Title: Assimilation of COSMIC Data into the USU GAIM Model L' Scherliess, D'C' Thompson, R'W' Schunk, and J
1Assimilation of COSMIC Data into the USU GAIM
Model L. Scherliess, D.C. Thompson, R.W.
Schunk, and J.J. Sojka, Center for
Atmospheric Space SciencesUtah State
UniversityLogan, Utah 84322Presented
atCOSMIC MeetingOctober 17, 2006
2GAIM Basic Approach
We use a physics-based ionosphere-plasmasphere-pol
ar wind model and a Kalman Filter as a basis for
assimilating a diverse set of real-time (or near
real-time) measurements. GAIM provides both
specifications and forecasts on a global,
regional, or local grid.
Global
Regional
Local
3(No Transcript)
4GAIM Assimilates Multiple Data Sources
- Data Assimilated Exactly as They Are Measured
- Bottomside Ne Profiles from Digisondes (20)
- Slant TEC from up to 1000 Ground GPS Receivers
- Ne Along Satellite Tracks (4 DMSP satellites)
- Integrated UV Emissions
- Occultation Data (CHAMP, SAC-C, IOX, COSMIC)
5Ionosphere Data Assimilation Modelsat USU
- Gauss-Markov Kalman Filter Model of the
Ionosphere - Full Physics Kalman Filter Model of the
Ionosphere
6 Gauss-Markov Kalman Filter Model
- Specification of the Global Ionosphere
- Kalman Filter solves for Deviations from
Background
Operational Version Delivered July 15,
2004. NRL AFWA Northrop Grumman AFRL CCMC
BEI NOAA
7 Full Physics Kalman Filter Model
- Ionosphere Specification
- with
- Middle Low Latitude Drivers
8Global Ionosphere-Plasmasphere-Polar Wind Model
- 3-D Time-Dependent Parameters
- NO, O2, N2, O, H, He
- Te, Ti
- u, u?
- Auxiliary Parameters
- NmF2
- hmF2
- NmE
- hmE
- TEC
- Grid System
- Global
- Regional
- Localized
- 90-30,000 km
- Realistic Magnetic Field (IGRF)
- Spatial Resolution Along B
- 0.9 km in E-Region
- 1.3 km in F-Region
- 3.8 km in Topside
- 240 km at 17,000 km
9Determination of Ionospheric Drivers in GAIM
- Ionospheric Drivers are determined in GAIM via
an - Ensemble Kalman Filter
- Augmentation of State Vector
- Drivers include
-
- Neutral Wind
- Electric Fields
- Composition
-
10Global Kalman Filter
- March 21-23, 2002
- Data from four different Data Types
- Slant TEC from Network of 167 GPS Receivers
- Occultation Data from three satellites
- (IOX, SAC-C, CHAMP)
- Bottomside Ne from 6 Globally Distributed DISS
Sounders - In situ Ne from 2 DMSP Satellites (F13, F15)
- Kalman Filter Region
- all Longitudes
- 60o S - 60oN magn. Latitude
11Data Distribution
080/2002/0030UT
12IOX
SAC-C
CHAMP
Sample orbits tracks and occultation locations
13Anderson et al. 2003
14Preliminary Comparison of GAIM Ionospheric Specifi
cations with COSMIC Radio Occultation Data
15Comparison of USU GAIM with COSMIC podTec Data
Comparison of USU GAIM Gauss-Markov Model with 10
Days of COSMIC absolute TEC (podTec) from 08/13,
2006 (Doy 225) to 08/22, 2006 (Doy 234).
- Period was initially geomagnetically quiet.
- Geomagnetic Storm occurred on Day 231.
- Solar F10.7cm Flux was approximately 80.
16Ionospheric Data Assimilated into GAIM
- Slant TEC from a Network of more than 350
Ground-Based - GPS Receivers
- Bottomside Electron Density Profiles from 12
DISS Stations - Good Data Coverage over North America
Triangle Ionosonde Station Colored Dot TEC
from GPS Ground Rx Stations shown at 300 km
Pierce Point.
17COSMIC 2 GAIM
GAIM
COSMIC 2 IFM (Climate)
Climate
18COSMIC 2 GAIM
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26Comparison of Radio Occultation Data During Quiet
and Disturbed Conditions
Enhanced geomagnetic activity started on August
20, 2006
27Comparisons during quiet and disturbed Conditions
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Storm
28Comparisons during quiet and disturbed Conditions
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29Comparisons during quiet and disturbed Conditions
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30Comparisons during quiet and disturbed Conditions
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31Comparisons during quiet and disturbed Conditions
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32The Next Step
- We have in the past assimilated GPS radio
occultation data from - IOX, SAC-C and CHAMP and nighttime 1356Å UV
Radiances - from LORAAS.
- We plan to assimilate the COSMIC Data from
- GPS Radio Occultation Receivers
- Tiny Ionospheric Photometer (TIP)
- Tri Band Beacon (TBB)