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Xiao Wang, Jiankui Shi, Guojun Wang, Yu Gong

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The positive deviation is strongest in equinox and weak in winter. ... The deviation at sunrise and from noon to sunset is bigger in equinox. ... – PowerPoint PPT presentation

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Title: Xiao Wang, Jiankui Shi, Guojun Wang, Yu Gong


1
Comparison of ionospheric F2 peak parameters foF2
and hmF2 with IRI2001 at Hainan
Center for Space Science and Applied
Research Chinese Academy of Sciences
  • Xiao Wang, Jiankui Shi, Guojun Wang, Yu Gong
  • Email wangx_at_cssar.ac.cn
  • or
    xwang_at_spaceweather.ac.cn
  • State Key Laboratory of Space Weather, CSSAR
  • Chinese Academy of Sciences

IRI/COST 296 Workshop
2007.07.13, Prague
2
Outline
  • Introduction
  • Data and Method
  • Results
  • foF2
  • hmF2
  • Summary

3
1. Introduction
  • The International Reference Ionosphere (IRI) is a
    widely used empirical model of the ionosphere.
    Since its first release in 1978, updates and
    improvements to this model have been made. In the
    updated version IRI2001, many new changes have
    been made to this model.
  • The IRI model uses either CCIR or URSI
    coefficients to predict the foF2 and hmF2 based
    on the 12-month running average sunspot number.
  • The ionospheric data from Chinese continent were
    not used when producing the those coefficients.
    The ionosphere in China region is affected
    greatly by the low latitude ionosphere which is
    very complicated. A validation study of the model
    compared with observational results in China is
    necessary.
  • The ionospheric parameters from Hainan, China
    (19.5N, 109.1E) are used to validate the IRI2001
    in the low latitude.

4
2. Data and method
  • Data
  • Ionospheric parameters (foF2, hmF2, M(3000)) (Kp
    lt3)
  • Instrument DPS-4
  • Location Hainan, China
  • (109.1oE,19.5o N Geomag
    178.950 E,8.10 N)
  • Period Feb 2002 Mar 2007
  • Time interval 15 minutes

5
Method
In this study, behaviors of the observed foF2 and
hmF2 are investigated and compared with IRI
predictions. For the observation data, monthly
median /average values of foF2, and hmF2
parameters with quarter-hourly time interval for
diurnal variation, seasonal variation and solar
cycle. For the IRI2001, monthly median /average
values of quarter-hourly foF2 and hmF2 parameters
of IRI prediction with CCIR, URSI coefficients or
M3000 observation as model input.
Delta foF2 foF2OBS- foF2IRI Delta
hmF2 hmF2OBS- hmF2IRI
6
Results
a. foF2
foF2 observation
foF2 prediction (URSI)
  • Diurnal/ seasonal variation, solar cycle
  • Time and duration of foF2 peak and night peak
  • Short period of low values at sunrise

7
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • Overestimate Morning time and night in winter
  • Underestimate Other time

8
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • Overestimate Morning time and night in winter
  • Underestimate Other time

9
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • Overestimate Morning time and night in winter
  • Underestimate Other time

10
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • Overestimate Morning time and night in winter
  • Underestimate Other time

11
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • Overestimate Morning time and nighttime in
    winter Underestimate Other time
  • Solar Cycle big deviation at high and moderate
    solar activity small deviation at solar min.
  • Lower value period at 7 oclock for Obs. foF2 in
    winter and equinox

12
Deviation of foF2 between observation and IRI
prediction (CCIR)
  • Obvious systematical difference in the whole
    period
  • Overestimated and underestimated time period for
    LT
  • Seasonal variation underestimated equinox (big)
    for ( 0200LT, 1300LT and 2000LT), winter
    (smallest)
  • Overestimated winter (biggest)
    summer(smallest)
  • Smallest difference about 0600LT and
    1000-1100LT
  • Solar Cycle
  • a. value
  • b. duration

13
Deviation of foF2 between observation and IRI
prediction (URSI)
Similar with CCIR except for smaller
deviation. Overestimate foF2 is more obvious.
14
b. hmF2
hmF2 Observation
hmF2 prediction (CCIR)
  • Diurnal/ seasonal variation, solar cycle
  • Peak time 1315 LT for Obs. 1300LT for CCIR
  • Peak at sunrise always for Obs. Only in winter
    for CCIR

15
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • overestimate Morning time and 0300LT for equinox
  • underestimate Other time
  • Good agreement for the IRI hmF2 with observed
    M(3000) input

16
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • overestimate Morning time and 0300LT for equinox
  • underestimate Other time
  • Good agreement for the IRI hmF2 with observed
    M(3000) input

17
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • overestimate Morning time and 0300LT for equinox
  • underestimate Other time
  • Good agreement for the IRI hmF2 with observed
    M(3000) input

18
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • overestimate Morning time and 0300LT for equinox
  • underestimate Other time
  • Good agreement for the IRI hmF2 with observed
    M(3000) input

19
  • Variation pattern
  • Systematical deviation between observation and
    prediction
  • overestimate Morning time and 0300LT for equinox
  • underestimate Other time
  • Good agreement for the IRI hmF2 with observed
    M(3000) input

20
Deviation of hmF2 between observation and IRI
prediction (CCIR)
  • Obvious systematical difference in the whole
    period
  • Overestimated and underestimated time period for
    LT
  • Seasonal variation Underestimated equinox (big)
    for ( 0200LT and 2000LT), winter (smallest)
  • Overestimated winter (biggest)
    summer(smallest)

21
Deviation of hmF2 between observation and IRI
prediction (observed M(3000))
Good agreement with observation except for
a. overestimated in the daytime and
underestimated in the nighttime in solar max.
b. Slightly overestimated in the daytime and
underestimated at sunrise
22
4. Summary
  • Comparison of the low-latitude ionospheric
    F2 peak parameters foF2 and hmF2 with IRI2001
    were done using the ionospheric parameters
    obtained with DPS-4 digisond in Hainan
    observatory from 2002 to 2007, which was
    characterized by a wide range of solar activity,
    from solar maximum (2002) to solar minimum
    (2007). Some results can be got
  • For the foF2
  • Generally IRI predictions follow well the
    diurnal, seasonal variation and solar cycle
    patterns of the experimental values of foF2. The
    occurring time of foF2 peak of observations is
    earlier and it also can last longer time.
  • There are systematical deviation between
    experimental values and IRI predictions with
    either CCIR or URSI coefficients. Generally IRI
    model underestimates the values of foF2 from
    about noon to sunrise of next day, especially in
    the period of 1700-2200LT, and slightly
    overestimates them from about 0600LT to about
    1100LT and also about noon in winter.
  • The positive deviation is strongest in equinox
    and weak in winter. The negative deviation is
    strongest in winter and weak in summer.

23
  • It seems that there are bigger deviations between
    IRI Model predictions and experimental
    observations for the solar median.
  • There are better agreement between observation
    and IRI with URSI coefficients.
  • For the hmF2
  • Generally the IRI predicted hmF2 values using
    CCIR M(3000)F2 option shows a poor agreement with
    the experimental results, but there is a
    relatively good agreement in summer.
  • There are systematical deviation between hmF2ccir
    and hmF2obs. The IRI overestimate hmF2 from
    0700LT to 1200LT and about 0300LT and
    underestimate it at sunrise and from noon to
    sunset. The deviations of sunrise and afternoon
    decrease with solar activity decreasing, but the
    deviation in the morning increases.
  • The deviation at sunrise and from noon to sunset
    is bigger in equinox.
  • When using the measured M(3000)F2 as input, the
    agreement between the IRI predicted hmF2 values
    with the measured M(3000)F2 and the experimental
    hmF2 is very well except that IRI overestimates
    slightly hmF2 in the daytime and underestimates
    it in the nighttime.

24
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