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Analytical Representations for Characterizing the Global Aviation Radiation Environment Based on Model and Measurement Databases.
Tobiska, W Kent; Didkovsky, Leonid; Judge, Kevin; Weiman, Seth; Bouwer, Dave; Bailey, Justin; Atwell, Bill; Maskrey, Molly; Mertens, Chris; Zheng, Yihua; Shea, Margaret; Smart, Don; Gersey, Brad; Wilkins, Richard; Bell, Duane; Gardner, Larry; Fuschino, Robert.
Afiliação
  • Tobiska WK; Space Weather Division Space Environment Technologies Los Angeles CA USA.
  • Didkovsky L; Now at Space Environment Technologies Los Angeles CA USA.
  • Judge K; Space Weather Division Space Environment Technologies Los Angeles CA USA.
  • Weiman S; Space Weather Division Space Environment Technologies Los Angeles CA USA.
  • Bouwer D; Space Weather Division Space Environment Technologies Los Angeles CA USA.
  • Bailey J; Space Weather Division Space Environment Technologies Los Angeles CA USA.
  • Atwell B; Space Weather Division Space Environment Technologies Los Angeles CA USA.
  • Maskrey M; Space Weather Division Space Environment Technologies Los Angeles CA USA.
  • Mertens C; Space Weather Division Space Environment Technologies Los Angeles CA USA.
  • Zheng Y; Space Radiation Group NASA Langley Research Center Hampton VA USA.
  • Shea M; Community Coordinated Modeling Center NASA Goddard Space Flight Center Greenbelt MD USA.
  • Smart D; SSSRC Nashua NH USA.
  • Gersey B; SSSRC Nashua NH USA.
  • Wilkins R; Space Weather Division Space Environment Technologies Los Angeles CA USA.
  • Bell D; Department of Electrical Engineering Prairie View A. & M. University Prairie View TX USA.
  • Gardner L; Department of Electrical Engineering Prairie View A. & M. University Prairie View TX USA.
  • Fuschino R; Department of Electrical Engineering Prairie View A. & M. University Prairie View TX USA.
Space Weather ; 16(10): 1523-1538, 2018 Oct.
Article em En | MEDLINE | ID: mdl-30686943
ABSTRACT
The Nowcast of Atmospheric Ionizing Radiation for Aviation Safety climatological model and the Automated Radiation Measurements for Aerospace Safety (ARMAS) statistical database are presented as polynomial fit equations. Using equations based on altitude, L shell, and geomagnetic conditions an effective dose rate for any location from a galactic cosmic ray (GCR) environment can be calculated. A subset of the ARMAS database is represented by a second polynomial fit equation for the GCR plus probable relativistic energetic particle (REP; Van Allen belt REP) effective dose rates within a narrow band of L shells with altitudinal and geomagnetic dependency. Solar energetic particle events are not considered in this study since our databases do not contain these events. This work supports a suggestion that there may be a REP contribution having an effect at aviation altitudes. The ARMAS database is rich in Western Hemisphere observations for L shells between 1.5 and 5; there have been many cases of enhanced radiation events possibly related to effects from radiation belt particles. Our work identifies that the combined effects of an enhanced radiation environment in this L shell range are typically 15% higher than the GCR background. We also identify applications for the equations representing the Nowcast of Atmospheric Ionizing Radiation for Aviation Safety and ARMAS databases. They include (i) effective dose rate climatology in comparison with measured weather variability and (ii) climatological and statistical weather nowcasting and forecasting. These databases may especially help predict the radiation environment for regional air traffic management, for airport overflight operations, and for air carrier route operations of individual aircraft.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article