Hiromu Seko

Japanese
Job titleHead
SectionThe 2nd lab./Forecast Research Department
E-mail
Personalhttp://www.mri-jma.go.jp/Dep/fo/lab2/member/hseko/index.html
ExpertiseData assimilation and Mesoscale meteorology
Aim of researches is the improvement of short-range forecasts by developments of data assimilation method and of ensemble forecast methods. The extraction method of information concerning their accuracy and uncertainty is also included in my research fields.
DegreePh.D
Publications
  • Seko, H., E. Sato, H. Yamauchi, T. Tsuda, 2017: Data Assimilation Experiments of Refractivity Observed by JMA Operational Radar. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications , 3, 327-336.
  • Seko, H., M. Kunii, S. Yokota, T. Tsuyuki, and T. Miyoshi, 2015: Ensemble Forecast Experiments of Tornado Occurring on 6th May 2012 using a nested LETKF system. Progress in Earth and Planetary Science. 2:42.
  • Seko, H., T. Tsuyuki, K. Saito, and T. Miyoshi, 2013: Development of a Two-way Nested LETKF System for Cloud Resolving Model. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, 2, 489-507..
  • Seko, H., S. Hayashi, and K. Saito, 2012: Processes Generating Convection Cells near Sumatra Island in the Monsoon Season. Papers in Meteorology and Geophysics, 63, 57-67.
  • Seko, H., T. Miyoshi, Y. Shoji and K. Saito, 2011: Data Assimilation Experiments of Precipitable Water Vapor using the LETKF system -An intense rainfall event over Japan 28 July 2008-. Tellus, 63A, 402-41.
  • Seko, H., M. Kunii, Y. Shoji, and K. Saito, 2010: Improvement of rainfall forecast by assimilations of ground-based GPS data and radio Occultation data. SOLA, 6, 81-84.
  • Seko, H., H. Yamauchi, O. Suzuki and K. Saito, 2009: Estimation of Temporal Variation of Refractive Index Using C-band Doppler Radar Equipped with Magnetron Transmitter. SOLA, 5, 145-148.
  • Seko, H., K. Saito, M. Kunii and M. Kyouda, 2009: Mesoscale Ensemble Experiments on Potential Parameters for Tornado Outbrea. SOLA, 5, 57-60.
  • Seko, H., Y. Shoji, M. Kunii and Y. Aoyama, 2009: Impact of the CHAMP occultation data on the rainfall forecast. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications, 1, 197-218.
  • Seko, H., S. Hayashi, M. Kunii and K. Saito, 2008: Structure of the Regional Heavy Rainfall System that Occurred in Mumbai, India, on 26 July 200. SOLA, 4, 129-132.
  • Seko H., Y. Shoji and F. Fujibe, 2007: Evolution and Air flow Structure of a Kanto Thunderstorm on 21 July 1999 (the Nerima Heavy Rainfall Event). J. Meteor. Soc. Japan, 85, 455-477.
  • Seko, H., and H. Nakamura, 2005: Analytical and numerical studies on meso-β scale precipitation bands observed over southern Kyushu on 7 July 1996. Pap. Met. Geophys, 55, 55-74.
  • Seko, H., T. Kawabata, T. Tsuyuki, H. Nakamura, and K. Koizumi, 2004: Impacts of GPS-derived Water Vapor and Radial Wind Measured by Doppler Radar on Numerical Prediction of Precipitation. J. Meteor. Soc. Japan, 82, 483-489.
  • Seko, H., H. Nakamura, Y. Shoji, and T. Iwabuchi, 2004: The Meso-γ scale Water Vapor Distribution Associated with a Thunderstorm Calculated from a Dense Network of GPS Receivers. J. Meteor. Soc. Japan, 82, 569-586.
  • Seko, H., H. Nakamura, and S. Shimada, 2004: An Evaluation of Atmospheric Models for GPS data Retrieval by Output from a Numerical Weather Model. J. Meteor. Soc. Japan, 82, 339-350.
Project
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