ionosphere. I was then able to conclude that the ionosphere was also affected

    by solar radiation. I also found that sunrise and sunset drastically change the signal strength of

    VLF radio waves because of the dramatic variation in the ionizing of the ionosphere.

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    Introduction

    The purpose of this project was to investigate the effects of sun-induced ionospheric

    disturbances on Very Low Frequency (VLF) radio waves. The ionosphere reflects transmitted

    VLF radio waves back to Earth. The strength of these radio waves depends on how much or

    how little the ionosphere is ionized. Solar radiation contributes to ionization of the atmosphere,

    which can alter the strength of the transmitted VLF radio waves. This project explores how the

    ionosphere and VLF radio waves react to the solar radiation, especially in

    different geographic locations on Earth. The project also looks specifically at

    the impact of solar radiation on the ionosphere at local sunrise and sunset.

    The sun emits electromagnetic radiation that ranges from gamma rays to

    radio waves. This energy can be directly from the sun in the form of thermal

    energy or the energy can be in the form of solar flares. A solar flare is an

    explosion on the sun that happens when energy stored in twisted magnetic fields

    is suddenly released (http://www.spaceweather.com/, 2006). According to

    Davies (1990) solar flares emit radiation in various ranges of wavelengths from

    long radio waves to short X-rays and can last from a few minutes to several

    hours. This radiation, depending on the strength of the solar flare and the angle

    to the Earth, affects the Earths atmosphere.

    The ionosphere is located approximately 80 km and higher above the

    Earth and is the outer-most layer of the atmosphere (Fig 1,

    http://www.haarp.alaska.edu/haarp/ion1.html). The ionosphere is made up of

    many gases including nitrogen and oxygen. It is called the ionosphere

    Figure 1:

    Layers of

    the

    Ionosphere

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    because the small fraction of the solar energy at UV and smaller wavelengths is energetic enough

    to strip electrons off molecules in the air. When this ionizing radiation enters the atmosphere, it

    collides, primarily, with oxygen molecules. The shortest energy waves that come from the sun

    are partly absorbed by the oxygen molecules; it is these waves that ionize the particles

    (http://www.haarp.alaska.edu/haarp/ion1.html, 2006). The ionosphere is broken up into several

    layers, all of which are ionized at all times except for the D layer, the layer closest to the Earth

    (Fig 1), which disappears at night because the neutral density below about 200 km is high

    enough that electrons recombine with oxygen in a few hours or less (Khanal, 2004). Ionization

    in the E region decreases a little during the night, but the D layer does not reappear until the sun

    rises at that altitude again.

    VLF (very low frequency) radio waves are used primarily by the military to communicate

    with submarines, but they are also used as avalanche beacons and for wireless heart rate

    monitors. VLF waves have a frequency somewhere between 3 and 30 kHz and a wavelength

    between 100 and 10 km. These radio waves are used to communicate with submarines because

    at this frequency, they can penetrate water roughly 10 to 40 meters (Radio Waves, 2006). VLF

    waves are useful because not only do they travel along the ground but the ionosphere also

    reflects them. Because of this quality they are ideal for communicating around the world. They

    Figure 2: Radio Waves are Reflected by the Ionosphere

    (http://www.haarp.alaska.edu/haarp/ion1.html)

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    are also ideal for monitoring the ionosphere. VLF waves bounce off the ionosphere, so if

    anything happens to the ionosphere the radio wave will also be affected.

    Solar activity, such as solar flares, the ionosphere and VLF radio waves are all

    interrelated. Solar flares affect the ionosphere, which then affects the VLF radio waves that

    bounce off the ionosphere. There are two major types of radiation that affect the ionosphere,

    solar flares and simple background cosmic radiation. The cosmic radiation is not as strong as the

    solar flares but it is constantly there whereas solar flares are only discrete events during the

    daytime when the sun is facing a certain location, but they come in powerful bursts. During the

    night VLF waves have to travel 90 km, to the E layer in the ionosphere before returning to Earth.

    During the day the D layer is partially ionized so the VLF radio wave must first travel through

    the D layer, losing some of its energy along the way. The signal strength of the VLF wave will

    be stronger at night than in the daytime (Khanal, 2004). However, if there is any kind of solar

    activity the radio waves will not have to travel as far because the increased radiation will ionize

    the D layer and the D layer, instead of the E layer, will reflect the VLF radio waves. Therefore

    the signal strength fluctuates as the reflection fluctuates because of the amount of absorption.

    More than ever, people rely on radio wave technology such as GPS systems and

    communication devices. However, there are many studies that show that radio wave technology

    is subject to disruption. In a study cited by Contreira et al. (2004) showed that AM radio waves

    faded when there was a solar flare. Contreira et al. (2004) also showed that the AM radio signal

    was not as strong during the day because the energy from the sun was ionizing the ionosphere,

    which results in the absorption of some of the AM radio waves. Although VLF waves respond

    differently to solar activity, my study shows that radio wave technology is affected by

    disturbances in the ionosphere and this disturbance can affect everyday life. When using VLF

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    radio waves for communication, solar activity will affect the strength of the receiving signal.

    Therefore the purpose of this study was to investigate how VLF radio waves are impacted by the

    radiation given off by the sun at various times.

    To monitor solar flare activity using VLF radio waves, Stanford University set up a

    program that distributes inexpensive ionospheric monitors to students around the world

    (http://solar-center.stanford.edu/SID/, 2006). These monitors, with the help of an antenna,

    record VLF radio waves that are emitted from a specific VLF transmitter station. By tracking

    the strength of the radio waves over a period of time it is possible to draw conclusions about the

    characteristics of the ionosphere, because the radio waves and the ionosphere are so closely

    related. When there is a fluctuation in the signal strength during the day, it is known as a Sudden

    Ionospheric Disturbance or a SID. A SID is a change in the level of ionized particles in the

    ionosphere, which cause the VLF waves to be reflected either more or less. To find out what

    caused the SID, there is data from the GOES satellite that monitors the sun directly and records

    solar flares. This data can be found on

    http://www.sec.noaa.gov/ftpdir/warehouse/2006/2006_plots/xray/. If the SID occurs at the same

    time as a solar flare, which can be found by using data from the GOES satellite, then there is a

    direct correlation between the sun, the ionosphere and VLF radio waves. Therefore the sun and

    solar flares affect VLF radio waves. The SID monitor can be useful because it allows indirect

    observation of the ionosphere and the Sun. The SID monitor also allows data to be collected

    from many different locations. This can be useful not only in understanding the ionosphere but

    also in understanding the impact on radio wave technology that relies on the ionosphere. It is

    important to study the ionosphere and radio wave technology that relies on the ionosphere

    because the ionosphere will not remain constant in its level of ionization for a long time. When

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    the ionization does change we should be aware of the fact that radio waves will also change

    because the ionization level in the atmosphere impacts them.

    Presently, there has been a very low level of SID activity in the ionosphere because the

    sun is relatively calm. If the characteristics of the ionosphere change because solar activity

    increases then VLF radio waves will no longer work the way they were supposed to. Therefore

    today VLF waves work fine; however, if there is a solar flare tomorrow then the VLF radio

    waves will work in unexpected ways. Although there is a known 11-year cycle for solar activity

    corresponding to the suns magnetic field reversal, it is not possible to predict, with a high level

    of accuracy, when individual solar flares will occur. This makes us vulnerable to potential

    unexpected negative effects on important technological tools that rely on the ionosphere and the

    level of ionization. Currently the sun is at its lowest point of the 11-year cycle so there are not a

    great number of solar flares, or SIDs. However, it is predicted that in the next five or six years

    there will be a 30 to 50 percent increase in solar activity compared to the last solar maximum

    (Leary, 2006). It is important to take advantage of the present lull in the solar activity to explore

    the suns baseline effect on the ionosphere and VLF waves when it is not highly active. If we

    can understand what is happening in the ionosphere when there is no solar activity it could be

    easier to solve the issues of the accuracy of technology so that we will be prepared when the

    solar activity is more frequent. For example, more than ever we are using GPS or global

    positioning systems, however, one study showed that disturbances in the ionosphere cause GPS

    satellite signals to fade (Peter, 2003). Aguire, (2005) confirms that more and more scientists and

    amateurs from around the world are recording SIDs and noticing how they affect radio

    communications. In the near future, because of solar disturbances, there will be a decrease in the

    accuracy of technology that is dependant on radio waves that are reflected by the ionosphere.

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    For this project a SID monitor was used in a suburban area on Long Island, New York to

    record VLF radio waves from a US Navy transmitter in North Dakota and track changes in the

    ionosphere. Data was collected and compared to data recorded in Boston, Massachusetts and

    Logan, Utah by the same type of device monitoring the same transmitter. Logan is south of the

    transmitter, but at nearly the same latitude as Long Island. I have examined the variation of VLF

    intensity at my receiver nearly every day since April 2006. The signal varies in a characteristic

    way at each station at sunrise and sunset due to variations in the ionosphere. In particular,

    variations at sunrise and sunset are not mirror images of each other. A typical signal over 24

    hours is shown in Fig 4, in which the characteristic events during sunrise and sunset are

    identified. I tabulated these times during sunrise and sunset at the location of my receiver and

    compared them to the times of sunrise and sunset at the transmitter and to the times of the sunrise

    and sunset spikes and dips. This data is shown in Figures 5 and Table 1. By studying what is

    happening in the ionosphere at a specific moment, the conclusion is that the ionosphere is

    affected by the sun and specifically by the angle of the sun in relationship to a certain location.

    The sun similarly affects the VLF radio waves that are reflected by the ionosphere.

    Procedure

    A Sudden Ionospheric Disturbance (SID) monitor was obtained from Stanford

    Universitys Solar Center (http://solar-center.stanford.edu/SID/). The monitor was made

    available to educators, high schools and research institutions. The programs goals are to

    distribute SID monitors to people around the world, have them track SIDs and share the data

    collected through their website.

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    Monitor

    The particular monitor used, which is connected to an antenna which I made, records

    VLF radio waves transmitted from a military radio station in LaMoure, North Dakota (Latitude

    46.37N, Longitude 98.33). The monitor was programmed by Stanford University, to receive

    radio waves with a wavelength of 25.2 kHz, which LaMoure transmits.

    The device was connected to a computer in Rockville Centre where it runs continuously,

    measuring the signal strength every 5 seconds. The setup was located in Rockville Centre, New

    York (Latitude 40.67N, Longitude 73.64W). The VLF radio waves were recorded by the

    computer, which transferred the raw analog data into digital values. The program measures the

    radio waves strength in voltage and takes a point of data every five seconds.

    Antenna Construction (Figure 3, A-C)

    The monitor was connected to an antenna, which I altered from the original plans

    included with the kit from the Stanford Solar Center. I used a square structure for the base og the

    Figure 3: Construction of Antenna

    A B C

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    antenna that I built which was sturdier than the one recommended by Stanford University. The

    base of the antenna was constructed of PVC pipe (diameter = ) (Fig 3, A). Eight, 4 pieces of

    PVC were connected into a square using elbows and Ts. I then used 8 pieces that were 4 932 "

    long to divide the square into quadrants using Ts and a cross joint. Two inch pieces were used

    to build vertically and 4 932 " pieces to build parallel to the ground. This raised the base and

    added another dimension. To make the base sturdier I added another level by building up with 6

    pieces and across with 4 932 " pieces. To attach the two appendages I used a 2 piece of PVC.

    I then attached the antenna, which was made in the shape of an X, of 1x 2 pine attached to

    the base using another piece of PVC 25 long (Fig 3, C). After the frame of the antenna was

    built, with help from my classmates, I wrapped 24-gauge wire around the mast 50 times (Fig 3,

    B). Once the coil antenna was built I placed it outside and positioned it so that the plane of the

    wire was perpendicular to the expected transmission source (Fig 3, C). I connected the antenna

    to the SID monitor and then calibrated the monitor.

    Connection with the Computer

    The monitor was attached to my computer using an available serial port. The computer

    recorded the data that the monitor collected and stored the information in a file. The computer

    recorded a data point every 5 seconds in 24 hour blocks.

    Excel Graphs and comparing Data

    The raw data was recorded and stored as voltage versus time values in a .csv formatted

    file. I then convert the raw data into graphs, which were easier to use to make comparisons. To

    change a csv (comma separated value) file, which is the format the program automatically uses,

    into a excel file I clicked on the file and used Excels chart wizard. Once the data was

    represented as a line graph (Fig 4), I looked for the phenomenon called the sunrise/sunset effect.

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    Around sunrise and sunset the graphs have large spikes because of the sudden change in

    ionization. The phenomenon is a good indicator of accurate data because it is a phenomenon that

    has shown up on previous data from SID monitors. After I was sure I could see the

    sunrise/sunset effect, I looked for SIDs, which are changes in the voltage over time on the

    daytime part of my graph (Fig 4). If I had any sort of spike, like the one in Fig. 4, then I would

    check it against solar flare activity using graphs from the GOES satellite, which can be found on

    http://www.sec.noaa.gov/ftpdir/warehouse/2006/2006_plots/xray/, to see if there was a

    correlation between a spike on the graph and the spikes on the graphs from the GOES satellite

    (Fig 5). The GOES satellite orbits the Earth outside of the atmosphere and captures data from

    the sun. The satellite records solar flare activity. This includes the time at which solar flares

    occur, how long they last and the intensity of the solar flare. By comparing this information with

    the graphs from the SID monitor, I was able to determine whether or not the SID is induced by a

    solar flare. I also studied the sunrise/sunset effect to find out what was happening that was

    different during sunrise and sunset. Finally, I used my graphs to compare them with other data

    from scientists from two locations in the United States. I compared data with a scientist in Utah

    and a professor in Boston, Massachusetts and I looked for any similarities and differences

    between our graphs, especially those differences during sunrise and sunset.

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    Results

    The graphs from my SID monitor created a definite daily pattern. Each graph showed

    that after local sunset there was an increase in the signal strength or spike (A) as seen in Fig. 4.

    Figure 4: Sample Data from July 4th

    Figure 5: Solar Flare Data from GOES Satellite

    SID Project NML_S-0021 SSHS 2006-07-04

    [email protected]

    -5

    -4

    -3

    -2

    -1

    0

    1

    2

    3

    4

    5

    7/4/2006

    0:00

    7/4/2006

    0:40

    7/4/2006

    1:21

    7/4/2006

    2:02

    7/4/2006

    2:43

    7/4/2006

    3:24

    7/4/2006

    4:05

    7/4/2006

    4:46

    7/4/2006

    5:27

    7/4/2006

    6:08

    7/4/2006

    6:49

    7/4/2006

    7:30

    7/4/2006

    8:11

    7/4/2006

    8:52

    7/4/2006

    9:32

    7/4/2006

    10:13

    7/4/2006

    10:54

    7/4/2006

    11:35

    7/4/2006

    12:16

    7/4/2006

    12:57

    7/4/2006

    13:38

    7/4/2006

    14:19

    7/4/2006

    15:00

    7/4/2006

    15:41

    7/4/2006

    16:22

    7/4/2006

    17:03

    7/4/2006

    17:43

    7/4/2006

    18:24

    7/4/2006

    19:05

    7/4/2006

    19:46

    7/4/2006

    20:27

    7/4/2006

    21:08

    7/4/2006

    21:49

    7/4/2006

    22:30

    7/4/2006

    23:11

    7/4/2006

    23:52

    Hours (UTC)

    Sunset

    Spike (A)

    Sunrise Dip

    (B)

    Recovery (C)

    SID (D)

    Solar Flare

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    During the nighttime the signal was high, but the signal strength also varied from night to night.

    There was, however, a definite dip, or decrease in signal strength, before sunrise (B), which is

    followed by a recovery (C) and a more subtle decrease in signal strength as seen in Fig. 4. After

    local sunrise the graph leveled out and remained at a relative constant unless there was a SID

    (D). These trends were repeated almost everyday and an example of an everyday graph can be

    found in Fig. 4. Because there were so few SIDs I focused on sunrise and sunset and how they

    affect the ionosphere.

    To find patterns in my data, during sunrise and sunset, I took a week of data in July and

    compared the local sunrise time, the sunrise time by the transmitter, the times of the sunrise

    DateLocal sunrise

    (UTC) NML sunrise First spike Recovery Local sunset NML sunset Spike

    7/2/2006 10:27 11:44 8:59 9:52 1:29 3:29 2:59

    7/3/2006 10:27 11:45 9:02 9:52 1:29 3:29 3:01

    7/4/2006 10:28 11:46 9:07 9:44 1:29 3:28 2:59

    7/5/2006 10:28 11:46 8:59 9:52 1:28 3:28 2:55

    7/6/2006 10:29 11:47 8:57 9:54 1:28 3:28 2:53

    7/7/2006 10:30 11:48 9:10 9:44 1:28 3:27 2:56

    7/8/2006 10:30 11:49 9:08 9:55 1:28 3:27 2:57

    Average 10:28 11:46 9:03 9:50 1:28 3:28 2:57

    Table 1: Sunrise and Sunset Times

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    spike and recovery, the local sunset time, the sunset time by the transmitter and the time of the

    sunset spike. By using Table 1 and Fig. 6 we can clearly see the order of the events. Fig. 6

    shows that the sunrise spike on my graphs happen before the sun rises over the location of the

    receiver or the transmitter. Fig. 6 also shows that the sunset spike occurs after sunset at the

    location of the receiver and before sunset at the location of the transmitter. This means that the

    ionosphere is ionized before the sun rises and after the sun sets because there is a change in

    signal strength which means that there is a change in the level of ionization.

    Once I knew what types of patterns my graphs formed, I compared my own graphs with

    graphs from other receivers using the same type of transmitter. I found that my graphs were

    Figure 6: Sunrise and Sunset Effect Graph

    Sunrise and Sunset Effect

    0:00

    2:24

    4:48

    7:12

    9:36

    12:00

    14:24

    0 1 2 3 4 5 6 7 8 9

    Days

    Time(UTC)

    NML sunrise

    Local sunrise

    Recovery

    Sunrise spike

    NML sunset

    Sunset spike

    Local sunset

    Deleted:

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    similar to those graphs created from receivers at a similar longitude. On the other hand, my

    graphs were different from those graphs created from receivers with a very different longitude.

    These similarities and differences can be seen in Fig. 6.

    Stanford University has hosted this project along with many other projects using SID monitors

    (Fig 7). In order to look at data more carefully, Stanford set up a website where people with SID

    monitors can share their data. This graph, from the Stanford University website, shows how

    similar the Rockville Centre and the Boston graphs are. They have similar sunrise and sunset

    spikes and the daytime values are almost exactly the same. The Logan graph is different because

    there is a decrease in the signal strength before sunset and the sunrise spike and recovery are

    larger and more spread out over a period of time.

    Figure 7: Graph of Data from Rockville Centre, NY; Logan, UT; Boston MA for July 10th

    2006

    __ = Rockville

    Centre

    __ = Logan

    __ = Boston

    Local

    Sunset

    for

    Rockville

    Centre

    and

    Boston

    Sunset Spike for

    Rockville Centre

    and Boston

    Sunrise Dip for

    Rockville Centre

    and Boston

    Rockville Centre

    Lo an

    Local Sunrise forRockville Centre

    and Boston

    Boston

    Deleted:

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    Discussion

    The goal of this project was to use VLF radio waves as a tool to monitor the ionosphere

    and to observe how radiation from the sun affects the strength of VLF radio waves. Because

    there was not a lot of solar activity in the form of solar flares, I concentrated my analysis on how

    sunrise and sunset affect the ionosphere and VLF radio waves that are reflected by the

    ionosphere.

    By graphing the sunrise and sunset times and the times of the various peaks on a graph, I

    was able to determine the order of events that affect the ionosphere and VLF radio waves. I

    found that the sun rises in the ionosphere first. This causes the ionosphere above the receiver

    and transmitter to be ionized before the sun even rises at the location of the receiver, assuming

    that, like my set up, the receiver is east of the transmitter. When radiation from the sun comes

    around the Earth, which acts like a shield during the night, the radiation again ionizes the

    ionosphere. This sudden ionization causes the signal strength of the VLF radio waves to

    decrease in a short period of time. As seen in Fig. 7 when the sun first starts to ionize the part of

    Earth

    SunIonosphere

    Figure 7: Diagram of the Suns Radiation and the Ionosphere

    Not Drawn to Scale

    Rockville Centre

    Transmitter

    Logan

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    the ionosphere observation, it is from the underside of the atmosphere. This was an interesting

    find because for the most part the ionosphere is always ionized from above. With this piece of

    information I concluded that the second sunrise spike or the recovery is due to the fact that the

    suns rays of radiation have moved past the ionosphere directly above the transmitter and

    receiver and the sun is slowly starting to ionize the ionosphere from above. Once the sun is

    ionizing the ionosphere from above, the curve on the graph is relatively constant due to the

    constant bombardment of radiation from the sun.

    The sunset effect can be similarly explained. The sun sets at the location of the receiver

    first. The Earth then blocks the rays of radiation as the sun sets on the ionosphere. As soon as

    the radiation cannot reach the ionosphere, the signal strength increases drastically in a short

    period of time. The sun then sets at the location of the transmitter because the transmitter is west

    of the receiver.

    When comparing my data with other data from across the United States, I noticed that

    while all the graphs were similar in shape they had some differences. One major cause of these

    differences could be the calibration of the individual monitor. When setting up a monitor you

    must calibrate it for +- 5V and even the slightest difference in calibration can cause differences

    in the results. For example, in Fig. 6, the Logan graph has a much higher daytime reading. This

    could be due to differences in calibration or the variation in local wave strength because Logan is

    west of the transmitter and the wave propagation from east to west could be different from the

    west to east observations. This difference in signal strength, while noticeable, is unimportant

    because it is the change in signal strength, not the actual reading, that matters.

    I also noticed, when comparing the graphs, that latitudinal differences do not affect the

    results as much as longitudinal differences do. Boston and Rockville Centre have similar

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    longitudes but different latitudes and the graphs are very similar, in fact the sunrise and sunset

    spikes shown in Fig. 6 match up almost perfectly. However, because Rockville Centre and

    Logan have very different longitudes, even though their latitudes are similar, their graphs are

    very different. For example, Fig. 6 shows that the Logan graph has an entirely different sunset

    spike and a delayed sunrise spike. This is because Logan is west of the transmitter and the

    sunset effect is the same as the sunrise effect except backwards. In Rockville Centre and Boston

    the sun sets over the receiver and then in the ionosphere and finally at the transmitter. However,

    in Logan, the sun sets at the transmitter first. The sun then ionizes the ionosphere from the

    underside one last time, which causes the signal strength to decrease. The sun then sets in the

    ionosphere over Logan and causes the signal strength to increase rapidly and finally the sun sets

    in Logan. Therefore, longitudinal differences play a major role in the differences of the VLF

    radio wave strength, especially because of the relationship to the transmitter. After analyzing

    data from these multiple sources, I can conclude that the angle of the sun has an effect on VLF

    radio waves strength and the ionosphere.

    My project has shown how many of the interesting characteristics of VLF radio waves

    depend on the behaviors of the ionosphere, which rely on the suns radiation. However, there is

    still a lot out there that is not known about VLF radio waves and their relationship with the

    ionosphere. As further research it would be interesting to study why the signal strength at night

    is not constant. It would also be interesting to study how solar flares affect VLF radio waves in

    different locations around the world, especially since the solar activity will soon be increasing. I

    hope that his project can be the jumping off point for other fascinating studies about radio wave

    technology and their relationship with the ionosphere and the sun.

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    References

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    GOES Solar Flare Graphs Web site:

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