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Specification of the near-Earth space environment with SHIELDS

Journal Article · · Journal of Atmospheric and Solar-Terrestrial Physics
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  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Beihang Univ., Beijing (China)
  3. Univ. of Michigan, Ann Arbor, MI (United States)
  4. KTH Royal Institute of Technology, Stockholm (Sweden)
  5. Air Force Research Lab., Kirtland AFB, NM (United States)
  6. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Space Science Institute, Boulder, CO (United States)
  7. Space Science Institute, Boulder, CO (United States); New Mexico Consortium, Los Alamos, NM (United States)
  8. British Antarctic Survey, England (United Kingdom)
+ Show Author Affiliations
Here, predicting variations in the near-Earth space environment that can lead to spacecraft damage and failure is one example of “space weather” and a big space physics challenge. A project recently funded through the Los Alamos National Laboratory (LANL) Directed Research and Development (LDRD) program aims at developing a new capability to understand, model, and predict Space Hazards Induced near Earth by Large Dynamic Storms, the SHIELDS framework. The project goals are to understand the dynamics of the surface charging environment (SCE), the hot (keV) electrons representing the source and seed populations for the radiation belts, on both macro- and micro-scale. Important physics questions related to particle injection and acceleration associated with magnetospheric storms and substorms, as well as plasma waves, are investigated. These challenging problems are addressed using a team of world-class experts in the fields of space science and computational plasma physics, and state-of-the-art models and computational facilities. A full two-way coupling of physics-based models across multiple scales, including a global MHD (BATS-R-US) embedding a particle-in-cell (iPIC3D) and an inner magnetosphere (RAM-SCB) codes, is achieved. New data assimilation techniques employing in situ satellite data are developed; these provide an order of magnitude improvement in the accuracy in the simulation of the SCE. SHIELDS also includes a post-processing tool designed to calculate the surface charging for specific spacecraft geometry using the Curvilinear Particle-In-Cell (CPIC) code that can be used for reanalysis of satellite failures or for satellite design.
Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
LDRD; USDOE
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1411353
Alternate ID(s):
OSTI ID: 1618155
Report Number(s):
LA-UR--17-23782
Journal Information:
Journal of Atmospheric and Solar-Terrestrial Physics, Journal Name: Journal of Atmospheric and Solar-Terrestrial Physics Vol. 177; ISSN 1364-6826
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (8)

The Earth’s Magnetosphere: A Systems Science Overview and Assessment journal July 2018
In-Situ Inference: Bringing Advanced Data Science Into Exascale Simulations report January 2020
A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning text January 2019
Exploration of a Composite Index to Describe Magnetospheric Activity: Reduction of the Magnetospheric State Vector to a Single Scalar journal September 2018
Recent Advancements and Remaining Challenges Associated With Inner Magnetosphere Cross‐Energy/Population Interactions (IMCEPI) journal February 2019
Initial Results From the GEM Challenge on the Spacecraft Surface Charging Environment journal February 2019
Model Evaluation Guidelines for Geomagnetic Index Predictions journal December 2018
Extension of an Empirical Electron Flux Model From 6 to 20 Earth Radii Using Cluster/RAPID Observations journal May 2019

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Related Subjects

54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES
Geomagnetic storms and substorms
Heliospheric and Magnetospheric Physics
Multiscale physics
Numerical modeling
Space hazards
Wave-particle interactions