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NAIRAS (3.0)

Nowcast of Aerospace Ionization RAdiation System (NAIRAS) Model

Model Description

The NAIRAS model predicts biologically hazardous radiation exposure to crew and passengers onboard aircraft or spacecraft from the ever-present galactic cosmic rays (GCR), inner radiation belt trapped protons (TRP) in low-Earth orbit (LEO), and the episodic, transient solar energetic particles (SEP) originating from solar eruptive events. The NAIRAS model also predicts the radiation flux and fluence quantities for the assessment of microelectronic single event effects (SEE) to avionic and spaceflight electronic systems.  

NAIRAS is composed of coupled physics-based models that transport cosmic radiation through the heliosphere, Earth’s magnetosphere, the neutral atmosphere, and aircraft or spacecraft shielding. GCR are propagated from outside the heliosphere to 1 AU (astronomical unit) by solving a steady-state, convective-diffusive transport equation including adiabatic energy loss. A hybrid version of the Badhwar and O’Neill 2010 model, denoted H-BON10, was developed for NAIRAS to solve GCR heliospheric transport. The GCR composition in H-BON10 was also extended to include primary nuclei from hydrogen through uranium for predicting linear-energy transfer (LET) spectra out to 100 MeV-cm2/mg for SEE assessment. Transport through the magnetosphere incorporates the dynamical response of the geomagnetic field to space weather variability in the interplanetary medium using the CISM-Dartmouth vertical geomagnetic cutoff rigidity model. Transport of cosmic radiation through material media – i.e., the atmosphere and/or aircraft or spacecraft shielding – is calculated with the deterministic HZETRN transport code. 

Thus, the NAIRAS model computes ionizing radiation particle flux spectra from the primary sources (GCR, TRP, SEP) and the secondary radiations produced from nuclear interactions between the radiation source ions and the constituents of the intervening material media. The secondary particles consist of heavy-ion fragments from GCR ions and protons, alphas, pions and muons, and electromagnetic cascade particles (electrons, positrons, and gamma ray photons) produced by interactions with the radiation source ions. The particle flux spectra are the fundamental physical quantities from which important response functions are calculated, such as dosimetric quantities and the various flux and fluence quantities useful for characterizing SEE.

NAIRAS version 3.0 operates in two independent modes: (1) real-time global predictions of the atmospheric radiation environment, which are updated hourly, and (2) run-on-request (RoR) capability allowing the user to select a specific time-period for the global dosimetric calculations, or to upload an aircraft, balloon, or spaceflight trajectory file to provide simulations of the dosimetric and radiation flux and fluence quantities along the flight path. 

The key features of the real-time NAIRAS operation mode: (1) global maps of the atmospheric ionizing radiation environment provided at an hourly cadence on a 1x1 degree latitude/longitude grid, 0-90 km in altitude at 1-km increments; (2) both GCR and SEP sources of atmospheric ionizing radiation are included in real-time; (3) radiation transport through material media is physics-based using the deterministic HZETRN code; and (4) the temporal and spatial variations in geomagnetic transmission of GCR and SEP primary particle spectra due to coupling between the magnetosphere and the interplanetary plasma environment are also included in real-time. The output dosimetric quantities are absorbed dose in silicon, absorbed dose in tissue, dose equivalent, ambient dose equivalent, and effective dose. 

The RoR capability allows the user to run the NAIRAS model for customized application scenarios and time periods. These features are summarized in the table below. The global dosimetric run option mirrors the execution of the real-time mode of the NAIRAS model for a user-specified time-period. The input is simply start and end datetime for the model run. The output quantities are the same five dosimetric quantities provided by the real-time model. Hourly output files of the dosimetric quantities calculated at each model grid point described above are written out over the duration of the user-input start/end datetime interval. This class of run option capability provides global context and situation awareness of the atmospheric ionizing radiation environment. Furthermore, retrospective scientific analysis and verification and validation of the real-time mode of operation of the NAIRAS model can be readily performed.

Table: RoR Capability Summary and Description (see Figures)


The RoR flight trajectory run option allows the user to upload a trajectory file. The model output products are calculated at each trajectory point. Also available to the user are the output quantities time-integrated over the duration of the flight. The trajectory file can correspond to an aircraft, balloon, or spacecraft flight. The key input fields of the trajectory file are date, time, geocentric latitude and longitude, and altitude. The user can select any combination of dosimetric and differential and integral flux and fluence quantities listed in the table. The dosimetric outputs are the same five quantities available from the real-time NAIRAS operation mode or from the RoR global dosimetric run option. The flux and fluence output products are quantities useful for assessing SEE. Differential and integral LET flux and fluence quantities are calculated from the GCR radiation source. Differential and integral proton flux and fluence quantities are calculated from the SEP and TRP radiation sources. For the calculation of the integral LET (GCR) and proton (SEP/TRP) flux and fluence quantities, the user can select as many output quantities as desired, which are defined by the user-specified threshold LET (GCR) or proton (SEP/TRP) energy of the associated integral quantity. The user can input as many aluminum-equivalent shielding depths as needed at which the selected output quantities are calculated. Two separate sets of shielding depths can be specified for the dosimetric and flux/fluence quantities. These two sets allow detailed model comparisons to an onboard dosimeter or crew member locations, characterized by a unique shielding environment, and radiation environment characterization of individual microelectronic components via the flux/fluence quantities for SEE assessment.

Model Figure(s) :

  • NAIRAS RoR Capability Summary and Description
  • Model Inputs Description

    1.	GOES differential and integral charged particle flux data to derive the incident SEP spectral fluence rates (5 min averaged).
    2.	Neutron monitors (Oulu, Lomnicky, Thule, Izmiran) for GCR and inner proton belt solar cycle modulation
    3.	Wilcox Solar Observatory (WSO) solar polar magnetic field data for GCR solar cycle modulation
    4.	ACE(EPAM)/DSCOVR solar wind velocity, density, and IMF components; Kyoto Dst and Kp; used for TS05 and T89 magnetospheric magnetic field specifications within the geomagnetic cutoff rigidity model
    5.	F10.7 for inner proton belt solar cycle modulation
    

    Model Outputs Description

    Real-Time Output Description:
    
    Northern and southern hemisphere maps of dosimetric quantities for the latest hourly prediction. The user can select prior hourly predictions going back to year 2020 when NAIRAS became operational at iSWA. The user can select five dosimetric quantities: absorbed dose in silicon, absorbed dose in tissue, dose equivalent, ambient dose equivalent, and effective dose. The user can select four barometric altitudes for displaying the dosimetric quantities: 5 km, 11 km, 15 km, and 40 km. The cruising altitude of small aircraft and commercial flights are largely bound by the altitude range 5-11 km. Corporate aircraft cruising altitudes are typically between 12-15 km. The highest altitude of 40 km provides a reasonable proxy for free-space ionizing radiation exposure behind the typical shielding of an aircraft/spacecraft, which when converted to an equivalent atmospheric depth corresponds to ~ 40 km in the U.S. Standard Atmosphere. A global map of the vertical geomagnetic cutoff rigidity for the latest hourly dose predictions is also available for viewing. A vertical slice of the dosimetric quantities for a commercial flight from New York to Seoul is available as well.
    
    RoR Output Description:
     
    1.	Global Dosimetric Quantities:
    GCR and SEP dosimetric quantities on a geographic 1 × 1 degree latitude and longitude grid, and from the surface of the Earth to 90 km with a vertical resolution of 1 km. The dosimetric quantities include absorbed dose rate in silicon, absorbed dose rate in tissue, dose equivalent rate, ambient dose equivalent rate, and effective dose rate. The vertical cutoff rigidity on the geographic 1 x 1 degree latitude and longitude is also available. 
    2.	Flight Trajectory Quantities:
    GCR, TRP for LEO, and SEP dosimetric and radiation flux quantities at the spatial-temporal points of user-input trajectory file. The dosimetric quantities are the same as described for the RoR global dosimetric output at user-specified aluminum equivalent shielding depths. The radiation flux quantities include differential and integral LET flux and fluence (GCR), and differential and integral proton flux and fluence (TRP/SEP) at user-specified aluminum equivalent shielding depths. 
    
    

    Model Caveats

    
    	
    	
    	
    	

    Change Log

    Major updates starting with version 3 and up: added trajectory-based products for the needs of the Commercial Crew Program, such as differential and integral particle and LET flux and fluence quantities for single event effects (SEE) analysis, multiple magnetospheric magnetic field options, and improved SEP spectral fitting.
    
    Version 3.61 includes the generation of a json file showing the Effective dose at 20km, and a new png file showing the spectral fit of the GOES proton measurements.
    
    Version 3.82 includes the flux images for the LET and trajectories.

    Model Acknowledgement/Publication Policy (if any)

    
    	
    	
    	

    Model Domains:

    Geospace
    Magnetosphere.Global_Magnetosphere
    Global_Ionosphere
    Thermosphere
    Exosphere

    Space Weather Impacts:

    Near-earth radiation and plasma environment (aerospace assets functionality)
    Solar energetic particles - SEPs (human exploration, aviation safety, aerospace assets functionality)
    Galactic cosmic rays - GCRs (human exploration, aviation safety, aerospace assets functionality)

    Phenomena :

    Solar_Energetic_Particles

    Simulation Type(s):

    Physics-based

    Temporal Dependence Possible? (whether the code results depend on physical time?)

    true

    Model is available at?

    CCMC

    Source code of the model is publicly available?

    false

    CCMC Model Status (e.g. onboarding, use in production, retired, only hosting output, only source is available):

    production

    Code Language:


    Regions (this is automatically mapped based on model domain):

    Earth.Magnetosphere

    Contacts :

    Chris.Mertens, ModelDeveloper
    Yihua.Zheng, ModelHostContact

    Acknowledgement/Institution :

    Relevant Links :

    NAIRAS at Space Environment: http://sol.spacenvironment.net/~nairas/
    Real-time Atmospheric Effective Radiation Dose Rates from the NAIRAS model: http://bit.ly/NAIRAS-products
    NAIRAS NASA Technical Report: https://ntrs.nasa.gov/citations/20230006306

    Publications :

  • Meier, M. M., Copeland, K., Matthiä, D., Mertens, C. J., & Schennetten, K. ( 2018). First steps toward the verification of models for the assessment of the radiation exposure at aviation altitudes during quiet space weather conditions. Space Weather, 16, 1269-1276. https://doi.org/10.1029/2018SW001984
  • Mertens, C. J., Meier, M. M., Brown, S., Norman, R. B., and Xu, X. ( 2013), NAIRAS aircraft radiation model development, dose climatology, and initial validation, Space Weather, 11, 603‐ 635, doi:10.1002/swe.20100.
  • Mertens, C. J., B. T. Kress, M. Wiltberger, S. R. Blattnig, T. S. Slaba, S. C. Solomon, and M. Engel (2010),Geomagnetic influence on aircraft radiation exposure during a solar energetic particle event in October 2003, Space Weather, 8, S03006, doi:10.1029/2009SW000487.
  • Mertens, C. J., B. T. Kress, M. Wiltberger, W. K. Tobiska, B. Grajewski, and X. Xu, Atmospheric ionizing radiation from galactic and solar cosmic rays, in Current Topics in Ionizing Radiation Research, Edited by Mitsuru Nenoi, InTech Publisher (ISBN 978-953-51-0196-3), 2012. web link 10.5772/32664
  • Mertens, C. J., Gronoff, G. P., Zheng, Y., Petrenko, M., Buhler, J., Phoenix, D., et al. (2023). NAIRAS model run-on-request service at CCMC. Space Weather, 21, e2023SW003473. https://doi.org/10.1029/2023SW003473
  • Phoenix, D. B., Mertens, C. J., Gronoff, G. P., & Tobiska, K. (2024). Characterization of radiation exposure at aviation flight altitudes using the Nowcast of Aerospace Ionizing Radiation System (NAIRAS). Space Weather, 22, e2024SW003869. https://doi.org/10.1029/2024SW003869
  • C. J. Mertens et al., "NAIRAS Atmospheric and Space Radiation Environment Model," in IEEE Transactions on Nuclear Science, vol. 71, no. 4, pp. 618-625, April 2024, doi: 10.1109/TNS.2023.3330675.
  • Model Access Information :

    Access URL: https://iswa.gsfc.nasa.gov/iswa_data_tree/model/radiation_and_plasma_effects/NAIRAS/
    Access URL Name: Continuous/RT Run (ISWA data tree)
    Repository ID: spase://CCMC/Repository/NASA/GSFC/CCMC
    Availability: online
    AccessRights: OPEN
    Format: HTML
    Encoding: None

    Access URL: https://iswa.ccmc.gsfc.nasa.gov/IswaSystemWebApp/?layout=NAIRAS
    Access URL Name: Continuous/RT Run (ISWA layout)
    Repository ID: spase://CCMC/Repository/NASA/GSFC/CCMC
    Availability: online
    AccessRights: OPEN
    Format: HTML
    Encoding: None

    Access URL: https://ccmc.gsfc.nasa.gov/requests/IT/NAIRAS3/nairas_user_registration.php
    Access URL Name: Runs-on-Request
    Repository ID: spase://CCMC/Repository/NASA/GSFC/CCMC
    Availability: online
    AccessRights: OPEN
    Format: HTML
    Encoding: None

    Linked to Other Spase Resource(s) (example: another SimulationModel) :

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