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NAIRAS aircraft radiation model development, dose climatology, and initial validation

Mertens, Christopher J. and Meier, Matthias M. and Brown, Steven and Norman, Ryan B. and Xu, Xiaojing (2013) NAIRAS aircraft radiation model development, dose climatology, and initial validation. Space Weather, 11 (10), pp. 603-635. Wiley. doi: 10.1002/swe.20100. ISSN 1542-7390.

Full text not available from this repository.

Abstract

The Nowcast of Atmospheric Ionizing Radiation for Aviation Safety (NAIRAS) is a real-time, global, physics-based model used to assess radiation exposure to commercial aircrews and passengers. The model is a free-running physics-based model in the sense that there are no adjustment factors applied to nudge the model into agreement with measurements. The model predicts dosimetric quantities in the atmosphere from both galactic cosmic rays (GCR) and solar energetic particles, including the response of the geomagnetic field to interplanetary dynamical processes and its subsequent influence on atmospheric dose. The focus of this paper is on atmospheric GCR exposure during geomagnetically quiet conditions, with three main objectives. First, provide detailed descriptions of the NAIRAS GCR transport and dosimetry methodologies. Second, present a climatology of effective dose and ambient dose equivalent rates at typical commercial airline altitudes representative of solar cycle maximum and solar cycle minimum conditions and spanning the full range of geomagnetic cutoff rigidities. Third, conduct an initial validation of the NAIRAS model by comparing predictions of ambient dose equivalent rates with tabulated reference measurement data and recent aircraft radiation measurements taken in 2008 during the minimum between solar cycle 23 and solar cycle 24. By applying the criterion of the International Commission on Radiation Units and Measurements (ICRU) on acceptable levels of aircraft radiation dose uncertainty for ambient dose equivalent greater than or equal to an annual dose of 1 mSv, the NAIRAS model is within 25% of the measured data, which fall within the ICRU acceptable uncertainty limit of 30%. The NAIRAS model predictions of ambient dose equivalent rate are generally within 50% of the measured data for any single-point comparison. The largest differences occur at low latitudes and high cutoffs, where the radiation dose level is low. Nevertheless, analysis suggests that these single-point differences will be within 30% when a new deterministic pion-initiated electromagnetic cascade code is integrated into NAIRAS, an effort which is currently underway.

Item URL in elib:https://elib.dlr.de/85538/
Document Type:Article
Title:NAIRAS aircraft radiation model development, dose climatology, and initial validation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Mertens, Christopher J. Science Directorate, Chemistry and Dynamics Brance, NASA Langley Research Center, 21 Langley Blvd., Mail Stop 401B, Hampton, VA 23168-2199, USA. (christopher.j.mertens (at) nasa.gov) UNSPECIFIED
Meier, Matthias M. DLR - German Aerospace Center, Institute of Aerospace Medicine, Radiation Biology, Cologne, Germany. UNSPECIFIED
Brown, Steven George Mason University, School of Physics, Astronomy and Computational Sciences, Fairfax, Virginia, USA UNSPECIFIED
Norman, Ryan B. NASA Langley Research Center, Hampton, Virginia, USA.UNSPECIFIED
Xu, Xiaojing Science Systems & Applications, Inc., Hampton, Virginia, USA. UNSPECIFIED
Date:2013
Journal or Publication Title:Space Weather
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI :10.1002/swe.20100
Page Range:pp. 603-635
Publisher:Wiley
ISSN:1542-7390
Status:Published
Keywords:ionizing radiation, galactic cosmic rays, dosimetry
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Research under Space Conditions
DLR - Research area:Raumfahrt
DLR - Program:R FR - Research under Space Conditions
DLR - Research theme (Project):R - Vorhaben Strahlenbiologie (old)
Location: Köln-Porz
Institutes and Institutions:Institute of Aerospace Medicine > Radiation Biology
Deposited By: Kopp, Kerstin
Deposited On:21 Nov 2013 15:11
Last Modified:14 Dec 2019 04:20

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