Peer-reviewed Articles (*articles by graduate students or postdocs mentored by Tomoko Matsuo)

  • Lin, C.-Y., T. Matsuo, J. Y. Liu, C. H. Lin, H. F. Tsai, and C. Y. Chen (2017), Data assimilation of ground-based GPS and radio occultation total electron content for global ionospheric specification, J. Geophys. Res. Space Physics, under review.
  • Fan*, M., D. Paul, T. C. M. Lee, and T. Matsuo (2017), Multi-resolution model for non-Gaussian random fields on a sphere with application to ionospheric electrostatic potentials, Annals of Applied Statistics, under review.
  • Fan*, M., D. Paul, T. C. M. Lee, and T. Matsuo (2017), Modeling tangent vector fields on the sphere, Journal of the American Statistical Association, under review.
  • Smith, A. K., N. M. Pedatella, D. R. Marsh, and T. Matsuo (2017), On the dynamical control of the mesosphere-lower thermosphere by the lower and middle atmosphere, Journal of the Atmospheric Sciences, 74, 933-947, doi:10.1175/JAS-D-16-0226.1.
  • Chen, C. H., C. H. Lin, W. H. Chen, and T. Matsuo (2017), Modeling the ionospheric pre-reversal enhancement using coupled thermosphere-ionosphere data assimilation, Geophys. Res. Lett., 44, 1652-1659, doi:10.1002/2016GL071812.
  • Chen, C. H., C. H. Lin, T. Matsuo, W. H. Chen (2016), Ionosphere data assimilation modeling of 2015 St. Patrick's day geomagnetic storm, J. Geophys. Res. Space Physics, 121, 11,549-11,559, doi:10.1002/2016JA023346.
  • Chen, C. H., C. H. Lin, J. Y. Liu, T. Matsuo, W. H. Chen (2016), The impact of FORMOSAT-5/AIP on the ionospheric space weather, Terrestrial, Atmospheric and Oceanic Sciences Journal, doi: 10.3319/TAO.2016.09.30.01(EOF5).
  • McGranaghan*, R., D. J. Knipp, and T. Matsuo (2016), High-latitude ionospheric conductivity variability in three dimensions, Geophysical Research Letters, 43, doi:10.1002/2016GL070253.
  • McGranaghan*, R., D. J. Knipp, T. Matsuo, and E. D. P. Cousins (2016), Optimal interpolation analysis of highlatitude ionospheric Hall and Pedersen conductivities: Application to assimilative ionospheric electrodynamics reconstruction, J. Geophys. Res. Space Physics, 121, 4898-4923, doi:10.1002/2016JA022486.
  • Chen, C. H., W. H. Chen, C. H. Lin, I. T. Lee, T. Matsuo, J. T. Lin, J. Y. Liu, and C. T. Hsu (2016), Ionospheric data assimilation with TIE-GCM and GPS-TEC during geomagnetic storm conditions, J. Geophys. Res. Space Physics,121, 5708-5722, doi:10.1002/2015JA021787.
  • Chartier*, A. T., T. Matsuo, J. L. Anderson, N. Collins, T. J. Hoar, G. Lu, C. N. Mitchell, A. J. Coster, L. J. Paxton, G. S. Bust (2016), Ionospheric data assimilation and forecasting during storms, J. Geophys. Res. Space Physics, 121, 764-778, doi: 10.1002/2014JA020799.
  • McGranaghan*, R., D. J. Knipp, T. Matsuo, H. Godinez, R. J. Redmon, S. C. Solomon, and S. K. Morley (2015), Modes of high-latitude auroral conductance variability derived from DMSP energetic electron precipitation observations: Empirical Orthogonal Function (EOF) analysis, J. Geophys. Res. Space Physics, 120, 11,013-11,031, doi:10.1002/2015JA021828.
  • Cousins*, E. D. P., T. Matsuo, and A. D. Richmond (2015), Mapping high-latitude ionospheric electrodynamics with SuperDARN and AMPERE, J. Geophys. Res. Space Physics, 120, 5854-5870, doi:10.1002/2014JA020463.
  • Cousins*, E. D. P., T. Matsuo, A. D. Richmond, and B. J. Anderson (2015), Dominant modes of variability in large-scale Birkeland currents, J. Geophys. Res. Space Physics, 120, 6722-6735, doi:10.1002/2014JA020462.
  • Matsuo, T., D. L. Knipp, A. D. Richmond, L. Kilcommons, and B. J. Anderson (2015), Inverse procedure for high-latitude ionospheric electrodynamics: Analysis of satellite-borne magnetometer data, J. Geophys. Res. Space Physics, 120, 5241-5251, doi:10.1002/2014JA020565.
  • Sun*, Y.-Y., T. Matsuo, N. Maruyama, and J.-Y. Liu (2015), Field-aligned neutral wind bias correction scheme for global ionospheric modeling at midlatitudes by assimilating FORMOSAT-3/COSMIC hmF2 data under geomagnetically quiet conditions, J. Geophys. Res. Space Physics, 120, 3130-3149, doi:10.1002/2014JA020768.
  • Lin*, C.-Y., T. Matsuo, J. Y. Liu, C. H. Lin, H. F. Tsai, and E. A. Araujo-Pradere (2015), Ionospheric assimilation of radio occultation and ground-based GPS data using non-stationary background model error covariance, Atmos. Meas. Tech., 8, 171-182, doi:10.5194/amt-8-171-2015
  • Hsu*, C.-H., T. Matsuo, W. Wang, and J. Y. Liu (2014), Effects of inferring unobserved thermospheric and ionospheric state variables by using an ensemble Kalman filter on global ionospheric specification and forecasting, J. Geophys. Res. Space Physics, 119, 9256–9267, doi:10.1002/2014JA020390
  • Knipp, D. J., T. Matsuo, L. Kilcommons, A. Richmond, B. Anderson, H. Korth, R. Redmon, B. Mero, and N. Parrish (2014), Comparison of magnetic perturbation data from LEO satellite constellations: Statistics of DMSP and AMPERE, Space Weather, 12, doi:10.1002/2013SW000987
  • Matsuo, T. (2014), Upper atmosphere data assimilation with an ensemble Kalman filter, in Modeling the Ionosphere-Thermosphere System, Geophys. Monogr. Ser., vol. 201, edited by J. Huba, R. Schunk, and G. Khazanov, pp. 273-282, John Wiley & Sons, Ltd, Chichester, UK, doi:10.1002/9781118704417
  • Cousins*, E. D. P., T. Matsuo, A. D. Richmond (2013), Mesoscale and large-scale variability in high-latitude ionospheric convection: dominant modes and spatial/temporal coherence, J. Geophys. Res. Space Physics, 118, doi:10.1002/2013JA019319
  • Cousins*, E. D. P., T. Matsuo, and A. D. Richmond (2013), SuperDARN assimilative mapping, J. Geophys. Res. Space Physics, 118, doi:10.1002/2013JA019321
  • Lee*, I. T., H. F. Tsai, J. Y. Liu, T. Matsuo, and L. C. Chang (2013), Modeling impact of FORMOSAT-7/COSMIC-2 mission on ionospheric space weather monitoring, J. Geophys. Res. Space Physics, 118, 6518-6523, doi:10.1002/jgra.50538
  • Sun*, Y.-Y., T. Matsuo, E. A. Araujo-Pradere, and J. Y. Liu (2013), Ground-based GPS observation of SED associated irregularities over CONUS, J. Geophys. Res. Space Physics, 118, 2478-2489, doi:10.1029/2012JA018103
  • Matsuo, T., I. T. Lee, and J. L. Anderson, Thermospheric mass density specification using an ensemble Kalman filter (2013), J. Geophys. Res. Space Physics, 118, 1339-1350, doi:10.1002/jgra.50162
  • Lee*, I. T., T. Matsuo, A. D. Richmond, J. Y. Liu, W. Wang, C. H. Lin, J. L. Anderson, and M. Q. Chen, Assimilation of FORMOSAT-3/COSMIC electron density profiles into thermosphere/Ionosphere coupling model by using ensemble Kalman filter (2012), J. Geophys. Res. Space Physics, 117, A10318, doi:10.1029/2012JA017700
  • Matsuo, T., M. Fedrizzi, T. J. Fuller-Rowell, and M. Codrescu, Data assimilation of thermospheric mass density (2012), Space Weather, 10, S05002, doi:10.1029/2012SW000773
  • Lei, J., T. Matsuo, X. Dou, E. Sutton, and X. Luan (2012), Annual and semiannual variations of thermospheric density: EOF analysis of CHAMP and GRACE data, J. Geophys. Res. Space Physics, 117, A01310, doi:10.1029/2011JA017324
  • Codrescu, M. V., C. Negrea, M. Fedrizzi, T. J. Fuller-Rowell, A. Dobin, N. Jakowsky, H. Khalsa, T. Matsuo, and N. Maruyama, A real-time run of the Coupled Thermosphere Ionosphere Plasmasphere Electrodynamics (CTIPe) model (2012), Space Weather, 10, S02001, doi:10.1029 /2011SW000736
  • Matsuo, T., and E. A. Araujo-Pradere (2011), Role of thermosphere-ionosphere coupling in a global ionosphere specification, Radio Science, 46, RS0D23, doi:10.1029/2010RS004576
  • Matsuo, T., D. W. Nychka, and D. Paul (2011), Nonstationary covariance modeling for incomplete data: Monte Carlo EM approach, Computational Statistics and Data Analysis, 55, 2059-2073
  • Matsuo, T., and J. M. Forbes (2010), Principal modes of thermospheric density variability: Empirical orthogonal function analysis of CHAMP 2001-2008 data, J. Geophys. Res. Space Physics, 115, doi:10.1029/2009JA015109
  • Cosgrove, R. B., G. Lu, H. Bahcivan, T. Matsuo, C. J. Heinselman, and M. A. McCready (2009), Comparison of AMIE modeled and Sondrestrom measured Joule heating: a study in model resolution and electric field/conductivity correlation, J. Geophys. Res. Space Physics, 114, doi:10.1029/2008JA013508
  • Amm, O., A. Aruliah, S. C. Buchert, R. Fujii, J. W. Gjerloev, A. Ieda, T. Matsuo, C. Stolle, H. Vanhamaki, and A. Yoshikawa (2008), Understanding the electrodynamics of the 3-dimensional high-latitude ionosphere: present and future, Annals of Geophysics, 26, 3913-3932
  • Matsuo, T., and A. D. Richmond (2008), Effects of high-latitude ionospheric electric field variability on global thermospheric Joule heating and mechanical energy transfer rate, J. Geophys. Res. Space Physics, 113, doi:10.1029/2007JA012993
  • Matsuo, T., A. D. Richmond, and G. Lu (2005), Optimal Interpolation analysis of high-latitude ionospheric electrodynamics using empirical orthogonal functions: Estimation of dominant modes of variability and temporal scales of large-scale electric fields, J. Geophys. Res. Space Physics, 110, doi:10.1029/2004JA010531
  • Matsuo, T., A. D. Richmond, and K. Hensel (2003), High-latitude ionospheric electric field variability and electric potential derived from DE-2 plasma drift measurements: dependence on IMF and dipole tilt, J. Geophys. Res. Space Physics, 108, doi:10.1029/2002JA009429
  • Matsuo, T., A. D. Richmond, and D. W. Nychka (2002), Modes of high-latitude electric field variability derived from DE-2 measurements: Empirical Orthogonal Function (EOF) analysis, Geophys. Res. Lett., 29(7), doi:10.1029/2001GL014077
  • Fuller-Rowell, T. J., T. Matsuo, M. V. Codrescu, and F. A. Marcos (1999), Modeling thermospheric neutral density waves and holes in response to high-latitude forcing, Advances in Space Research, 24, 1447-1458