Study of an Improved Comprehensive Magnetic Field Inversion Analysis for Swarm MTR, E2Eplus Study Work performed by Nils Olsen, Terence J. Sabaka, Luis.

Slides:



Advertisements
Similar presentations
Near real time assessment of the Space Weather effect on navigation based on the DGPS technique S.Lejeune, R.Warnant, A. Barré, M. Bavier Royal Observatory.
Advertisements

4 th Swarm DQW – Magnetic Session 23 Dec 2014Potsdam (D) ELM – “EXTENDED” LESUR MODEL OF DISTURBANCE CHARACTERISATION AND VFM CALIBRATION Lars Tøffner-Clausen,
The General Linear Model Or, What the Hell’s Going on During Estimation?
Coestimating models of the large-scale internal, external, and corresponding induced Hermean magnetic fields Michael Purucker and Terence Sabaka Raytheon.
Separating internal geomagnetic secular variation and long-term magnetospheric field variations Monika Korte Deutsches GeoForschungsZentrum GFZ.
Prepared by: MORE Team MORE Relativity Meeting February 16-17, 2009 Rome Simulation of the solar conjunction experiment with BepiColombo.
Transverse optics 2: Hill’s equation Phase Space Emittance & Acceptance Matrix formalism Rende Steerenberg (BE/OP) 17 January 2012 Rende Steerenberg (BE/OP)
Karla Vega University of California, Berkeley Attitude Determination and Control 6/9/2015.
Space Weather influence on satellite based navigation and precise positioning R. Warnant, S. Lejeune, M. Bavier Royal Observatory of Belgium Avenue Circulaire,
CPI International UV/Vis Limb Workshop Bremen, April Development of Generalized Limb Scattering Retrieval Algorithms Jerry Lumpe & Ed Cólon.
GTECH 201 Session 08 GPS.
4 th Swarm QWG Meeting 2 – 5 December 2014GFZ Potsdam/D On Calibrating the Magnetometry Package Data Nils Olsen, DTU Space.
J. Ebbing & N. Holzrichter – University of Kiel Johannes Bouman – DGFI Munich Ronny Stolz – IPHT Jena SPP Dynamic EarthPotsdam, 03/04 July 2014 Swarm &
Predictions of Solar Wind Speed and IMF Polarity Using Near-Real-Time Solar Magnetic Field Updates C. “Nick” Arge University of Colorado/CIRES & NOAA/SEC.
Principles of the Global Positioning System Lecture 11 Prof. Thomas Herring Room A;
Modern Navigation Thomas Herring MW 11:00-12:30 Room
GRD - Collimation Simulation with SIXTRACK - MIB WG - October 2005 LHC COLLIMATION SYSTEM STUDIES USING SIXTRACK Ralph Assmann, Stefano Redaelli, Guillaume.
Gravity I: Gravity anomalies. Earth gravitational field. Isostasy.
MTR, swarm E2E study, Nov 11, 2003, DSRI Copenhagen, nio #1 7-Sep-15 swarm End-To-End Mission Performance Study Mid Term Review The swarm E2E Consortium.
Study of an Improved Comprehensive Magnetic Field Inversion Analysis for Swarm PM1, E2Eplus Study Work performed by Nils Olsen, Terence J. Sabaka, Luis.
4 th Swarm QWG Meeting 2 – 5 December 2014GFZ Potsdam/D Data Selection Model Parameterization Results: Statistics, Lithospheric Field, Core Field Perspective.
Kick off meeting, swarm E2E study, nio #1 8-Sep-15 Development Approach Task 1: Industrial Module –to be used by industry for their system simulation –Output:
Icebase: A proposed suborbital survey to map geothermal heat flux under an ice sheet Michael Purucker SGT at Planetary Geodynamics Lab, Goddard Space Flight.
COST 724:Developing the scientific basis for monitoring, modelling and predicting Space Weather Sofia meeting, May 2007 Space Weather Definition This is.
The Intrinsic Magnetic Field of Saturn: A Special One or an Averaged One? H. Cao, C. T. Russell, U. R. Christensen, M. K. Dougherty Magnetospheres of the.
Centro de Estudos e Sistemas Avançados do Recife PMBOK - Chapter 4 Project Integration Management.
How Does GPS Work ?. Objectives To Describe: The 3 components of the Global Positioning System How position is obtaining from a radio timing signal Obtaining.
Secular variation in Germany from repeat station data and a recent global field model Monika Korte and Vincent Lesur Helmholtz Centre Potsdam, German Research.
Estimating currents and electric fields in the high-latitude ionosphere using ground- and space-based observations Ellen Cousins 1, Tomoko Matsuo 2,3,
Modern Navigation Thomas Herring
Lecture 20: More on the deuteron 18/11/ Analysis so far: (N.B., see Krane, Chapter 4) Quantum numbers: (J , T) = (1 +, 0) favor a 3 S 1 configuration.
Computational Model of Energetic Particle Fluxes in the Magnetosphere Computer Systems Yu (Evans) Xiang Mentor: Dr. John Guillory, George Mason.
Final Presentation, Swarm E2E study, June 18, 2004, ESTEC, nio #1 1-Nov-15 Swarm End-To-End Mission Performance Study Final Presentation The Swarm E2E.
World Meteorological Organization Working together in weather, climate and water WMO OMM WMO WMO Space Programme UPDATE ON THE WMO DOSSIER.
GP33A-06 / Fall AGU Meeting, San Francisco, December 2004 Magnetic signals generated by the ocean circulation and their variability. Manoj,
Swarm ASM-VFM meeting 9-10 Apr 2015ESTEC (NL) Ideas for improving the disturbance model or Welcome to the Null-Space! Nils Olsen, Lars Tøffner-Clausen,
Oceanic Magnetic Fields Robert Tyler -Planetary Geodynamics Branch, NASA Goddard Space Flight Center -Astronomy Department, University of Maryland College.
Guan Le NASA Goddard Space Flight Center Challenges in Measuring External Current Systems Driven by Solar Wind-Magnetosphere Interaction.
Environmental and Exploration Geophysics I tom.h.wilson Department of Geology and Geography West Virginia University Morgantown,
V.G.Wimalasena Principal School of Radiography
J. Pfingstner Imperfections tolerances for on-line DFS Improved imperfection tolerances for an on-line dispersion free steering algorithm Jürgen Pfingstner.
C H A M P International Laser Ranging Service - General Assembly, October 2005 Eastbourne, UK L. Grunwaldt, R. Schmidt, D. König, R. König, F.-H. Massmann.
Study on the Impact of Combined Magnetic and Electric Field Analysis and of Ocean Circulation Effects on Swarm Mission Performance by S. Vennerstrom, E.
Recall that the proton precession magnetometer makes measurements of the total field, not the vector components of the field. Recall also that the total.
Future China Geomagnetism Satellite Mission (CGS) Aimin Du Institute of Geology and Geophysics, CAS 2012/11/18 Taibei.
Earth’s Dynamic Magnetic Field: The State of the Art Comprehensive Model Terence J. Sabaka Geodynamics Branch NASA/GSFC with special thanks to Nils Olsen.
12 Aug 04 jonathan kingIEEE802.3aq Channel model ad hoc Task 2: Time variation and modal noise 1 Task 2 update: Time variation and modal noise study.
STSE Swarm + Innovation Science Study: MTR Meeting Magnetic Tidal Signals and Their Use in Mapping the Electrical Conductivity of the Lithosphere and Upper.
Sensitivity Analysis and Building Laterally-Variable Ocean Conductivity Grid 1 N. R. Schnepf (UoC/CIRES) C. Manoj (UoC/CIRES) A. V. Kuvshinov (ETHZ)
STSE Tides to Sense Earth, MTR 25 January 2016DTU, Lyngby/DK REPORT ON WP2X00: TIDAL SIGNAL RECOVERY USING THE COMPREHENSIVE INVERSION (CI) RESULTS FROM.
Astronomical Institute University of Bern Astronomical Institute, University of Bern Swarm Gravity Field Results with the CMA Adrian Jäggi, Daniel Arnold,
Geology 5660/6660 Applied Geophysics 1 Apr 2016 © A.R. Lowry 2016 For Mon 4 Apr: Burger (§ ) Last Time: Magnetics (Measurement, Anomalies)
5 th Swarm Data Quality Workshop 7 – 10 September 2015IPG Paris/F About ESL Level 2 Processing and Data Products Some Selected Science Results Plasma depletion.
5 th Swarm Data Quality Workshop 7 – 10 September 2015IPG Paris/F PRELIMINARY NEW VERSION OF THE COMPREHENSIVE INVERSION (CI) LEVEL-2 PRODUCTS Terence.
Geology 5660/6660 Applied Geophysics 30 Mar 2016
Progress in CLIC DFS studies Juergen Pfingstner University of Oslo CLIC Workshop January.
Magnetic Measurement Expert Group10-11 March 2016Warsaw / PL MAGNETOMETER – STAR-IMAGER ALIGNMENT: APPARENT EULER ANGLE VARIATION DUE TO MAGNETOSPHERIC.
Summary of Session 2M Swarm 5th Data Quality Workshop
Magnetic Splinter Meeting
Rapid core field variations just before Swarm
Danish National Space Center, Copenhagen, Denmark
Summary of part of L2 session
The Swarm D NanoMagSat project Latest News
swarm End-To-End Mission Performance Study Working meeting on Task 2
Consistent Ocean Mass Time Series from LEO Potential Field Missions
New "quite time" concept: application to Champ lithospheric field modelling Nils Olsen, Jesper Gjerløv & Co.
Retrieval Analysis and Methodologies in Atmospheric Limb Sounding Using the GNSS Radio Occultation Technique PhD Defence by Stig Syndergaard.
Summary & recommendations multi-mission synergies session 9
Future Opportunities in Geomagnetism and Electromagnetism:
Session 5: Higher level products (Internal)
Presentation transcript:

Study of an Improved Comprehensive Magnetic Field Inversion Analysis for Swarm MTR, E2Eplus Study Work performed by Nils Olsen, Terence J. Sabaka, Luis R. Gaya-Pique, Lars Tøffner-Clausen, and Alexei Kuvshinov, Presented by: Nils Olsen

26. June 2006 | MTR E2Eplus | page 2 Draft Agenda Swarm E2Eplus Mid Term Review, June , at ESTEC, Noordwijk 11:00 Welcome 11:05 Presentation of activities done so far (NIO) Summary of activities already presented at PM1 Forward calculation, Constellations #3 and #4 Results of Gradient Approach First results of multi-satellite in-flight alignment List of failure and imperfection cases Plans for the near future 13:00 lunch 14:00 General discussion Telecon with Terence J. Sabaka and L. R. Gaya-Pique, GSFC 17:00 Adjourn

26. June 2006 | MTR E2Eplus | page 3 E2Eplus Study Logic Status of June 2006: New, fast orbit generation scheme Gradient approach Multi-satellite alignment (tests partly concluded)

26. June 2006 | MTR E2Eplus | page 4 Forward calculation Constellation #3 and #4

26. June 2006 | MTR E2Eplus | page 5 Fast Orbit Prediction –circular near-polar orbits –realistic drift in local time –realistic altitude decay (solar activity effects …) –realistic maintenance of constellation Validation of method with CHAMP orbits

26. June 2006 | MTR E2Eplus | page 6 Constellation #3 and #4 Constellation #3 –Essentially similar to constellation #2, but using new orbit propagation method –Data only used for test purposes. This constellation will not be considered further Constellation #4 –Launch on July 1, 1998 (1.5 years later than in Phase A, to account for launch delay) –InclinationSwarm A+B: 87.4º Swarm C: 88.0º –Initial altitude:450 km (A+B) and 530 km (C) –Longitudinal difference between Swarm A and B: 1.4º

26. June 2006 | MTR E2Eplus | page 7 Solar and geomagnetic activity

26. June 2006 | MTR E2Eplus | page 8 Orbit decay for Swarm A, for various launch times

26. June 2006 | MTR E2Eplus | page 9 Local Time and altitude evolution, constellation #4

26. June 2006 | MTR E2Eplus | page 10 Impact of higher sampling rate on lithospheric field recovery

26. June 2006 | MTR E2Eplus | page 11 Re-analysis of Constellation #2 data

26. June 2006 | MTR E2Eplus | page 12 The Gradient Method in the Comprehensive Inversion Approach

26. June 2006 | MTR E2Eplus | page 13 “Selective Infinite Variance Weighting” Development of an approach that produces/identifies data subsets that are particularly sensitive to certain parameter subsets and applying appropriate weighting such that these data strongly influence the determination of such parameters –Example: high-order crustal field is resolved by gradient information (data difference) low-order field is resolved by all data d 1, d 2, d 3 are data of Swarm 1,2,3 d s, d d, are sum and difference of Swarm 1,2 x is all model parameters but crustal field (sensed by all satellites ) y l is low-order crustal field (sensed by d s, d d, d 3 ) y h is high-order crustal field (sensed by d d )

26. June 2006 | MTR E2Eplus | page 14 Results: Gradient approach Difference data contribute only to lithospheric field coefficients of order m > 20 All data (sums and differences) contribute to all other coefficients

26. June 2006 | MTR E2Eplus | page 15 Results: Gradient approach

26. June 2006 | MTR E2Eplus | page 16 Multi-Satellite In-flight Alignment

26. June 2006 | MTR E2Eplus | page 17 The principle of in-flight alignment Model parameters: SHA expansion coefficients g n m, h n m Euler angles  New: CI approach B NEC includes all relevant contributions to Earth’s magnetic field: internal and external potential fields plus toroidal fields Simultaneous estimation of the Euler angles for all Swarm satellites

26. June 2006 | MTR E2Eplus | page 18 Tests Data from all 3 satellites (constellation #4) Solved for 3 x 3 Euler angles plus magnetic field model Only solved for the contributions that are included in the synthetic data Test 1: core field only (up to n=13, temporal variation described by splines) Test 2: lithospheric field (up to n=150) added Test 3: magnetospheric (primary and induced field) added  Test 4: ionospheric (primary and induced field) added  Test 5: toroidal field added Tests 1 – 3 successfully completed (near perfect recovery of core and lithospheric field and Euler angles) Test 4 partly completed (good recovery of core and lithospheric field, but retrieved Euler angles are different from the true ones)

26. June 2006 | MTR E2Eplus | page 19 Result of Test 3 Input data contain core, lithospheric and magnetospheric (primary and induced) field Difference between true and retrieved Euler angles < 1 arcsec

26. June 2006 | MTR E2Eplus | page 20 Result of Test 4 Input data contain static internal field (n = 1-150, no SV!) and ionospheric plus magnetospheric (primary and induced) field Difference between true and retrieved Euler angles:  Swarm A Swarm B Swarm C

26. June 2006 | MTR E2Eplus | page 21 Result of Test 4 Spectra of model differences

26. June 2006 | MTR E2Eplus | page 22 Plans for the near Future Further tests of the multi-satellite alignment –Inclusion of ionospheric field: what went wrong, if anything? –Inclusion of toroidal fields (first tests completed) The Great Unified Code: Combination of gradient and multi-satellite approach –Tests Application to various imperfection and failure scenarii

26. June 2006 | MTR E2Eplus | page 23 Failure and Imperfection Cases 1.Failure of VFM and/or STR on a single satellite a)Only scalar (no vector) data available for Swarm A b)Only scalar (no vector) data available for Swarm C 2.Impact of a S/C magnetic field on a single satellite (Swarm A) a)Constant S/C dipole moment (hard magnetization), corresponding to 2 nT at the location of the ASM b)Induced S/C dipole moment (soft magnetization), corresponding to 3 nT at the location of the ASM over the poles (i.e. the area of maximum Earth’s magnetic field strength) 3.Noise in the CRF attitude of a single satellite (Swarm A) a)Time dependent attitude noise (all components) 2 sin(  t) arcsecs + 10 sin(2  T/24) arcsecs where t is UT,  is orbital frequency, and T is Local Time in hours. 4.Failure of one or more satellite (extension of Phase A analysis) a)Magnetic data from all 3 satellites (Swarm A, B and C) b)Magnetic data from (Swarm A and C) only c)Magnetic data from (Swarm A and B) only d)Magnetic data from (Swarm A) only

26. June 2006 | MTR E2Eplus | page 24

26. June 2006 | MTR E2Eplus | page 25 Work Breakdown Structure

26. June 2006 | MTR E2Eplus | page 26 Updated list of proposed Meetings and Deliverables Meeting PlaceParticipantsPlanned DateDeliverables Kick-Off Meeting (KO)DNSCAllJanuary 27, Progress Meeting 1DNSC2March 29, Midterm Review (MTR)ESTEC2June 26, 2006Draft report Progress Meeting 2DNSC2October Final Presentation (FP)ESTEC4December 2006Final report