Hiromu Seko

Job titleHead
SectionThe 2nd lab./Forecast Research Department
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.
  • 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.
All Rights Reserved, Copyright © 2003, Meteorological Research Institute, Japan