The ionosphere is a highly dynamic medium that exhibits weather disturbances at all latitudes, longitudes, and altitudes, and these disturbances can have detrimental effects on both military and civilian systems. In an effort to mitigate the adverse effects, we are developing a physics-based data assimilation model of the ionosphere and neutral atmosphere called the Global Assimilation of Ionospheric Measurements (GAIM). GAIM will use a physics-based ionosphere-plasmasphere model and a Kalman filter as a basis for assimilating a diverse set of real-time (or near real-time) measurements. Some of the data to be assimilated include in situ density measurements from satellites, ionosonde electron density profiles, occultation data, ground-based...
During geomagnetic storms, communication and navigation instruments can be dramatically affected by ...
The Utah State University (USU) Gauss–Markov Kalman filter (GMKF) of the ionosphere uses the Ionosph...
Initial conditions provide a critical input for accurate numerical forecast models in meteorology a...
The ionosphere is a highly dynamic medium that exhibits weather disturbances at all latitudes, longi...
Abstract. A fully 3-dimensional Global Assimilative Ionospheric Model (GAIM) is currently being deve...
Total electron content (TEC) measurements from ground stations to Global Positioning System (GPS) sa...
A physics-based data assimilation model of the ionosphere is under development as the central part o...
Our ability to specify and forecast ionospheric dynamics and weather at low- and mid-latitudes is st...
Physics-based data assimilation models of the ionosphere were developed at Utah State University as ...
GAIM-GM is an operational Kalman filter data assimilation model of the ionosphere that can assimilat...
The ionosphere is a complex and dynamic medium that exhibits weather features at all latitudes and l...
The Utah State University Gauss-Markov Kalman Filter (GMKF) was developed as part of the Global Assi...
The four-dimensional Global Assimilative Ionospheric Model (GAIM) is applied to a study of ionospher...
In order to study the effects of ionospheric plasma densities on the thermosphere, the electron and ...
Assimilation Ionosphere Model (AIM) is a physics-based, global, ionospheric specification model tha...
During geomagnetic storms, communication and navigation instruments can be dramatically affected by ...
The Utah State University (USU) Gauss–Markov Kalman filter (GMKF) of the ionosphere uses the Ionosph...
Initial conditions provide a critical input for accurate numerical forecast models in meteorology a...
The ionosphere is a highly dynamic medium that exhibits weather disturbances at all latitudes, longi...
Abstract. A fully 3-dimensional Global Assimilative Ionospheric Model (GAIM) is currently being deve...
Total electron content (TEC) measurements from ground stations to Global Positioning System (GPS) sa...
A physics-based data assimilation model of the ionosphere is under development as the central part o...
Our ability to specify and forecast ionospheric dynamics and weather at low- and mid-latitudes is st...
Physics-based data assimilation models of the ionosphere were developed at Utah State University as ...
GAIM-GM is an operational Kalman filter data assimilation model of the ionosphere that can assimilat...
The ionosphere is a complex and dynamic medium that exhibits weather features at all latitudes and l...
The Utah State University Gauss-Markov Kalman Filter (GMKF) was developed as part of the Global Assi...
The four-dimensional Global Assimilative Ionospheric Model (GAIM) is applied to a study of ionospher...
In order to study the effects of ionospheric plasma densities on the thermosphere, the electron and ...
Assimilation Ionosphere Model (AIM) is a physics-based, global, ionospheric specification model tha...
During geomagnetic storms, communication and navigation instruments can be dramatically affected by ...
The Utah State University (USU) Gauss–Markov Kalman filter (GMKF) of the ionosphere uses the Ionosph...
Initial conditions provide a critical input for accurate numerical forecast models in meteorology a...