Assimilative 3D Models of Density and Temperature in the Solar Corona

Details Assimilative 3D Models of Density and Temperature in the Solar Corona Assimilative 3D Models of Density and Temperature in the Solar Corona

Dec 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007agufmsh14b..02k&link_type=abstract

American Geophysical Union, Fall Meeting 2007, abstract #SH14B-02

Statistics

Computation

0520 Data Analysis: Algorithms And Implementation, 3245 Probabilistic Forecasting (3238), 3260 Inverse Theory, 6982 Tomography And Imaging (7270, 8180), 7509 Corona

Scientific paper

White-light and extreme ultraviolet images of the solar corona, as measured routinely by a variety of dedicated space- and ground-based instruments, offer an opportunity for empirical determination of the global, 3D distribution of density and temperature in the Sun's corona. In this work, we describe a 3D model for the estimation of coronal density from polarized brightness measurements and a coronal temperature model based on differential emission measure tomography. The computational solutions of the associated inverse problems, which utilize LASCO, MK-4, and EIT measurements at different solar rotation angles, yield reliable reconstructions of persistent, large-scale structures. The characterization of transient disturbances responsible for space weather phenomena, however, demands new developments in data assimilation and statistical estimation theory. We present a state-space framework capable of dynamically estimating the time-varying state of the corona. The 3D, time-dependent nature of the estimation scheme demands algorithms that scale well with the problem size. We describe recursive estimation techniques which dramatically reduce computational complexity and enable data-assimilative global models of the solar corona. Finally, implications for data assimilation with STEREO are discussed.

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