Some of our papers about ionosphere modeling are presented on this webpage. You can find here the abstract, keywords and the first page of each paper. Please don't hesitate to send us your request here email@example.com if you want to get to know some of these papers or our work in general.
The developed ensemble-based assimilative ionospheric model is outlined. Within the system, the physical model calculations are adjusted with the results of global GNSS-based ionospheric observations. The main purpose of the current research is building a reliable ionosphere nowcasting system for technological and scientific purposes. The sample model results are presented in the current paper and a short outline of possible model application is given.
In this poster, ionospheric data assimilation system is introduced. Physical model outline together with sample results and possible practical applications list are presented. Another topic of current work is estimation of ExB drift velocities, using presented physical-based model and Ensemble Square Root Filter. The scheme of a numerical, experiment and it's sample results are presented in the central frame.
We consider a threedimensional assimilation model of the ionosphere. We discuss the governing equations of the physical model and the data assimilation technique. We provide examples of the model results: plots of the calculated ionospheric parameters, such as the density and temperature of electrons and ions. We compare the model results with independent sources of data on the state of the ionosphere. We make some conclusions regarding the model accuracy and possible areas of its practical application.
The 3D assimilation ionospheric model is improved to assimilate in real time the ionospheric total electron content (TEC) measurement data from the International GNSS Service (IGS) network of groundbased stations of the global positioning system (GPS). This model makes it possible to calculate the space-time electron-concentration distributions of electrons, concentration of the seven main ions, and the temperature and velocity of electrons and ions in the ionosphere at altitudes of 100-1000 km. The model calculations of the ionospheric TEC are compared to the TEC measured on slant paths with the use of two-frequency receivers of the groundbased IGS network of stations not included into the assimilation scheme. The model calculations of ionospheric electron-concentration height profiles are compared to the data measured by an incoherent-scatter radar. It is shown that the ionospheric parameters calculated without using experimental data are in worse agreement with the radar measurement data than the results obtained with the assimilation model of the ionosphere. The model-calculated electron concentrations are compared to the data from the FORMOSAT-3/COSMIC system of medium-Earth-orbit satellites.
In the present paper we discuss the results of a serie of numerical experiments, aiming to recover velocities of drift and neutral winds using the Ensemble Square Root Filter technique and ionospheric model. One of the purposes for the current research was testing well-described ensemble state and parameter estimation techniques together with the operational ionospheric conditions estimation system. The second purpose was to improve accuracy of calculation of major driving forces in ionosphere and increase modeling reliability in real-data cases.
Modeling system background and setup are introduced. In the first section we present the underlying physics-based model, which was used during the simulation. The main assumptions of the model, as well as ExB drift and neutral wind zonal and meredional velocities calculation methods are discussed. Further we introduce the observations simulation system and describe the data we use for assimilation and recovery process. We also provide a brief description of the Ensemble Square Root Filter, as the data assimilation algorithm used. In the last few sections the results of the recovery experiment are introduced and discussed.