Hori, Tomoaki and Nishitani, Nozomu and Miyoshi, Yoshizumi and Miyashita, Yukinaga and Seki, Kanako and Segawa, Tomonori and Hosokawa, Keisuke and Yukimatu, A.S. and Tanaka, Yoshimasa and Sato, Natuo and Kunitake, Manabu and Nagatsuma, Tsutomu (2013) An integrated analysis platform merging SuperDARN data within the THEMIS tool developed by ERG-Science Center (ERG-SC). Advances in Polar Science, 24 (1). pp. 69-77.
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Abstract
The Energization and Radiation in Geospace (ERG) mission seeks to explore the dynamics of the radiation belts in the Earth’s inner magnetosphere with a space-borne probe (ERG satellite) in coordination with related ground observations and simulations/ modeling studies. For this mission, the Science Center of the ERG project (ERG-SC) will provide a useful data analysis platform based on the THEMIS Data Analysis software Suite (TDAS), which has been widely used by researchers in many conjunction studies of the Time History of Events and Macroscale Interactions during Substorms (THEMIS) spacecraft and ground data. To import SuperDARN data to this highly useful platform, ERG-SC, in close collaboration with SuperDARN groups, developed the Common Data Format (CDF) design suitable for fitacf data and has prepared an open database of SuperDARN data archived in CDF. ERG-SC has also been developing programs written in Interactive Data Language (IDL) to load fitacf CDF files and to generate various kinds of plots−not only range-time-intensity-type plots but also two-dimensional map plots that can be superposed with other data, such as all-sky images of THEMIS-GBO and orbital footprints of various satellites. The CDF-TDAS scheme developed by ERG-SC will make it easier for researchers who are not familiar with SuperDARN data to access and analyze SuperDARN data and thereby facilitate collaborative studies with satellite data, such as the inner magnetosphere data provided by the ERG (Japan)−RBSP (USA)−THEMIS (USA) fleet.
Item Type: | Article |
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Related URLs: | |
Keywords: | ERG Science Center, SuperDARN, database, data analysis software, THEMIS, Common Data Format |
Subjects: | Natural Environment > Space |
Organizations: | Unspecified |
Date Deposited: | 27 Sep 2023 10:52 |
URI: | http://library.arcticportal.org/id/eprint/2481 |
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