Search Results - "SCHERLIESS, L"

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  1. 1

    Equatorial Disturbance Dynamo Vertical Plasma Drifts Over Jicamarca: Bimonthly and Solar Cycle Dependence by Navarro, L. A., Fejer, B. G., Scherliess, L.

    “…We use extensive incoherent scatter radar observations from the Jicamarca Radio Observatory to study the local time and bimonthly dependence of the equatorial…”
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  2. 2

    Longitudinal variability of low-latitude total electron content: Tidal influences by Scherliess, L., Thompson, D. C., Schunk, R. W.

    “…Recently, nighttime ultraviolet (UV) observations obtained by IMAGE FUV and TIMED GUVI instruments have revealed a longitudinal wave number four pattern in the…”
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  3. 3

    On the Balance Between Plasma and Magnetic Pressure Across Equatorial Plasma Depletions by Rodríguez‐Zuluaga, J., Stolle, C., Yamazaki, Y., Lühr, H., Park, J., Scherliess, L., Chau, J. L.

    “…In magnetized plasmas such as the ionosphere, electric currents develop in regions of strong density gradients to balance the resulting plasma pressure…”
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  4. 4

    Radar and satellite global equatorial F region vertical drift model by Scherliess, L., Fejer, B. G.

    Published in Journal of Geophysical Research (01-04-1999)
    “…We present the first global empirical model for the quiet time F region equatorial vertical drifts based on combined incoherent scatter radar observations at…”
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  5. 5

    Utah State University Global Assimilation of Ionospheric Measurements Gauss-Markov Kalman filter model of the ionosphere: Model description and validation by Scherliess, L., Schunk, R. W., Sojka, J. J., Thompson, D. C., Zhu, L.

    “…The Utah State University Gauss‐Markov Kalman Filter (GMKF) was developed as part of the Global Assimilation of Ionospheric Measurements (GAIM) program. The…”
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  6. 6

    Effects of the vertical plasma drift velocity on the generation and evolution of equatorial spread F by Fejer, B. G., Scherliess, L., Paula, E. R.

    “…We use radar observations from the Jicamarca Observatory from 1968 to 1992 to study the effects of the F region vertical plasma drift velocity on the…”
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  7. 7

    Space weather forecasting with a Multimodel Ensemble Prediction System (MEPS) by Schunk, R. W., Scherliess, L., Eccles, V., Gardner, L. C., Sojka, J. J., Zhu, L., Pi, X., Mannucci, A. J., Butala, M., Wilson, B. D., Komjathy, A., Wang, C., Rosen, G.

    Published in Radio science (01-07-2016)
    “…The goal of the Multimodel Ensemble Prediction System (MEPS) program is to improve space weather specification and forecasting with ensemble modeling. Space…”
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  8. 8

    Spatial correlations of day-to-day ionospheric total electron content variability obtained from ground-based GPS by Shim, J. S., Scherliess, L., Schunk, R. W., Thompson, D. C.

    “…The spatial correlations of day‐to‐day ionospheric TEC variations for four 30‐day long periods in 2004 (January, March/April, June/July, September/October)…”
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  9. 9

    Terminator field-aligned currents: A new finding from the Ionospheric Dynamics and Electrodynamics Data Assimilation Model by Zhu, L., Schunk, R. W., Eccles, V., Scherliess, L., Sojka, J. J., Gardner, L.

    “…A new field‐aligned current system in the high‐latitude ionosphere has been discovered. The finding was based on the reconstructions from the Ionospheric…”
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  10. 10

    Problems associated with uncertain parameters and missing physics for long-term ionosphere-thermosphere forecasting by Schunk, R. W., Gardner, L., Scherliess, L., Zhu, L.

    Published in Radio science (01-08-2012)
    “…Data assimilation models like the Utah State University (USU) Global Assimilation of Ionospheric Measurements (GAIM) models use physics‐based models of the…”
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  11. 11

    Comparing daytime, equatorial E × B drift velocities and TOPEX/TEC observations associated with the 4-cell, non-migrating tidal structure by Anderson, D., Araujo-Pradere, E., Scherliess, L.

    Published in Annales geophysicae (1988) (20-07-2009)
    “…We investigate the seasonal and longitude dependence of the daytime, vertical E×B drift velocities, on a day-to-day basis, using a recently-developed technique…”
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  12. 12

    Development of a physics-based reduced state Kalman filter for the ionosphere by Scherliess, L., Schunk, R. W., Sojka, J. J., Thompson, D. C.

    Published in Radio science (01-02-2004)
    “…A physics‐based data assimilation model of the ionosphere is under development as the central part of a Department of Defense/Multidisciplinary University…”
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  13. 13
  14. 14

    Driving the TING model with GAIM electron densities: Ionospheric effects on the thermosphere by Jee, G., Burns, A. G., Wang, W., Solomon, S. C., Schunk, R. W., Scherliess, L., Thompson, D. C., Sojka, J. J., Zhu, L.

    “…In order to study the effects of ionospheric plasma densities on the thermosphere, the electron and O+ densities in the Thermosphere Ionosphere Nested Grid…”
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  15. 15

    Assessing models for ionospheric weather specifications over Australia during the 2004 Climate and Weather of the Sun-Earth-System (CAWSES) campaign by Sojka, J. J., Thompson, D. C., Scherliess, L., Schunk, R. W., Harris, T. J.

    “…The Utah State University (USU) Global Assimilation of Ionospheric Measurements (GAIM) program is developing assimilation models to specify ionospheric…”
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  16. 16

    Neutral wind and plasma drift effects on low and middle latitude total electron content by Shim, J. S., Scherliess, L., Schunk, R. W., Thompson, D. C.

    “…A physics‐based numerical ionosphere/plasmasphere model (IPM) was used to study the effects of daytime neutral wind and electric field perturbations on the…”
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  17. 17

    The Utah State University Gauss–Markov Kalman filter of the ionosphere: The effect of slant TEC and electron density profile data on model fidelity by Thompson, D.C., Scherliess, L., Sojka, J.J., Schunk, R.W.

    “…The Utah State University (USU) Gauss–Markov Kalman filter (GMKF) of the ionosphere uses the Ionosphere Forecast Model (IFM) to provide the background…”
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  18. 18

    On the variability of equatorial F-region vertical plasma drifts by Fejer, B.G, Scherliess, L

    “…We use incoherent scatter radar measurements from the Jicamarca Observatory to study the variability of equatorial F-region vertical plasma drifts. The daytime…”
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  19. 19

    Validation study of the Ionosphere Forecast Model using the TOPEX total electron content measurements by Zhu, L., Schunk, R. W., Jee, G., Scherliess, L., Sojka, J. J., Thompson, D. C.

    Published in Radio science (01-10-2006)
    “…As a part of the validation program in the Utah State University Global Assimilation of Ionospheric Measurement (GAIM) project, a newly improved Ionosphere…”
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  20. 20

    Recent approaches to modeling ionospheric weather by Schunk, R.W., Scherliess, L., Sojka, J.J.

    Published in Advances in space research (2003)
    “…The ionosphere is a complex and dynamic medium that exhibits weather features at all latitudes and longitudes. The weather features are driven by internal…”
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