Dr. Takamichi Iguchi

Research Associate, ESSIC UMCP
Mesoscale Atmospheric Processes Laboratory (Code 612)
NASA Goddard Space Flight Center
Greenbelt, MD 20771
phone: +1-301-614-6225
e-mail: takamichi.iguchi@nasa.gov



  • March 2007 Ph. D. in Earth and Planetary Science, The University of Tokyo
  • March 2003 Master in Earth and Planetary Science, The University of Tokyo
  • March 2001 Bachelor in Earth and Planetary Physics, The University of Tokyo


Research Experience:

  • July 2016 – Present Assistant Research Scientist of ESSIC UMCP / NASA GSFC
  • May 2009 – June 2016 Research Associate of ESSIC UMCP / NASA GSFC
  • April 2007 – May 2009 Postdoctoral Researcher of Frontier Sciences Project in Center for Climate System Research, The University of Tokyo


Synergetic Activities:

  • Outstanding Performance Science Award (NASA/GSFC, Earth Sciences Division Atmospheres), 2018
  • NASA Group Achievement Award to Goddard Mesoscale Dynamics and Modeling Group, 2017
  • Outstanding scientific research award (NASA GSFC, Mesoscale Atmospheric Processes Laboratory, 2012) 
  • Reviewer of NASA/NSF/DOE proposals: 2013 ~ Present 
  • Reviewer of MSJ/AGU/AMS publications: 2007 ~ Present 
  • Proposal review panel of DOE-ASR: 2016


Research Interests: 

Dr. Iguchi takes a strong interest in cloud and precipitation microphysics, particularly approaches based on the numerical modeling and simulation. The principal achievement is the development of the Japan Meteorological Agency Nonhydrostatic Model (JMA-NHM) coupled with a spectral bin microphysics of Hebrew University Cloud Model (HUCM), and the Weather Research and Forecasting model (WRF) coupled with the same spectral bin microphysics. In addition, the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS) has been proposed and developed for better regional cloud resolving simulations through dynamical downscaling of aerosol loading information from large-scale aerosol transport simulations. A large number of case-study simulations have been conducted for various cloud and precipitation scenes in field measurement campaigns of the Asian Atmospheric Particulate Environment Change Studies (APEX) and the NASA Global Precipitation Measurement Mission (GPM) Ground Validation (GV) programs. Development of the numerical models has been supported through comparison with various measurement data for better understanding of cloud and precipitation processes.


Research Skills:

Dr. Iguchi has great experiences of using Fortran 77/90/95, MPI library, shell script on UNIX/Linux systems, and graphical tools, e.g. GrADS, NetCDF and GMT. The principal result of the model development is the coupling mesoscale models, i.e. Japan Meteorological Agency Nonhydrostatic Model (JMA-NHM) and Weather Research and Forecasting model (WRF) with a spectral bin microphysics (SBM) for cloud.



  1. Tao, W.-K., J. Chern, T. Iguchi, S. Lang, M.-J. Lee, X. Li, A. Loftus, T. Matsui, K. Mohr, S. Nicholls, C. Peters-Lidar, D. Posselt, and G. Skofronick-Jackson, 2017: Microphysics in Goddard Multi-scale Modeling Systems. “Current trend in the Representation of Physical Processes in Weather and Climate Models” by Springer Nature, 253-316.

  2. Han, M., S. A. Braun, T. Matsui, and T. Iguchi, 2018: Comparisons of bin and bulk microphysics schemes in simulations of topographic winter precipitation with radar and radiometer measurements, Quarterly Journal of the Royal Meteorological Society, 144, 1926-1946, doi: 10.1002/qj.3393.

  3. Iguchi, T., T. Matsui, Z. Tao, D. Kim, C. M. Ichoku, L. Ellison, and J. Wang, 2018: NU-WRF aerosol transport simulation over West Africa: Effects of biomass burning on smoke aerosol distribution, J. Appl. Meteor. Climatol., 57, 1551–1573. doi: 10.1175/JAMC-D-17-0278.1.

  4. Iguchi, T. and T. Matsui, 2018: Advances in clouds and precipitation modeling supported by remote sensing measurements. Remote Sensing of Clouds and Precipitation. C. Andronache (eds) Springer Remote Sensing/Photogrammetry. Springer, Cham, 257-277. doi: 10.1007/978-3-319-72583-3_10.

  5. Kim, J., B. Guan, D. E. Waliser, R. D. Ferraro, J. Case, T. Iguchi, E. Kemp, W. Putman, W. Wang, D. Wu, and B. Tian, 2018: Winter precipitation characteristics in western US related to atmospheric river landfalls: observations and model evaluations, Climate Dynamics, 50, 231-248. DOI: 10.1007/s00382-017-3601-5.

  6. Tian, B., H. Lee, D. Waliser, R. Ferraro, J. Kim, J. Case, T. Iguchi, E. Kemp, D. Wu, W. Putman, and W. Wang, 2017: Development of a model performance metric and its application to assess summer precipitation over the US Great Plains in downscaled climate simulations, Journal of Hydrometeorology, 18, 2781–2799. doi: 10.1175/JHM-D-17-0045.s1.

  7. Lee, H., D. E. Waliser, R. Ferraro, T. Iguchi, C. D. Peters-Lidard, B. Tian, P. C. Loikith, and D. B. Wright, 2017: Evaluating hourly rainfall characteristics over the US Great Plains in dynamically downscaled climate model simulations using NASA-Unified WRF (NU-WRF), Journal of Geophysical Research – Atmospheres, 122. DOI: 10.1002/2017JD026564.

  8. Iguchi, T., W.-K. Tao, D. Wu, C. Peters-Lidard, J. Santanello, E. Kemp, Y. Tian, J. Case, W. Wang, R. Ferraro, D. Waliser, J. Kim, H. Lee, B. Guan, B. Tian, P. Loikith, 2017: Sensitivity of CONUS summer rainfall to the selection of cumulus parameterization schemes in NU-WRF seasonal simulations, Journal of Hydrometeorology, 18, 1689–1706, doi: 10.1175/JHM-D-16-0120.1.

  9. Iguchi, T., I.-J. Choi, Y. Sato., K. Suzuki, and T. Nakajima, 2015: A development overview of the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS). Progress in Earth and Planetary Science, 2:45 doi: 10.1186/s40645-015-0075-0.

  10. Iguchi, T., T. Matsui, W.-K. Tao, A. Khain, V. Phillips, C. Kidd, T. L'Ecuyer, S. Braun, and A. Hou, 2014: WRF-SBM simulations of melting layer structure in mixed-phase precipitation events observed during LPVEx. J. Appl. Meteor. Climatol., 53, 2710-2731, doi:10.1175/JAMC-D-13-0334.1.

  11. Choi, I.-J., T. Iguchi, S.-W. Kim, T. Nakajima, and S.-C. Yoon, 2014: The effect of aerosol representation on cloud microphysical properties in northeast Asia. Meteorol. Atmos. Phys., 123, 181-194, doi:10.1007/s00703-013-0288-y.
  12. Matsui, T., T. Iguchi, X. Li, M. Han, W.-K. Tao, W. Petersen, T. LeCuyer, R. Meneghini, W. Olson, C. Kummerow, A. Hou, M. Schwaller, E. Stocker, and J. Kwiatkowski, 2013: GPM satellite simulator upon Ground Validation sites, Bull. Amer. Meteor. Soc., 94, 1653-1660. doi: 10.1175/BAMS-D-12-00160.1
  13. Iguchi, T., T. Matsui, A. Tokay, P. Kollias, and W.-K. Tao, 2012: Two distinct modes in one-day rainfall event during MC3E field campaign: Analyses of disdrometer observations and WRF-SBM simulation. Geophys. Res. Let., 39, L24805, doi:10.1029/2012GL053329.
  14. Iguchi, T., T. Matsui, J. J. Shi, W.-K. Tao, A. P. Khain, A. Hou, R. Cifelli, A. Heymsfield, and A. Tokay, 2012: Numerical analysis using WRF-SBM for the cloud microphysical structures in the C3VP field campaign: Impacts of supercooled droplets and resultant riming on snow microphysics. J. Geophys. Res., 117, D23206, doi:10.1029/2012JD018101.
  15. Iguchi, T., T. Nakajima, A. Khain, K. Saito, T. Takemura, H. Okamoto, T. Nishizawa and W.-K. Tao, 2012: Evaluation of cloud microphysics in JMA-NHM simulations using bin or bulk microphysical schemes through comparison with cloud radar observations., J. Atmos. Sci., 69, 2566-2586, DOI: 10.1175/JAS-D-11-0213.1.
  16. Sato, Y., K. Suzuki, T. Iguchi, I.-J. Choi, H. Kadowaki, T. Nakajima, 2012: Characteristics of correlation statistics between droplet radius and optical thickness of warm clouds simulated by a three-dimensional regional-scale spectral bin microphysics cloud model. J. Atmos. Sci., 69, 484–503, doi:10.1175/JAS-D-11-076.1
  17. Sato, Y., T. Nakajima, K. Suzuki, and T. Iguchi, 2009: Application of a Monte Carlo integration method to collision and coagulation growth processes of hydrometeors in a bin‐type model, J. Geophys. Res., 114, D9, doi:10.1029/2008JD011247.
  18. Iguchi, T., T. Nakajima, A. P. Khain, K. Saito, T. Takemura, and K. Suzuki, 2008: Modeling the influence of aerosols on cloud microphysical properties in the east Asia region using a mesoscale model coupled with a bin-based cloud microphysics scheme, J. Geophys. Res., 113, D14215, doi:10.1029/2007JD009774.


2) in press or accepted 


3) submitted

  1. Iguchi, T., T. Matsui, W.-K. Tao, A. Khain, V. T. J. Phillips, C. Kidd, T. L'Ecuyer, S. A. Braun, and A. Hou, 2013: WRF-SBM simulations of melting layer structure in mixed-phase precipitation events observed during LPVEx, J. Appl. Meteor. Climatol., submitted.


4) others 


  1. Tao, W.-K., T. Iguchi, S. Lang, 2018: Expanding the Goddard CSH Algorithm for GPM: New Extratropical Retrievals, J. Appl. Meteor. Climatol., in revision.
  2. Matsui, T., B. Dolan, S. A. Rutledge, W.-K. Tao, T. Iguchi, J. Barnum, and S. Lang, 2018: POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator, J. Geophys. Res., in revision.