Empirical Ionospheric Models from Worldwide Incoherent Scatter Radars - PowerPoint PPT Presentation

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Empirical Ionospheric Models from Worldwide Incoherent Scatter Radars

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Title: Ionospheric climatology and model from long-term databases of worldwide incoherent scatter radars Author: Shunrong Zhang Last modified by – PowerPoint PPT presentation

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Title: Empirical Ionospheric Models from Worldwide Incoherent Scatter Radars


1
Empirical Ionospheric Models from Worldwide
Incoherent Scatter Radars
  • Shun-Rong Zhang and John Holt
  • MIT Haystack Observatory, USA
  • Tony van Eyken
  • EISCAT Association, Norway
  • Mary McCready
  • SRI International, USA
  • Christine Amory-Mazaudier
  • Centre for the Study of Earth and Planets
    Environments, CNRS, France
  • Shoichiro Fukao
  • Research Institute for Sustainable
    Humanosphere, Kyoto University, Japan
  • Michael Sulzer
  • Arecibo Observatory, National Astronomy
    Ionosphere Center, Puerto Rico

2
Outline
  • ISR long-term database
  • Modeling technique
  • Results local models
  • A case study Annual variations
  • Comparisons with IRI
  • Applications
  • Regional Models
  • ISR Convection Model
  • Model Availability
  • Future Projects

3
World Incoherent Scatter Radars
4
MADRIGAL Long-term ISR Database
www.openmadrigal.org
5
Madrigal
6
Existing Long-term Data
  • The European Chain
  • EISCAT Svalbard Radar (1997-), in polar cap, the
    highest latitude
  • EISCAT Tromsø UHF radar (1984-) and VHF radar
    (1990-),
  • St. Santin Radar (1973-1986)
  • East America Chain
  • Sondrestrom Radar (1990-)
  • Millstone Hill Radar (1970-)
  • Arecibo Radar (1966-)
  • East Asia
  • MU Radar (1986-2003)

7
Binning and Fitting technique
  • Data are binned according to local time and month
  • Piece-wise linear height profile is used for
    initial data binning with 17-19 height nodes.
  • Solar activity dependency is determined by a
    leaset-squares fit to a linear function to F107.
  • Median filter (3 months x 3 hours) is applied to
    the fitting coefficients.

8
Analytic representations of bin-fit results
  • Seasonal variations harmonics with 12, 6 and 3
    month components
  • Local time variations harmonics with 24, 12, 6
    and 3 hour components
  • Height variations cubic B-spline with 17 breaks
    and gradient controls at upper and lower
    boundaries.

9
Height Profile
10
Height Profile Basis Function
11
Data Distribution
12
ResultsMidday Ne
Svalbard
Sondrestrom
Curve Color Code Winter Spring Summer Autumn
Tromso
Millstone
St. Santin
Shigariki
Arecibo
13
ResultsLatitudinal and Longitudinal features
Semiannual components starts to occur
highlatitude
Semiannual components, longitudinal differences
subauroral
midlatitude
Lower midlatitude
Strong semiannual components, asymmetry
14
O/N2 and SZA change
SZA solar zenith angle
O/N2 (from MSIS)
O/N2 x cos (SZA)
15
Ti
At Millstone, highest Ti occurs in May.
16
Yearly variations Millstone
17
Yearly variations in midday Ti at 350 km
Millstone
Circles Data Dashed Model
Data - Model difference
Percentage difference
F107
18
Comparisons with IRI diurnal
Median solar activity conditions with F107135 or
Rz88
Are MU StS MH Tro Son Sva



Ne
Ne
Ne
Ne
Ne
Ne
Ne
Ti
Ti
Ti
Ti
Ti
Ti
Ti
Te
Te
Te
Te
Te
Te
Te
19
Comparisons with IRI profile
Median solar activity conditions with F107135 or
Rz88
Are MU StS MH Tro Son Sva



Ne
Ne
Ne
Ne
Ne
Ne
Ne
Ti
Ti
Ti
Ti
Ti
Ti
Ti
Te
Te
Te
Te
Te
Te
Te
20
Model Applications Tn and O
Using a simplified energy equations for ions
(widely used in the ISR community for the
neutral parameter deduction)
21
ISR Convection Model
22
Regional Ionospheric Models Millstone Areas
Millstone Regional Ionospheric Model covers
geodetic latitudes 35-55 degrees.
23
ISR Convection Model data
A Combined Dataset from Millstone and Sondrestrom
ISRs Observations
24
ISR Convection Model IMF Bz controls
25
ISR Model Availability
  • Virtual Incoherent Scatter Radars
  • Web interface
  • FTP
  • http//madrigal.haystack.mit.edu/models
  • OR
  • http//www.openmadrigal.org

26
Virtual ISRs current day
27
Virtual ISRs current time
28
Future Projects
  • Regional ionospheric models for
  • Eastern America longitudes
  • European longitudes

29
A New Space Weather Project
  • Multiple incoherent scatter radar long-term
    database study of upper atmosphere climatology
    and variability
  • to generate databases of thermospheric Tn, O,
    winds for multiple ISRs
  • to develop local and regional models of the
    thermospheric parameters
  • to create variability models of the ionospheric
    as well as thermospheric parameters
  • to study latitudinal/longitudinal features of
    the ionosphere and thermosphere.

30
Arecibo Ne diurnal
31
Arecibo Te diurnal
32
Arecibo Ti diurnal
33
MU Ne diurnal
34
Millstone Ne diurnal
35
Millstone Ti diurnal
36
Millstone Te diurnal
37
St. Santin Ne diurnal
38
St. Santin Ti diurnal
39
St. Santin Te diurnal
40
Tromso Ne diurnal
41
Tromso Ti diurnal
42
Tromso Te diurnal
43
Sondrestrom Ne diurnal
44
Sondrestrom Ti diurnal
45
Sondrestrom Te diurnal
46
Svalbard Ne Diurnal
47
Svalbard Ti Diurnal
48
Svalbard Te Diurnal
49
Arecibo Ne profile
50
Arecibo Ti profile
51
Arecibo Te profile
52
MU Ne profile
53
Millstone Ne profile
54
Millstone Ti profile
55
Millstone Te profile
56
St Santin Ne profile
57
St Santin Ti profile
58
St Santin Te profile
59
Tromso Ne profile
60
Tromso Ti profile
61
Tromso Te profile
62
Sondrestrom Ne profile
63
Sondrestrom Ti profile
64
Sondrestrom Te profile
65
Svalbard Ne profile
66
Svalbard Ti profile
67
Svalbard Te profile
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