Additional file 1 of Regional geomagnetic core field and secular variation model over the Iberian Peninsula from 2014 to 2020 based on the R-SCHA technique
Creators: name: Puente-Borque, Marina
name: Pavón-Carrasco, F. Javier
name: Núñez, Alberto
name: Tordesillas, José Manuel
name: Campuzano, Saioa A.
Publisher: name: figshare
Year: 2024
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer

description: Additional file 1: Table S1. Number of initial Swarm data (within the spatio-temporal area of interest) and after applying each filter together with the percentage reduction corresponding to each filtering step. Figure S1: Spatio-temporal distribution of the Swarm data resulting from filtering (light violet) and after decimation (dark violet). The columns correspond to the three satellites, SW-A, SW-B and SW-C and the rows to the latitude, longitude and time of the data. Note that the y-axis shows a logarithmic scale. Figure S2: 2D histograms of the RMS of the residual of the range of parameters, limited to RMS&lt;10. The stars indicate the value obtained as optimal in the Monte Carlo. a) Amplitude of the cap b) inner Kmax c) external Kmax d) Pmax e) Mmax f) Number of nodes (N) g) Lower limit of the cap (a) and h) Upper limit of the cap (b). Table S2: Final R-SCHA parameters. Table S3: Mean differences in the field components X, Y, Z and intensity F given by the R-SCHA model and the CHAOS and IGRF global models at surface height in 2020.0 over the cap. Table S4: Mean value ( $$\bar{X}$$ X ¯ , $$\bar{Y}$$ Y ¯ , $$\bar{Z}$$ Z ¯ and $$\bar{XYZ}$$ XYZ ¯ together) and standard deviation (σ) of the data-model residuals for the models R-SCHA, CHAOS-7.4 and IGRF-13 and satellite, observatory and repeat stations data. Figure S3: Histograms of the residuals of the X, Y and Z components of Swarm geomagnetic data with models a) R-SCHA b) CHAOS-7.4 and c) IGRF-13. Figure S4: Histograms of the residuals of the X, Y and Z components of the observatory geomagnetic data with models a) R-SCHA b) CHAOS-7.4 and c) IGRF-13. Figure S5: Histograms of the residuals of the X, Y and Z components of the repeat stations geomagnetic data with models a) R-SCHA b) CHAOS-7.4 and c) IGRF-13. Figure S6: Time evolution of the magnetic vector components a) X, b) Y and c) Z at the SPT observatory (39.55N, 4.35W). The grey dots show the values measured at the observatory and the green, blue and pink lines show the values synthesised by the IGRF-13, CHAOS-7.4 and R-SCHA models, respectively. Figure S7: Time evolution of the secular variation of the magnetic vector components a) X, b) Y c) Z and d) Intensity (F) at the SPT observatory (39.55N, 4.35W). The grey dots show the SV of the measured data at the observatory and the green, blue and pink lines show the values synthesised by the IGRF-13, CHAOS-7.4 and R-SCHA models, respectively. Figure S8: crustal magnetic intensity given by: a) the subtraction of the R-SCHA core field of the total field values of the mapping-station data, b) a Spherical Harmonic Model of Earth’s Lithospheric Magnetic Field up to Degree 1050 (Thébault et al., 2021) and c) the second version of the World Digital Magnetic Anomaly Map (WDMAM; Lesur et al., 2016).