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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. Danish Space Research Institute. Outline. Introduction Data Parameterization Estimation Results Conclusions.
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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 Danish Space Research Institute
Outline • Introduction • Data • Parameterization • Estimation • Results • Conclusions
Nature of near-Earth Magnetic Fields • Core • Motion of conductive outer core fluid • 30,000-50,000 nT • Changes on order of centuries • Ionosphere • Dynamo layer between 100-140 km altitude in the E-region • 10-50 nT at surface • EEJ is from enhanced eastward current at dip equator
Nature of near-Earth Magnetic Fields • Magnetosphere • Magnetopause, tail and ring currents • 20-30 nT at surface • Broad scale, but rapidly changing • FACs • Connect ionosphere with magnetosphere at high latitudes in the F-region • 30-100 nT during quiet times
Nature of near-Earth Magnetic Fields • Lithosphere • Rigid portion of crust above Curie temperature • Induced and remanent • Up to 20 nT at satellite altitude • Induced fields • Time varying external fields influencing conductive material in Earth skin layer • Magnitude depends upon inducing period
Terrestrial Magnetic Field Applications • Orientation/Reckoning • Used by satellites including GPS • Navigation systems • Geophysical prospecting • Aeromagnetic surveys • Towed by ships • Military targets • Deep Earth probing • Space weather
Comprehensive Approach to Modelling Terrestrial Fields • Method • Parameterize fields from all major near- Earth sources • Coestimate these parameters by solving an inverse problem • Use satellite vector/scalar and ground- based observatory hourly-means data • Advantages • Optimal for frequency overlap • More feasible than treating fields as noise
Data Used for Modelling • Satellites • POGO – 1965-1971, scalar only, elliptic • Magsat – 1980, vector, six months duration, only dawn and dusk, 450 km • Oersted – 1999-present, vector, 750 km • CHAMP – 2001-present, vector, 400 km • Observatories • Several hundred, continuous, but poorly distributed • Vector hourly-mean values
Recent Satellite Magnetic Mapping Missions Oersted – vector and scalar at ~ 750 km CHAMP – vector and scalar at ~ 400 km
Maxwell’s Equations Ampere’s Law Absence of magnetic monopoles Faraday’s Law Gauss’ Law
Potential Fields (zero J) (Laplace Eqn) (Internal) (External)
Absence of Monopoles Internal: n = 0 term violates Maxwell’s monopole equation at origin O External: n = 0 term is constant, doesn’t contribute
Spherical Harmonic Functions (Ynm ) n=6, m=0 n=6, m=3 n=6, m=6
Toroidal Fields (non-zero J in thin shells) Vector potential Toroidal only Toroidal scalar
Parameterizing Core and Lithospheric Fields • Core • Broad scale, dominates n = 1-14 • Secular variation (SV) represented by cubic B-spline functions • Lithosphere • All spatial scales, but breaks from core Rn at about n = 15 • Modelled as n = 15-65 • Considered static • Vector biases solved for at observatories
External Field Current Systems ionospheric current systems magnetospheric ring-current
Parameterizing Ionospheric E-region Field • Primary • Assume currents flow in sheet at 110 km • Use potential functions conforming to quasi-dipole (QD) coordinates defined by DGRF1980 • Diurnal and seasonal variation • Solar activity via scaling by F10.7 cm flux • Induced • A priori 1-D conductivity model (4-layer) • Infinite conductor at 1000 km depth
Parameterizing Magnetospheric Field • Primary • Distant currents not differentiated • Potential functions in dipole coordinates • Diurnal and seasonal variation • Ring current activity via linear dependence of external dipole on Dst index • Induced • Same as for E-region • Internal dipole also linear in Dst
Parameterizing Ionospheric F-region Field • Magsat (vector only) • Modelled separately for dawn and dusk • Assume QD meridional currents • Use toroidal functions conforming to QD coordinates • Seasonal variation • Oersted (vector only) • Same as above, but single model with diurnal variation
Ionospheric F-region Currents • Field-aligned currents (FACs) connect ionosphere and magnetosphere in polar region • Meridional currents associated with the equatorial electrojet (EEJ)
Estimation of CM Parameters via Iterative Gauss Method • Solves non-linear LS problems • Fast convergence • Cheaper than Newton method • Allows for A priori information • Smooth core SV • Eliminate nightside E-region current • Damp excursions from LT external dipole • Smooth F-region current
Conclusions • Present • CMs are only models accounting for all these field sources • CMs are separating fields in a consistent and plausible manner • Future • More realistic conductivity models • Better treatment of magnetospheric fields • Increased use of CMs for applications