An integrated analysis platform merging SuperDARN data within the THEMIS tool developed by ERG-Science Center (ERG-SC)
| Autor: | Hori Tomoaki, Kunitake Manabu, Seki Kanako, Miyashita Yukinaga, Nishitani Nozomu, Tanaka Yoshimasa, Hosokawa Keisuke, Nagatsuma Tsutomu, Sato Natsuo, Segawa Tomonori, Miyoshi Yoshizumi, S Yukimatu Akira |
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| Rok vydání: | 2014 |
| Předmět: |
Atmospheric Science
geography geography.geographical_feature_category Ecology Spacecraft business.industry Magnetosphere Geology Oceanography symbols.namesake Erg (landform) Time history Van Allen radiation belt symbols Satellite Center (algebra and category theory) Common Data Format business Remote sensing |
| Zdroj: | ADVANCES IN POLAR SCIENCE. 24:69-77 |
| ISSN: | 1674-9928 |
| Popis: | The Energization and Radiation in Geospace (ERG) mission seeks to explore the dynamics of the radiation belts in theEarth’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 analysisplatform based on the THEMIS Data Analysis software Suite (TDAS), which has been widely used by researchers in many conjunctionstudies of the Time History of Events and Macroscale Interactions during Substorms (THEMIS) spacecraft and grounddata. To import SuperDARN data to this highly useful platform, ERG-SC, in close collaboration with SuperDARN groups, developedthe Common Data Format (CDF) design suitable for fitacf data and has prepared an open database of SuperDARN data archivedin CDF. ERG-SC has also been developing programs written in Interactive Data Language (IDL) to load fitacf CDF filesand to generate various kinds of plots.not only range-time-intensity-type plots but also two-dimensional map plots that can besuperposed with other data, such as all-sky images of THEMIS-GBO and orbital footprints of various satellites. The CDF-TDASscheme developed by ERG-SC will make it easier for researchers who are not familiar with SuperDARN data to access and analyzeSuperDARN data and thereby facilitate collaborative studies with satellite data, such as the inner magnetosphere data providedby the ERG (Japan).RBSP (USA).THEMIS (USA) fleet. |
| Databáze: | OpenAIRE |
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