Title: Xiao Wang, Jiankui Shi, Guojun Wang, Yu Gong
 1Comparison 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 
 2Outline
-  Introduction 
-  Data and Method 
-  Results 
-  foF2 
-  hmF2 
-  Summary
31. 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.
42. 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 
5Method 
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 
 6Results 
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
12Deviation 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
13Deviation of foF2 between observation and IRI 
prediction (URSI)
Similar with CCIR except for smaller 
deviation. Overestimate foF2 is more obvious. 
 14b. 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
20Deviation 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)
21Deviation 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  
 224. 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.
24Thanks