Development of Global Ionospheric Electron Density Monitoring System Using FORMOSAT-7...
Transcript of Development of Global Ionospheric Electron Density Monitoring System Using FORMOSAT-7...
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Development of Global Ionospheric Electron Density Monitoring System Using
FORMOSAT-7/COSMIC-2
Charles Lin1, Chi-Yen Lin2, Tiger Jann-Yenq Liu2, Chia-Hung. Chen1 and Wei-Han Chen1, Tomoko Matsuo3
1Department of Earth Science, National Cheng-Kung University, Tainan, Taiwan
2Institute of Space Science, National Central University, Jhong-Li, Taiwan
3NOAA/SWPC and Univ. of Colorado, Boulder, CO, USA
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FORMOSAT-3/COSMIC
FORMOSAT-7/COSMIC-2
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F-3/C: 30 days 2-hrs data spin-up
F-7/C-2: 2-hrs data spin-up
1-hr
1-hr
day-to-day ionosphere variability
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Daily global electron density - TACC product
data assimilation of RO Iono. TECs
Full Kalman filter
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Physical Model
Data Assimilation Results
Ensemble Kalman filter DA
Assimilation of Ne profile Assimilation of RO Iono. TECs
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Ionospheric Data Assimilation Model
ModelObservations
Ionosonde/digisonde
ISR
GPSTEC
GPS RO
IVM
Airglow/EUV Imager
FPFIM
IFM
IPM
TIEGCM
SAMI-3
GAIA
Method
3D-Var
4D-Var
KF
EnKF
LETKF
[O]
[U]
[V]
[TN]
[O+]
[Ne]
Global distribution of ground-based GNSS
and FORMOSAT-3/COSMIC
26 September 2011 Geomagnetic Storm
state
variables
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GPSTEC TIEGCM
Prior
(forecast)
Posterior
(nowcast)
Storm time data assimilation (10-min assimilation cycle)
[Chen et al., 2016]
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Heelis Weimer
Assimilation for 2015 St. Patrick Storm
High Lat. Forcing
• Diff. high lat. forcing
• Heelis & Weimer
• 10-mins cycle
Chen et al., 2016 shows that if assimilation cycle is 60 mins., the result is similar to NO assimilation.
• Un-obs. state var.
Tn, V, U, [O], [O2]
adjusted based on each of
their relationships with TEC[Matsuo et al., 2012; Lee et al., 2012; Hsu et al., 2015; Chen et al., 2016]
• Indicating importance of
driving force of the
background model
P–25 Chia-Hung Chen
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Forecast time/error @ various latitudes
DART/TIEGCM-Weimer DART/TIEGCM-Heelis
High
Mid.
Low
P–25 Chia-Hung Chen
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Storm-time eastward E-field adjustments2015 St. Patrick’ Day storm (17 March)
Joshi et al., [2016]
Ionosonde-derived PRE vertical drifts
After assimilation
without assimilation
+++
———
+++
———
Heelis model as high latitude
convection specifications.
Dusk eastward E-field appears
after assimilation of TECs.
ExB @ dusk of 16/17 March
Heelis ~ 31 / 78.8 m/s
Weimer ~ 25 / 129.4 m/s
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Diff
.
Diff
.
3-days before the storm, during quiet time (14 March 2015)
PRE
Background model under-estimated the pre-reversal enhancement (PRE) effect and it is adjusted by the assimilation
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J. M. Retterer, JGR 2010
PRE of vertical driftor eastward E-field
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Prominent plasma bubbles occurred on 14 March 2015 due to strong PRE
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GPS-ROTI
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plasma bubbles
RF beacon scintillation/tomography
RO Scintillation
S4
IVM δN
GPS Satellite
It is time to go for plasma
bubble forecast model
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Summary
• FORMOSAT-3/COSMIC promotes ionosphere data assimilation model.
• FORMOSAT-3/COSMIC provides new insights to ionospheric plasma structure in climatology point of view; FORMOSAT-7/COSMIC-2 will be able to provide day-to-day global ionosphere variability. New data product will be available in data center.
• Through assimilation of Ne and TEC, ionosphere E-field can be improved. The E-field in evening (Pre-reversal enhancement) is a key driver for plasma bubble generation.
• With ExB drifts (COSMIC-2, ICON), beacon transmitter & RO-S4 (COSMIC-2), neutral temp. & winds (ICON), neutral compositions (GOLD, ICON), we could move forward to the assimilation model of smaller scale ionosphere structure (irregularities).