Related Links | Frequently Asked Questions | Community Feedback | Downloads | Sitemap
CCMC Home | CCMC Stakeholders | Our Team | Publications | Meetings and Workshops | Concept of Operations
Models At A Glance | ModelWeb Catalog and Archive
Request Procedures | Generate Input Data Files & Parameters | Movies on Request | About the Run Process | Publications Policy
Search run database | Request run output | Special events | Kameleon Software | Space Weather Explorer | Publications policy
Instant Model Run
Forecasting Support tools | iSWA | DONKI | Mission Support | Experimental Real Time Simulations | Operational Geospace Model Validations
Intl Forum | GEM Challenge | CEDAR ETI Challenge | GEM-CEDAR Challenge | SHINE Challenge | CME Arrival Time Scoreboard | Flare Scoreboard | SEP Scoreboard | IMF Bz Scoreboard
Educational materials &activities | Space Weather REDI Initiative | SW REDI Bootcamp | Student Research Contest | Tutorial at CEDAR | Forecaster Tools
Missions near Earth/in Earth-orbit | MMS | Van Allen Probes | THEMIS | MESSENGER | STEREO | Spitzer | MAVEN | MSL | Dawn | Kepler | EPOXI | Juno | CASSINI | Voyager | New Horizons | Sounding Rockets | International
Research Community Support | CCMC Workshops | NASA Robotic Mission Operator Workshops | LWS Support | Exo-CCMC | DREAM2 Support | HELCATS Support
iSWA | DONKI | Kameleon | StereoCat | EEGGL | CME Scoreboard | SEP Scoreboard | FLR Scoreboard | SEA5

Physics Based MODels - Time-Dependent Model of The Global Low-Latitude Ionosphere, Plasma Irregularities, and Radio Scintillation

CCMC Services available for PBMOD
View Real Time Run
View iSWA cygnet for this model

Model Developer(s)
John M. Retterer
Boston College

Model Description
The PBMOD ionospheric model is a system of Physics Based MODels that describes the three-dimensional time-dependent evolution of the low-latitude ionosphere on several different spatial scales: globally it provides the plasma density and composition at altitudes between 90 and 2000 km; at finer scales it describes the development of fluid plasma turbulence within this region and the resulting radio scintillation. The numerical model of the ambient (global scale) ionosphere yields density distributions for electrons and several ion species (O+, H+, and NO+, O2+, N2+) as a function of latitude, longitude, and altitude on a prespecified spatial grid at specified times. The system also includes models that evaluate the growth rate for the generalized Rayleigh-Taylor instability, perform evolutionary calculations of the self-consistent nonlinear development of equatorial low-density plasma plumes/bubbles, and perform a phase-screen calculation to estimate the strength of amplitude and phase scintillation of radio signals passing through the turbulent structure.

Numerous physical and chemical processes are contained in the model, including field-aligned diffusion, cross-field electrodynamic drifts, thermospheric winds, ion production due to EUV radiation, chemical and other collisional processes. The model uses the IGRF geomagnetic field model for an accurate depiction of the Earth's magnetic-field geometry. Depending on the inputs, the global ionospheric model can describe different solar cycle, seasonal, and daily variations. It can describe the low-latitude effects of geomagnetic storm dynamics.

Model Input
The main global inputs are the neutral densities, temperatures, and winds; the magnetospheric and equatorial electric field distributions and histories; the plasma temperatures; the plasma production rate; and the seed perturbation for the plume calculation. The empirical or statistical models used for these inputs are parameterized by

For storm simulations, the temporal variation of the magnetospheric and atmospheric inputs must be specified. Simple scalings with the interplanetary electric field (that can provide a rough estimate of the penetration field and thermospheric energy input in storm events) are provided by

Model Output

Limitations and Caveats
1. To a large extent, the reliability of the calculated ionospheric parameters depends on the accuracy to which the global inputs have been specified. The ambient ionospheric model is particularly sensitive to the equatorial electric field (including both penetration and dynamo fields), but also depends on thermospheric winds, neutral densities, plasma temperatures, and plasma production rates.

2. The plasma plume model depends on the parameters in 1, and is additionally dependent on the choice of 'seed' or initial perturbation for plume development.

3. The structuring of the plasma in the turbulent plumes does not feed back into the ambient model.

References and relevant publications
Retterer, J. M., D. T. Decker, W. S. Borer, R. E. Daniell, and B. G. Fejer, Assimilative Modeling of the Equatorial Ionosphere for Scintillation Forecasting: Modeling with Vertical Drifts, J. Geophys. Res., 110, A11307, 2005.
Retterer, J. M., Physics-based forecasts of equatorial radio scintillation for C/NOFS, Space Weather Journal, 3, S12C03, 2005.
Retterer, J. M., Forecasting Low-Latitude Radio Scintillation with 3-D Ionospheric Plume Models: I. Plume Model, J. Geophys. Res., doi:10.1029/2008JA013839, 2010
Retterer, J. M., Forecasting Low-Latitude Radio Scintillation with 3-D Ionospheric Plume Models: II. Scintillation Calculation, J. Geophys. Res., doi:10.1029/2008JA013840, 2010.
Retterer, J. M., and M. C. Kelley, Solar wind drivers for low-latitude ionosphere models during geomagnetic storms, J. Atmos. Solar-Terr. Phys., doi:10.1016/j.jastp.2009.07.00,3, 2010.

Relevant links

CCMC Contact(s)


Developer Contact(s)

National Aeronautics and Space Administration Air Force Materiel Command Air Force Office of Scientific Research Air Force Research Laboratory Air Force Weather Agency NOAA Space Environment Center National Science Foundation Office of Naval Research

| | Privacy, Security Notices | CCMC DATA Collection Consent Agreement

CCMC logo designed by artist Nana Bagdavadze