scholarly journals An IGRF candidate main geomagnetic field model for epoch 2000 and a secular variation model for 2000–2005

2000 ◽  
Vol 52 (12) ◽  
pp. 1137-1148 ◽  
Author(s):  
Benoit Langlais ◽  
Mioara Mandea
Keyword(s):  
Secular Variation ◽  
Geomagnetic Field ◽  
Field Model ◽  
Geomagnetic Field Model ◽  
Secular Variation Model ◽  
Variation Model

scholarly journals Bulgarian Geomagnetic Reference Field (BulGRF) for 2015.0 and secular variation prediction model up to 2020

2017 ◽  
Vol 35 (5) ◽  
pp. 1085-1092
Author(s):  
Metodi Metodiev ◽  
Petya Trifonova
Keyword(s):  
Secular Variation ◽  
Geomagnetic Field ◽  
Field Model ◽  
Field Measurements ◽  
Reference Field ◽  
Main Field ◽  
Close Match ◽  
Secular Variation Model ◽  
Geomagnetic Field Models ◽  
Annual Means

Abstract. 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. The main field model is based on the well-known polynomial approximation in latitude and longitude of the geomagnetic field elements. The challenge in our modelling strategy was to update the absolute field geomagnetic data from 1980.0 up to 2015.0 using secular measurements unevenly distributed in time and space. As a result, our model gives a set of six coefficients for the horizontal H, vertical Z, total field F, and declination D elements of the geomagnetic field. The extrapolation of BulGRF to 2020 is based on an autoregressive forecasting of the Panagyurishte observatory annual means. Comparison of the field values predicted by the model with Panagyurishte (PAG) observatory annual mean data and two vector field measurements performed in 2015 shows a close match with IGRF-12 values and some difference with the real (measured) values, which is probably due to the influence of crustal sources. BulGRF proves to be a reliable alternative to the global geomagnetic field models which together with its simplicity makes it a useful tool for reducing magnetic surveys to a common epoch carried out over the Bulgarian territory up to 2020.

scholarly journals Recent geomagnetic secular variation from Swarm and ground observatories as estimated in the CHAOS-6 geomagnetic field model

2016 ◽  
Vol 68 (1) ◽  
Author(s):  
Christopher C. Finlay ◽  
Nils Olsen ◽  
Stavros Kotsiaros ◽  
Nicolas Gillet ◽  
Lars Tøffner-Clausen
Keyword(s):  
Secular Variation ◽  
Geomagnetic Field ◽  
Field Model ◽  
Geomagnetic Secular Variation ◽  
Geomagnetic Field Model

Dating of Holocene western Canadian Arctic sediments by matching paleomagnetic secular variation to a geomagnetic field model

2010 ◽  
Vol 29 (17-18) ◽  
pp. 2315-2324 ◽  
Author(s):  
F. Barletta ◽  
G. St-Onge ◽  
J.E.T. Channell ◽  
A. Rochon
Keyword(s):  
Secular Variation ◽  
Geomagnetic Field ◽  
Field Model ◽  
Canadian Arctic ◽  
Geomagnetic Field Model ◽  
Paleomagnetic Secular Variation

scholarly journals Prediction of geomagnetic field with data assimilation: a candidate secular variation model for IGRF-11

2010 ◽  
Vol 62 (10) ◽  
pp. 775-785 ◽  
Author(s):  
Weijia Kuang ◽  
Zigang Wei ◽  
Richard Holme ◽  
Andrew Tangborn
Keyword(s):  
Data Assimilation ◽  
Secular Variation ◽  
Geomagnetic Field ◽  
Secular Variation Model ◽  
Variation Model

Geomagnetic field model for the last 5 My: time-averaged field and secular variation

2002 ◽  
Vol 133 (1-4) ◽  
pp. 181-215 ◽  
Author(s):  
Tadahiro Hatakeyama ◽  
Masaru Kono
Keyword(s):  
Secular Variation ◽  
Geomagnetic Field ◽  
Field Model ◽  
Geomagnetic Field Model

scholarly journals Spatial-temporal modeling of the geomagnetic field for 1980–2000 period and a candidate IGRF secular-variation model for 2000–2005

2000 ◽  
Vol 52 (12) ◽  
pp. 1125-1135 ◽  
Author(s):  
V. P. Golovkov ◽  
T. N. Bondar ◽  
I. A. Burdelnaya
Keyword(s):  
Secular Variation ◽  
Geomagnetic Field ◽  
Temporal Modeling ◽  
Secular Variation Model ◽  
Variation Model

scholarly journals The CSES global geomagnetic field model (CGGM): an IGRF-type global geomagnetic field model based on data from the China Seismo-Electromagnetic Satellite

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Yanyan Yang ◽  
Gauthier Hulot ◽  
Pierre Vigneron ◽  
Xuhui Shen ◽  
Zeren Zhima ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Secular Variation ◽  
Geomagnetic Field ◽  
Field Model ◽  
Magnetic Data ◽  
Candidate Model ◽  
Main Field ◽  
Data Set ◽  
Geomagnetic Field Model ◽  
Time Period

AbstractUsing magnetic field data from the China Seismo-Electromagnetic Satellite (CSES) mission, we derive a global geomagnetic field model, which we call the CSES Global Geomagnetic Field Model (CGGM). This model describes the Earth’s magnetic main field and its linear temporal evolution over the time period between March 2018 and September 2019. As the CSES mission was not originally designed for main field modelling, we carefully assess the ability of the CSES orbits and data to provide relevant data for such a purpose. A number of issues are identified, and an appropriate modelling approach is found to mitigate these. The resulting CGGM model appears to be of high enough quality, and it is next used as a parent model to produce a main field model extrapolated to epoch 2020.0, which was eventually submitted on October 1, 2019 as one of the IGRF-13 2020 candidate models. This CGGM candidate model, the first ever produced by a Chinese-led team, is also the only one relying on a data set completely independent from that used by all other candidate models. A successful validation of this candidate model is performed by comparison with the final (now published) IGRF-13 2020 model and all other candidate models. Comparisons of the secular variation predicted by the CGGM parent model with the final IGRF-13 2020–2025 predictive secular variation also reveal a remarkable agreement. This shows that, despite their current limitations, CSES magnetic data can already be used to produce useful IGRF 2020 and 2020–2025 secular variation candidate models to contribute to the official IGRF-13 2020 and predictive secular variation models for the coming 2020–2025 time period. These very encouraging results show that additional efforts to improve the CSES magnetic data quality could make these data very useful for long-term monitoring of the main field and possibly other magnetic field sources, in complement to the data provided by missions such as the ESA Swarm mission.

scholarly journals CM6: a comprehensive geomagnetic field model derived from both CHAMP and Swarm satellite observations

2020 ◽  
Vol 72 (1) ◽  
Author(s):  
Terence J. Sabaka ◽  
Lars Tøffner-Clausen ◽  
Nils Olsen ◽  
Christopher C. Finlay
Keyword(s):  
Geomagnetic Field ◽  
Field Model ◽  
Satellite Observations ◽  
Geomagnetic Field Model ◽  
Swarm Satellite
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