|CCMC||The CCMC hosts a variety of models covering the entire domain from the solar corona to the Earth's upper atmosphere. CCMC works with model developers to make their models available to a wide research community through runs on request as well as instant runs.|
|DREAM||The Dynamic Radiation Environment Assimilation Model (DREAM) is a Space Weather model developed at Los Alamos National Laboratory to understand and to predict hazards from the natural space environment and artificial radiation belts produced by high altitude nuclear explosions (HANE) such as Starfish.|
|AE-8/AP-8||CCMC Services available for AE-8/AP-8 RADBELT. A software package that includes (1) an improved and updated version of the old MODEL program (MODEL87), (2) an interactive driver program (RADBELT), (3) the electron AE-8 and proton AP-8 flux maps for solar maximum and minimum, and (4) the interpolation subroutines. RADBELT and MODEL87 compute omnidirectional, integral, or differential (in energy) fluxes of electrons and protons trapped in Earth's radiation for specified energy, L-value, and B/Bo range (B/Bo is magnetic field strength normalized to the equatorial value). The fluxes are obtained by an interpolation procedure from the AE-8 and AP-8 trapped particle flux maps. The RADBELT program allows the user to specify input parameters and options online and generates flux tables that can be stored for later use.|
|SIZM||Inner Zone Model. A radiation belt proton, antiproton, and secondary model.|
|Tsyganenko Geomagnetic Field Model and GEOPACK libraries||The Tsyganenko models are semi-empirical best-fit representations for the magnetic field, based on a large number of satellite observations. The models include the contributions from major external magnetospheric sources: ring current, magnetotail current system, magnetopause currents, and large-scale system of field-aligned currents. The Tsyganenko model suite also includes GEOPACK library with 20 FORTRAN subroutines. Provides instantaneous calculation of external and internal geomagnetic fields along a field line and at a specified point based on T96 and Geopack08.|
|Empirical Geomagnetic Field Models||
Intro: The Tsyganenko and Sitnov empirical models of geomagnetic field (e.g. TS07D) provides a relativistic high-resolution description of the magnetic field evolution in the inner magnetosphere during geomagnetic storms as a function of the solar wind and geomagnetic input parameters. Model applications include the magnetic mapping and correlation of spacecraft observations, computation of the adiabatic invariants of particle motion in the belts, the analysis of particle transport and losses from the belts, global visualization of storm-time magnetospheric-ionospheric current systems including computations of the inductive electric field induced by their storm-time reconfigurations.
Code: The latest FORTRAN source code for the model and a sample program is available. The program demonstrates how to configure both the static and the dynamic inputs to the TS07D model as well as model evaluation for the external magnetic field vectors. Additionally, the program demonstrates how to obtain the internal magnetic field vectors using the Tsyganenko’s Geopack implementation of the IGRF model.
July 2017 Update: An optimized version of the TS07D model is now available. This update incorporates an upgraded version Bessel function evaluator, provided by Jay Albert, which significantly speeds up the model. We thank Jay Albert for these contributions. Also, the new model’s inputs and outputs are now double precision instead of single precision.
Legacy version: The original version of the model is included in the sample program below, we encourage users to switch to the July 2017 version.
Required Inputs: Given the increased spatial resolution of TS07D, custom fits of the model parameters and coefficients are needed for each time interval, which are then stored in ascii files, which must be loaded to evaluate it. The non-linear parameters are fit at hourly resolution and are then interpolated and used to fit the linear coefficients at 5 min cadence. These ascii files can be downloaded below. Additionally, the model also requires a set of static coefficients which are used in evaluation of the magnetopause shielding fields, and must be loaded prior to model evaluation and are also available below. The sample FORTRAN program demonstrates how to load these files.
dynamic coefficient ascii files version-02
dynamic coefficient ascii files version-01
Precomputed Model Cubes: In order to speed up computation time, the TS07D's modeled external magnetic field vectors have been precomputed on a uniform gridded cube, and written out to a binary VTK file (.vti). A sample FORTRAN program that demonstrates how to read the cube files and evaluate and interpolate the magnetic field vectors is included.
The magnetic vector potential is a useful quantity in computing the inductive electric field and is also used for computation of the third-invariant, however, is a computationally expensive quantity to evaluate. Similarly, in order to speed up computation time, the TS07D's modeled external magnetic vector potential field vectors have been precomputed on a uniform gridded cube. The same program as above will also work for these cubes as well.
magnetic vector potential field cubes
The Van Allen Probes' magnetic ephemeris (L*) from the TS07D model has been computed and the files are available here.
TS07D Magnetic Field Model Data Products Users Guide can be found here.
|Empirical Models of Ionospheric Electrostatic Potential||Empirical models of ionospheric electrostatic potential combined with geomagnetic field models provide global maps of the electrostatic field across the inner magnetosphere for the analysis of storm-time convection and the buildup of the ring current and the radiation belt seed population.|
|AF-GEOSPACE||A user-friendly graphics-intensive software program bringing together many of the space environment models, applications and visualization products developed by the Air Force Research Laboratory and others in the space weather community.|