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Electron density profile retrieval from RO data

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Data Assimilation test Xin an Yue, Bill Schreiner Assumptions used in CDAAC Abel: 1. ... (Simulation) LT-MLat variation of Ne from real data Cont. ... – PowerPoint PPT presentation

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Title: Electron density profile retrieval from RO data


1
Electron density profile retrieval from RO data
  • Abel inversion error of Ne
  • Data Assimilation test
  • Xinan Yue, Bill Schreiner

2
Abel Ne Error Sources
  • Assumptions used in CDAAC Abel
  • 1. Straight-line signal propagation
  • 2. Circular satellite orbit
  • 3. First-order estimation of electron density at
    the orbit altitude
  • 4. Spherical symmetry of electron density

3
Orbit Ne estimation evaluation Comparing CHAMP
RO estimated with PLP observed Ne on the orbit
4
Current CDAAC estimation method tends to
overestimate the orbit Ne.Since we use the
constant Ne assumption around top most points,
while the Ne decrease with the altitude increase
5
Abel 1 First order estimation Abel 2 Given by
on orbit observation (here is the model
result) Abel 3 No orbit Ne
1, Different orbit Ne estimation method will
mainly influence the top most points. 2, Adding
an on orbit Ne observation seems like not
necessary for the Abel inversion.
6
Abel Error distribution versus latitude and
altitude Modeling results
True Ne
Retrieved Ne
Noon timeLT13
Absolute Deviation
Relative Deviation
Unit 11011/m3
7
COSMIC observations (same time/duration as
simulation)
110 km
220 km
COSMIC
Unit 11011/m3
8
Artificial Wave Number 4 structure of Ne below F2
region made by the Abel inversion Simulation
9
COSMIC Observations, 20-22 LT
10
Conclusion
  • The orbit Ne is overestimated by 10 in the
    current CDAAC method from CHAMP observations.
  • The orbit altitude Ne only influences the topside
    of the EDP. Adding an on orbit observations has
    no positive effect on the EDP retrieval.
  • The Abel inversion can result in some systematic
    errors. e. g. plasma cave, three peak of the E
    layer along the latitude, artificial wave number
    4 structure in the E and F1 layer.

11
2.Data assimilation retrieval
12
  • Assimilation method and parameter choice
  • Pijr1XibXjbe-dij/L r10.01
  • Rijr2y2dij r20.001
  • Grid division
  • Latitude2.5 degree Longitude 5 degree
    Altitude 2.5 km
  • For one occultation event, there are 6000 grid
    points that GPS rays pass through

13
  • Ionospheric Correlation Length

14
  • 2009.266 (very quiet) is chosen to do the test

Background F107
DA1 NeQuick real
DA2 IRI real
DA3 IRI Real40
15
  • Occultation event distribution during the
    selected day (2009.266). Also shown is the
    co-located Ionosondes and profile number(22
    stations, 72 profiles in total)

16
Results1
  • An example of DA retrieval of simulated TEC by
    three different backgrounds

17
Results2
  • Comparison of NmF2 hmF2 of 3 DA retrievals
    from simulated TEC

18
Results3
  • Comparison of all Ne and error statistical of
    Abel retrieval and DA2 retrieval from simulated
    TEC

19
Validation1
  • Comparison of EDP retrieved by Abel and DA method
    between two co-located cases in the same time.

data assimilation retrieval is less influenced
than Abel method by the ionospheric inhomogeneity
20
Validation2 (Simulation)
  • Comparison of the latitude and altitude Ne and
    its retrieval error from simulation
  • LT13
  • Manmade plasma cave disappears in DA retrieval.

21
Cont.(real data)
  • Comparison of Ne retrieved from real data by Abel
    and DALT13

22
Validation3(Simulation)
  • Comparison of Ne and its error from simulation

23
Cont.(real data)
  • LT-MLat variation of Ne from real data

24
Validation4 (With Ionosonde)
  • An example of retrieved EDPs in comparison with
    co-located Ionosonde EDP

25
Cont.
  • Statistical comparison with co-located Ionosonde
    data (below hmF2 Ne)

26
Conclusion
  • Data assimilation Retrieval has a better
    performance than Abel retrieval from simulation
    study
  • DA method can improve the retrieval especially
    around and below F2 peak region.
  • The climate features such as manmade plasma cave
    (also call 3 E layer peaks) are improved by Data
    assimilation retrieval.
  • Comparison with Ionosonde data confirms the
    validation of DA retrieval methond.

27
  • Data assimilation retrieval can improve the
    retrieval by both the simulation and real data
    test, but it has following disadvantages
  • 1, Big computation.
  • 2,Include the model information.
  • 3, If the relative TEC (which is very accurate)
    is assimilated, it assumes the background model
    is unbiased, which is not usually satisfied.
  • 4, If the absolute TEC is assimilated, the
    uncertainty of the absolute TEC calculation will
    influence the retrieval quality.
  • 5, Might have degraded performance during
    disturbed condition.

28
World Map by COSMIC, for fun
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