Presentation is loading. Please wait.

Presentation is loading. Please wait.

Global and Regional Total Electron Content Anthony Mannucci, Xing Meng, Panagiotis Vergados, Attila Komjathy JPL/Caltech Collaborators: Sarah E. McDonald,

Published byCorey Lucas Modified over 7 years ago

Similar presentations

Presentation on theme: "Global and Regional Total Electron Content Anthony Mannucci, Xing Meng, Panagiotis Vergados, Attila Komjathy JPL/Caltech Collaborators: Sarah E. McDonald,"— Presentation transcript:

1 Global and Regional Total Electron Content Anthony Mannucci, Xing Meng, Panagiotis Vergados, Attila Komjathy JPL/Caltech Collaborators: Sarah E. McDonald, John Emmert NRL 1 © 2016 All Rights Reserved. Government sponsorship acknowledged. CEDAR-GEM 2016 Ionosphere-Thermosphere Interactions: Modeling and Observations

2 Outline Key points from John’s presentation Regional test Global ionosphere maps (GIM) and thermosphere- ionosphere science June 24, 2016Iono-Thermo CEDAR 20162

3 Using GIM For Decade-Scale Investigations Changing station distribution Consistent processing Systematic error June 24, 2016Iono-Thermo CEDAR 20163

4 Station Distribution June 24, 2016Iono-Thermo CEDAR 20164 Determine bias between these runs Bias observed but acceptable for the science

5 Consistent Processing Reprocessed 35, 50 and 100 station distributions for 20-year period, each –“Fiducial” or “anchor” station approach to selecting station distribution –Station distribution could vary a little over time –Algorithm to select broad station spread was used Local time reference frame and temporal smoothing bridges spatial gaps effectively Daily GPS receiver and satellite bias estimation June 24, 2016Iono-Thermo CEDAR 20165

6 Global Mapping Algorithm June 24, 2016Iono-Thermo CEDAR 20166 is the measured biased slant TEC; (differential simulated measurements added for regularization) is the elevation scaling function, elevation E, iono height h is the horizontal basis function (C 2 local support, covers sphere uniformly); (lat, lon) is latitude and solar local time are the basis function coefficients solved for in the Kalman filter (stochastic parameter model), indexed by horizontal (i) indices; are the satellite and receiver instrumental biases. where Single shell model used Biases co-estimated with TEC daily One bias fixed for well-posedness Some solar cycle dependence to be expected E = 90° E = 10° zero Ratio determined by E change adjust

7 Regional Case Study: Daily Average June 24, 2016Iono-Thermo CEDAR 20167 StnYearsTEC ZIMM‘95-’968.1 ZIMM’08-’096.7 PIE1’95-’9610.5 PIE1’08-’098.5 Recent solar min period lower by 17%-19% Line of sight vertical TEC averaged using biases determined by GIM

8 Why A Global Map Product? June 24, 2016Iono-Thermo CEDAR 20168 http://cedar.openmadrigal.org/ E.g. widely available TEC data product from Madrigal (MIT Haystack Observatory) Advantages of GIM Global averaging is more consistent Strongly data-driven, minimal dependence on climatology Consistent bias processing Disadvantages of GIM No physical model Cannot be used for forecast

9 GIM Application: Mid-Latitude Trough June 24, 2016Iono-Thermo CEDAR 20169 Yizengaw, E., et al., “ The correlation between mid- latitude trough and the plasmapause, Geophys. Res. Lett., 2005. Global Ionospheric Maps (GIM), generated using ground based GPS receivers, are used to detect the globally extended mid-latitude trough; while global IMAGE EUV pictures are used to estimate the plasmapause position…The two independent observations (mid- latitude trough and plasmapause positions) and an empirical model have been compared on a global scale and found to be in excellent agreement.

10 Storm Study Using GIM and the Global Thermosphere Ionosphere Model (GITM) June 24, 2016Iono-Thermo CEDAR 201610 V N T |B| Bz Bx By SYM-H AE CIR April 2011 May 2012 OMNI data shows similar solar wind conditions for the two events: 1 hour shift GITM: Ridley et al., 2006

11 Differential TEC Maps June 24, 2016Iono-Thermo CEDAR 201611 GIM TEC map example – April 2011 7 quiet days before the event with daily Ap < 7 difference TEC difference TEC in %

12 GIM TEC Response June 24, 2016Iono-Thermo CEDAR 201612 00UT 30 April 2011 01UT 9 May 2012 2011 2012 During the April 2011 event, the maximum TEC disturbance (positive) occurs at 0 UT 04/30 over north pacific/US west coast region. Strong positive TEC disturbances > 50% lasts for about 4 hours For the May 2012 event, the maximum TEC disturbance (positive) occurs 1 hour later in a similar region, yet much weaker than in the April 2011 event.

13 TEC Response GITM June 24, 2016Iono-Thermo CEDAR 201613 04UT 01 May 2011 05UT 10 May 2012 00UT 30 April 2011 01UT 9 May 2012 No positive storm over north pacific GITM simulations of the two events share more similarities than in the GIM data Persistent equatorial negative TEC disturbances during most time in both events

14 Conclusions A 20-year GIM “reanalysis” has been developed as part of a project to understand long-term upper atmosphere change A carefully developed algorithm has unique advantages for a number of investigations Nevertheless, the possibility of systematic error must be rigorously addressed The GIM database will be made available as part of NASA-funded effort We are also using the maps as a tool in a study to understand TEC forecasting using the Global Ionosphere Thermosphere Model (GITM) June 24, 2016Iono-Thermo CEDAR 201614

Download ppt "Global and Regional Total Electron Content Anthony Mannucci, Xing Meng, Panagiotis Vergados, Attila Komjathy JPL/Caltech Collaborators: Sarah E. McDonald,"

Similar presentations

Modelling complexity in the upper atmosphere using GPS data Chris Budd, Cathryn Mitchell, Paul Spencer Bath Institute for Complex Systems, University of.

Modelling complexity in the upper atmosphere using GPS data Chris Budd, Cathryn Mitchell, Paul Spencer Bath Institute for Complex Systems, University of.
University of Bath 4D ionisation dynamics during storms of the recent solar maximum Cathryn Mitchell, Ping Yin, Paul Spencer and Dmitriy Pokhotelov, University.

University of Bath 4D ionisation dynamics during storms of the recent solar maximum Cathryn Mitchell, Ping Yin, Paul Spencer and Dmitriy Pokhotelov, University.
The day-to-day longitudinal variability of the global ionospheric density distribution: Preliminary results E.E. Pacheco and E. Yizengaw Institute for.

The day-to-day longitudinal variability of the global ionospheric density distribution: Preliminary results E.E. Pacheco and E. Yizengaw Institute for.
1 Effects of solar activity, co-rotating interaction regions, and climate change on thermospheric density during the solar cycle 23/24 minimum Stan Solomon.

1 Effects of solar activity, co-rotating interaction regions, and climate change on thermospheric density during the solar cycle 23/24 minimum Stan Solomon.
CISM All-hands Meeting Boulder, CO 15-17 Sept. 2008 CMIT Simulations of the Initial Phase of Geomagnetic Storms Wenbin Wang, Jiuhou Lei, Alan Burns, Stan.

CISM All-hands Meeting Boulder, CO Sept CMIT Simulations of the Initial Phase of Geomagnetic Storms Wenbin Wang, Jiuhou Lei, Alan Burns, Stan.
CEDAR Workshop, Boulder CO June 20-25, 2010 Statistical Analysis of COSMIC Derived Abel Profiles Jet Propulsion Laboratory California Institute of Technology.

CEDAR Workshop, Boulder CO June 20-25, 2010 Statistical Analysis of COSMIC Derived Abel Profiles Jet Propulsion Laboratory California Institute of Technology.
Introduction Air stagnation is a meteorological condition when the same air mass remains over an area for several days to a week. Light winds during air.

Introduction Air stagnation is a meteorological condition when the same air mass remains over an area for several days to a week. Light winds during air.
29 April 2011Viereck: Space Weather Workshop 2011 The Recent Solar Minimum: How Low Was It? What Were The Consequences? Rodney Viereck NOAA Space Weather.

29 April 2011Viereck: Space Weather Workshop 2011 The Recent Solar Minimum: How Low Was It? What Were The Consequences? Rodney Viereck NOAA Space Weather.
Abstract Since the ionosphere is the interface between the Earth and space environments and impacts radio, television and satellite communication, it is.

Abstract Since the ionosphere is the interface between the Earth and space environments and impacts radio, television and satellite communication, it is.
Space Weather Forecast Models from the Center for Integrated Space Weather Modeling The Solar Wind Forecast Model Carrington Rotation 1896Carrington Rotation.

Space Weather Forecast Models from the Center for Integrated Space Weather Modeling The Solar Wind Forecast Model Carrington Rotation 1896Carrington Rotation.
Introduction The primary geomagnetic storm indicator is the Dst index. This index has a well established ‘recipe’ by which ground-based observations are.

Introduction The primary geomagnetic storm indicator is the Dst index. This index has a well established ‘recipe’ by which ground-based observations are.
Geospace Variability through the Solar Cycle John Foster MIT Haystack Observatory.

Geospace Variability through the Solar Cycle John Foster MIT Haystack Observatory.
Introduction A new methodology is developed for integrating complementary ground-based data sources to provide consistent ozone vertical distribution time.

Introduction A new methodology is developed for integrating complementary ground-based data sources to provide consistent ozone vertical distribution time.
Total Electron Content 32N 115W, 2007-2009 Rachel Thessin, CSI 763, April 15, 2010.

Total Electron Content 32N 115W, Rachel Thessin, CSI 763, April 15, 2010.
Effects of ionospheric small- scale structures on GNSS G. WAUTELET Royal Meteorological Institute of Belgium Ionospheric Radio Systems & Techniques (IRST)

Effects of ionospheric small- scale structures on GNSS G. WAUTELET Royal Meteorological Institute of Belgium Ionospheric Radio Systems & Techniques (IRST)
GPS derived TEC Measurements for Plasmaspheric Studies: A Tutorial and Recent Results Mark Moldwin LD Zhang, G. Hajj, I. Harris, T. Mannucci, X. PI.

GPS derived TEC Measurements for Plasmaspheric Studies: A Tutorial and Recent Results Mark Moldwin LD Zhang, G. Hajj, I. Harris, T. Mannucci, X. PI.
UTSA Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) G. S. Bust and G. Crowley UTSA S. Datta-Barua ASTRA.

UTSA Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) G. S. Bust and G. Crowley UTSA S. Datta-Barua ASTRA.
How does the Sun drive the dynamics of Earth’s thermosphere and ionosphere Wenbin Wang, Alan Burns, Liying Qian and Stan Solomon High Altitude Observatory.

How does the Sun drive the dynamics of Earth’s thermosphere and ionosphere Wenbin Wang, Alan Burns, Liying Qian and Stan Solomon High Altitude Observatory.
5 th European Space Weather Week, 17-21 November 2008, Brussels Operational implementation of the SWIF model in DIAS system Tsagouri Ioanna Koutroumbas.

5 th European Space Weather Week, November 2008, Brussels Operational implementation of the SWIF model in DIAS system Tsagouri Ioanna Koutroumbas.
Sub-ionospheric Point hmhm Ionosphere Earth Surface Ionospheric Piercing Point High Resolution GPS-TEC Gradients in the Northern Hemisphere Ionospheric.

Sub-ionospheric Point hmhm Ionosphere Earth Surface Ionospheric Piercing Point High Resolution GPS-TEC Gradients in the Northern Hemisphere Ionospheric.

Similar presentations

Ads by Google