Stochastic forecasting of the geomagnetic field from the COV-OBS.x1 geomagnetic field model, and candidate models for IGRF-12 [PDF]
Earth, Planets and Space, 2015 We present the geomagnetic field model COV-OBS.x1, covering 1840 to 2020, from which have been derived candidate models for the IGRF-12. Towards the most recent epochs, it is primarily constrained by first differences of observatory annual means and measurements from the Oersted, Champ, and Swarm satellite missions.
Gillet, Nicolas +2 more
openaire +4 more sources
A new high-resolution geomagnetic field model for southern Africa
South African Journal of ScienceEarth’s magnetic field is a dynamic, changing phenomenon. The geomagnetic field consists of contributions from several sources, of which the main field originating in Earth’s core makes up the bulk.
Amore E. Nel +3 more
doaj +2 more sources
Mathematical Model of the Geomagnetic Field [PDF]
, 2006 First comes a description of a mathematical model of the geomagnetic field. Then some discussion of the classical non-uniqueness results of Backus. Further we look at more recent results concerning reconstruction of the geomagnetic field from intensity and the normal component of the field. New stability estimate for this reconstruction is obtained.
Thorsen, Kjetil
core +3 more sources
Radiometric Constraints on the Timing, Tempo, and Effects of Large Igneous Province Emplacement
Geophysical Monograph Series, Page 27-82., 2021 Exploring the links between Large Igneous Provinces and dramatic environmental impact
An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Jennifer Kasbohm +2 more
wiley +2 more sources
The development of a regional geomagnetic daily variation model using neural networks [PDF]
Annales Geophysicae, 2000 Global and regional geomagnetic field models give the components of the geomagnetic field as functions of position and epoch; most utilise a polynomial or Fourier series to map the input variables to the geomagnetic field values.
P. R. Sutcliffe
doaj +1 more source
manojcnair/magnet-geomagnetic-field: MagNet competition winning solutions
, 2023 Winners of the MagNet: Model the Geomagnetic Field ...
Christine
core +1 more source
Modeling of regional magnetic field applying spherical functions: theoretical aspect
Геофизический журнал, 2019 Observation of geomagnetic field, measurement of its components values and establishment on their base models of geomagnetic field as well as geomagnetic mapping are the main trend of geomagnetic studies.
Yu. P. Sumaruk +2 more
doaj +1 more source
Bulgarian Geomagnetic Reference Field (BulGRF) for 2015.0 and secular variation prediction model up to 2020 [PDF]
Annales Geophysicae, 2017 The Bulgarian Geomagnetic Reference Field (BulGRF) for 2015.0 epoch and its secular variation model prediction up to 2020.0 is produced and presented in this paper.
M. Metodiev, P. Trifonova
doaj +1 more source
A gaussian model for simulated geomagnetic field reversals [PDF]
Physics of the Earth and Planetary Interiors, 2016 Field reversals are the most spectacular changes in the geomagnetic field but remain little understood. Paleomagnetic data primarily constrain the reversal rate and provide few additional clues. Reversals and excursions are characterized by a low in dipole moment that can last for some 10kyr.
Wicht, J., Meduri, D.
openaire +4 more sources
Winning code from the MagNet: Model the Geomagnetic Field challenge
, 2021 This repository contains code from winning competitors in the MagNet: Model the Geomagnetic Field challenge on DrivenData. The challenge was hosted by DrivenData and sponsored by NOAA with support from NASA. The code has been verified independently at
Trotta, Belinda +5 more
core +1 more source