Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. AE9, AP9 and SPM: New Models for Specifying the Trapped Energetic Particle and Space Plasma Environment

AE9, AP9 and SPM: New Models for Specifying the Trapped Energetic Particle and Space Plasma Environment

Thumbnail Image
Download
Name

11214_2013_Article_9964.pdf

Size

7.36 MB

Format

Adobe PDF

Checksum (MD5)

0797efab7a060447c1df677f7d56c28b

Download all files submitted through automated deposit
art_3891577688500673138.zip (6.92 MB)
Author(s)
Friedel, R.
•
Whelan, P.
•
Madden, D.
•
Morley, S.
•
Su, Yi-Jiun
•
O’Brien, T. P.
•
Huston, S. L.
•
Johnston, W. R.
•
Guild, T. B.
•
Lindstrom, C. D.
more
Date Issued
March 2013
Journal
Space Science Reviews
Publisher
Springer Netherlands
Citation
Ginet, G. P., T. P. O’Brien, S. L. Huston, W. R. Johnston, T. B. Guild, R. Friedel, C. D. Lindstrom, et al. “AE9, AP9 and SPM: New Models for Specifying the Trapped Energetic Particle and Space Plasma Environment.” Space Sci Rev 179, no. 1–4 (March 9, 2013): 579–615.
Version
Author's final manuscript
Abstract
The radiation belts and plasma in the Earth’s magnetosphere pose hazards to satellite systems which restrict design and orbit options with a resultant impact on mission performance and cost. For decades the standard space environment specification used for spacecraft design has been provided by the NASA AE8 and AP8 trapped radiation belt models. There are well-known limitations on their performance, however, and the need for a new trapped radiation and plasma model has been recognized by the engineering community for some time. To address this challenge a new set of models, denoted AE9/AP9/SPM, for energetic electrons, energetic protons and space plasma has been developed. The new models offer significant improvements including more detailed spatial resolution and the quantification of uncertainty due to both space weather and instrument errors. Fundamental to the model design, construction and operation are a number of new data sets and a novel statistical approach which captures first order temporal and spatial correlations allowing for the Monte-Carlo estimation of flux thresholds for user-specified percentile levels (e.g., 50th and 95th) over the course of the mission. An overview of the model architecture, data reduction methods, statistics algorithms, user application and initial validation is presented in this paper.
MIT Department
Lincoln Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/106480
DOI of Published Version
https://doi.org/10.1007/s11214-013-9964-y
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.