scispace - formally typeset
A

Andrew Tangborn

Researcher at University of Maryland, Baltimore County

Publications -  44
Citations -  3181

Andrew Tangborn is an academic researcher from University of Maryland, Baltimore County. The author has contributed to research in topics: Data assimilation & Earth's magnetic field. The author has an hindex of 17, co-authored 41 publications receiving 2665 citations. Previous affiliations of Andrew Tangborn include University of Baltimore & George Washington University.

Papers
More filters
Journal ArticleDOI

International Geomagnetic Reference Field: the 12th generation

TL;DR: The 12th generation of the International Geomagnetic Reference Field (IGRF) was adopted in December 2014 by the Working Group V-MOD appointed by the International Association of Geomagnetism and Aeronomy (IAGA) as discussed by the authors.
Journal ArticleDOI

International Geomagnetic Reference Field: the eleventh generation

Abstract: The eleventh generation of the International Geomagnetic Reference Field (IGRF) was adopted in December 2009 by the International Association of Geomagnetism and Aeronomy Working Group V-MOD. It updates the previous IGRF generation with a definitive main field model for epoch 2005.0, a main field model for epoch 2010.0, and a linear predictive secular variation model for 2010.0–2015.0. In this note the equations defining the IGRF model are provided along with the spherical harmonic coefficients for the eleventh generation. Maps of the magnetic declination, inclination and total intensity for epoch 2010.0 and their predicted rates of change for 2010.0–2015.0 are presented. The recent evolution of the South Atlantic Anomaly and magnetic pole positions are also examined.
Journal ArticleDOI

International Geomagnetic Reference Field: the thirteenth generation

Patrick Alken, +73 more
TL;DR: The International Geomagnetic Reference Field (IGRF) was adopted by the IGA Division V Working Group (V-MOD) in 2019 as discussed by the authors, which provides the equations defining the IGRF, the spherical harmonic coefficients for this thirteenth generation model, maps of magnetic declination, inclination, and total field intensity for the epoch 2020.0, and maps of their predicted rate of change for the 2020 to 2025.0 time period.
Journal ArticleDOI

An Introduction to Data Assimilation and Predictability in Geomagnetism

TL;DR: This article reviews the current status of the knowledge of core dynamics, and elaborate on the reasons which motivate geomagnetic data assimilation studies, including the prospect to propagate the current quality of data backward in time to construct dynamically consistent historical core field and flow models, and the possibility to improve the forecast of the secular variation.