the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Application of Generalized – Aurora Computed Tomography to the EISCAT_3D project
Abstract. EISCAT_3D is a project to build a multiple-site phased-array incoherent scatter radar system in northern Fenno-Scandinavia. We demonstrate via numerical simulation how useful monochromatic images taken by a multi-point imager network are for auroral research in the EISCAT_3D project. We apply the generalized-aurora computed tomography (G-ACT) method to modelled observational data from real instruments, such as the Auroral Large Imaging System (ALIS) and the EISCAT_3D radar. The G-ACT is a method for reconstructing the three-dimensional (3D) distribution of auroral emissions and ionospheric electron density (corresponding to the horizontal two-dimensional (2D) distribution of energy spectra of precipitating electrons) from multi-instrument data. It is assumed that the EISCAT_3D radar scans an area of 0.8° in geographic latitude and 3° in longitude at an altitude of 130 km with 10×10 beams from the radar core site at Skibotn (69.35° N, 20.37° E). Two neighboring discrete arcs are assumed to appear in the observation region of the EISCAT_3D radar. The reconstruction results from the G-ACT are compared with those from the normal ACT as well as the ionospheric electron density from the radar. It is found that the G-ACT can interpolate the ionospheric electron density at a much higher spatial resolution than that observed by the EISCAT_3D radar. Furthermore, the multiple arcs reconstructed by the G-ACT are more precise than those by the ACT. Even when the ACT reconstruction is difficult due to the unsuitable locations of the imager sites relative to the discrete arcs and/or a small number of available images, the G-ACT allows us to obtain better reconstruction results.
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Status: closed
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RC1: 'Comment on angeo-2023-35', M.J. Kosch, 05 Dec 2023
The manuscript demonstrates that it should be possible to use generalized aurora computed tomography to reconstruction the electron density over an area of the ionosphere using multiple simultaneous optical images, thereby extending the radar observations thereof. The manuscript is generally well-written and comprehensive. The paper is nearly ready for publication with a few minor revisions described below:
L211: "artifact" should be "artefact". More importantly, the non-expert eye cannot know where the artefact in Figure 5 is. Please describe it or point it out clearly.
L215: "significantly improved", L217: "better improved", L269: "greatly improved", L271: "better improved", L288: "much lower" are all subjective statements. "significantly", "better", "greatly" and "much" mean different things to different readers. The authors should quantify what they mean by these subjective descriptors please.
Citation: https://doi.org/10.5194/angeo-2023-35-RC1 - AC1: 'Reply on RC1', Yoshimasa Tanaka, 20 Dec 2023
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RC2: 'Comment on angeo-2023-35', Anonymous Referee #2, 22 Jan 2024
- AC2: 'Reply on RC2', Yoshimasa Tanaka, 09 Feb 2024
Status: closed
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RC1: 'Comment on angeo-2023-35', M.J. Kosch, 05 Dec 2023
The manuscript demonstrates that it should be possible to use generalized aurora computed tomography to reconstruction the electron density over an area of the ionosphere using multiple simultaneous optical images, thereby extending the radar observations thereof. The manuscript is generally well-written and comprehensive. The paper is nearly ready for publication with a few minor revisions described below:
L211: "artifact" should be "artefact". More importantly, the non-expert eye cannot know where the artefact in Figure 5 is. Please describe it or point it out clearly.
L215: "significantly improved", L217: "better improved", L269: "greatly improved", L271: "better improved", L288: "much lower" are all subjective statements. "significantly", "better", "greatly" and "much" mean different things to different readers. The authors should quantify what they mean by these subjective descriptors please.
Citation: https://doi.org/10.5194/angeo-2023-35-RC1 - AC1: 'Reply on RC1', Yoshimasa Tanaka, 20 Dec 2023
-
RC2: 'Comment on angeo-2023-35', Anonymous Referee #2, 22 Jan 2024
- AC2: 'Reply on RC2', Yoshimasa Tanaka, 09 Feb 2024
Data sets
Dataset for simulation study on generalized-aurora computed tomography Yoshimasa Tanaka https://polaris.nipr.ac.jp/~ytanaka/AnnGeo/dataset.zip
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