Japan Geoscience Union Meeting 2019

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI30] Data assimilation: A fundamental approach in geosciences

Wed. May 29, 2019 1:45 PM - 3:15 PM 104 (1F)

convener:Shin ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), SHINICHI MIYAZAKI(Graduate School of Science, Kyoto University), Takemasa Miyoshi(RIKEN), Chairperson:Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science), Shin'ya Nakano(情報・システム研究機構 統計数理研究所)

1:45 PM - 2:00 PM

[MGI30-01] Recent progresses and applications of geomagnetic data assimilation

★Invited Papers

*Julien Aubert1, Vincent Lesur1, Alexandre Fournier1, Gauthier Hulot1 (1.Institut de Physique du Globe de Paris, France)

Keywords:Geomagnetism, Numerical Simulations, Earth's core, data assimilation

Over the past ten years, numerical simulations of Earth’s core magnetohydrodynamics have advanced to a point where their output can be compared in detail to the geomagnetic field behaviour over time scales ranging from a few years to centuries. Motivated by this progress, geomagnetic data assimilation is an emerging discipline that aims at optimally combining the statistical output of such simulations with geomagnetic data. Among the many possible outcomes of this approach, the main goals are to infer the hidden dynamical properties of Earth’s core from the surface observations, forecast the future evolution of the geomagnetic field in a dynamically consistent way and at horizons of a few years to a century, and improve the quality of source separation in analyses of the geomagnetic field. We will present a few examples to emphasize the value added by statistics extracted from Earth-like geodynamo simulations when attempting to tackle these underdetermined geophysical inverse problems. We will also put these works in context of forthcoming contributions to the 13th iteration of the International Reference Geomagnetic Field (IGRF 2020).