Entity

Time filter

Source Type

Logan, UT, United States

Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 91.59K | Year: 2002

"We propose to design a physics-based, Kalman filter, data assimilation model of high-latitude electrodynamics. Our new model will provide accurate specifications and forecasts for convection electric fields, particle precipitation, conductances, Jouleheating rates, and field-aligned and ionospheric currents. High-resolution patterns of the electrodynamic parameters will be calculated continuously as a function of time, and a unique feature of the model will be its ability to capture sharpelectrodynamic boundaries and mesoscale structures. The physics-based model will be a time-dependent, high-resolution, coupled model containing a high-latitude ionospheric model and an MHD electrodynamic model of magnetosphere-ionosphere coupling. Thedata to be assimilated will include ground-based magnetometer and radar data, in situ satellite measurements, data from imaging satellites, and GPS-TEC measurements. The data will be assimilated via a Kalman filter technique, which has been successfullyused in meteorology and oceanography. In addition to producing a workable design of an innovative electrodynamic model, we will write a software design document and we will formulate a validation plan. We will also write a comprehensive report on thestrengths and limitations of all current electrodynamic models, and in particular, we will show why they are not capable of providing accurate electrodynamic parameters. The assimilating model of high-la


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 749.67K | Year: 2007

Space Environment Corporation (SEC) proposes to develop a new, low cost, passive, beacon monitoring instrument that will provide extensive near-real-time information about the state of the ionosphere and impacts on operational systems. The instrument is the result of an innovative combination of engineering and physics-based approaches. It consists of receiver hardware, control/analysis software, and ionospheric/propagation assessment software. Each instrument will identify signals over a wide frequency range (3 kHz to 3 GHz) and will be linked into a network. The low-cost of the instrument will allow for a wide deployment, which, in turn, will allow for high-resolution propagation specifications and space weather maps. A ray-tracing signal strength analysis is used with a background ionosphere model to obtain a modified 3-D ionosphere that is consistent with all of the received signals. Solar flares, winter absorption anomalies, sporadic E, auroral oval precipitation, and F-region irregularities will be identified. Ionospheric structures ranging from 10 to 1000 km will be resolved. The instruments output is a local (or regional) ionosphere with its impact on systems and operations.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 339.16K | Year: 2004

The ionosonde has been the most important monitor of the ionosphere for many decades. It remains the only low-cost, ground-based probe of the bottomside electron density profile, which is necessary knowledge for many HF signal-based technologies. Unfortunately, existing analysis software requires human assistance to obtain quality parameters suitable for space weather data-assimilation models. Even when expertly reduced, many parameters required by modern assimilation models, such as error estimates, are not provided. Therefore, existing ionosonde data streams are not utilized in space weather operations, assimilation models, or other real-time applications. On the basis of promising results of our Phase I activity, we propose to develop a tested, robust software prototype to overcome the continued neglect of the valuable ionosonde networks. The proposed innovative, automated analysis package for mid-latitude ionosondes will (1) interface with many existing ionosondes (2) clean and analyze ionogram data, (3) use a physics-based expert decision aid to optimally determine the X and O traces with other standard URSI ionogram parameters, and (4) expand the output to include ionosphere parameters, ionosphere drivers, and associated uncertainties of all output quantities.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 730.10K | Year: 2000

N/A


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 641.46K | Year: 2003

We propose to construct a physics-based, Kalman filter, data assimilation model of high-latitude electrodynamics. Our new model will provide accurate specifications and forecasts for convection electric fields, particle precipitation, conductances, Jouleheating rates, field-aligned and ionospheric currents, and ionospheric densities in the D, E, and F regions. High-resolution patterns of the electrodynamic parameters will be calculated continuously as a function of time, and a unique feature of the modelwill be its ability to capture sharp electrodynamic boundaries and mesoscale structures. The physics-based model will be a time-dependent, high-resolution, coupled model containing a high-latitude ionospheric model and an electrodynamic model ofmagnetosphere-ionosphere coupling. The data to be assimilated will include ground-based magnetometer and radar data, in situ satellite measurements, data from imaging satellites, and GPS-TEC measurements. The data will be assimilated via a Kalman filtertechnique, which has been successfully used in meteorology and oceanography. Quality control algorithms will also be developed so that the different data types can be cleaned and reduced before assimilation. The model will be tested for robustness andvalidated for quiet and storm conditions. Finally, the electrodynamic model will be installed on AFRL computers and a user's manual will be provided.

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