Evidence-based uncertainty estimates for the International Geomagnetic Reference Field

Author:

Beggan Ciarán D.ORCID

Abstract

AbstractThe International Geomagnetic Reference Field (IGRF) is a multi-institute model of the Earth’s magnetic field, compactly described by sets of up to 195 spherical harmonic (Gauss) coefficients to degree and order 13, which allows the continuous evaluation of the field at any location and time on or above the surface. It is developed from satellite and ground-based magnetometer data and describes the large-scale variation of the magnetic field in space and time under quiet conditions. While much effort has been made on improving the forecast of the secular variation of the field over the 5-year intervals between release and renewal, less emphasis has been placed on understanding the spatial errors from a user point of view. In this study, we estimate the large-scale time-invariant spatial uncertainty of the IGRF based on the globally averaged misfit of the model to ground-based measurements at repeat stations and observatories between 1980 and 2021. As the ground measurements are reduced to quiet-time values, the external field is minimized for the purposes of this study. We find the 68.3% confidence interval is 87 nT in the North (X) component, 73 nT in the East (Y) component and 114 nT in vertical (Z) component. Due to the Laplacian distribution of the residuals, the standard deviations are larger at 144, 136 and 293 nT, respectively. Graphical Abstract

Publisher

Springer Science and Business Media LLC

Subject

Space and Planetary Science,Geology

Reference22 articles.

1. Alken P, Thébault E, Beggan CD, Amit H, Aubert J, Baerenzung J, Bondar TN, Brown W, Califf S, Chambodut A, Chulliat A, Cox G, Finlay CC, Fournier A, Gillet N, Grayver A, Hammer MD, Holschneider M, Huder L, Hulot G, Jager T, Kloss C, Korte M, Kuang W, Kuvshinov A, Langlais B, Léger JM, Lesur V, Livermore PW, Lowes FJ, Macmillan S, Magnes W, Mandea M, Marsal S, Matzka J, Metman MC, Minami T, Morschhauser A, Mound JE, Nair M, Nakano S, Olsen N, Pavón-Carrasco FJ, Petrov VG, Ropp G, Rother M, Sabaka TJ, Sanchez S, Saturnino D, Schnepf NR, Shen X, Stolle C, Tangborn A, Tøffner-Clausen L, Toh H, Torta JM, Varner J, Vervelidou F, Vigneron P, Wardinski I, Wicht J, Woods A, Zeren Z, Yang Y, Zhou B (2021a) International geomagnetic reference field: the thirteenth generation. Earth Planets Space 73:49. https://doi.org/10.1186/s40623-020-01288-x

2. Alken P, Thébault E, Beggan CD, Aubert J, Baerenzung J, Brown W, Califf S, Chulliat A, Cox G, Finlay CC, Fournier A, Gillet N, Hammer MD, Holschneider M, Hulot G, Korte M, Lesur V, Livermore P, Lowes F, Macmillan S, Nair M, Olsen N, Ropp G, Rother M, Schnepf NR, Toh H, Vervelidou F, Vigneron P, Wardinski I (2021b) Evaluation of candidate models for the 13th generation International Geomagnetic Reference Field. Earth Planets Space 73:48

3. Barraclough DR, Harwood JM, Leaton BR, Malin SRC (1978) A definitive model of the geomagnetic field and its secular variation for 1965-I. Derivation of model and comparison with the IGRF. Geophys J Int 55(1):111–121. https://doi.org/10.1111/j.1365-246X.1978.tb04750.x

4. Beggan CD, Macmillan S, Brown WJ, Grindrod SJ (2021) Quantifying global and random uncertainties in high resolution global geomagnetic field models used for directional drilling. SPE Drilling Compl 36:603–612. https://doi.org/10.2118/204038-PA

5. Beggan Ciarán D, Billingham L, Clarke E (2018) Estimating external magnetic field differences at high geomagnetic latitudes from a single station. Geophys Prospect 166:1227–1240. https://doi.org/10.1111/1365-2478.12641

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