Dr. Takamichi Iguchi is an Assistant Research Scientist at ESSIC, UMCP. His primary research inrerests are cloud microphysics, regional weather and climate modeling, atmospheric aerosols, and remote sensing measurements. He is working on the development of atmospheric models using a detailed scheme for cloud microphysics, e.g., WRF coupling with spectral-bin cloud microphysics (WRF-SBM) and the model validation using observational data.
Publications:
1) Published papers
Tao, W.-K., S. Lang, T. Iguchi, and Y. Song, 2022: Goddard Latent Heating Retrieval Algorithm for TRMM and GPM., J. Meteorol. Soc., 100-2, 293-320 https://doi.org/10.2151/jmsj.2022-015.
Iguchi, T., S. A. Rutledge, W.-K. Tao, T. Matsui, B. Dolan, S. Lang, and J. Barnum, 2020: Impacts of aerosol and environmental conditions on maritime and continental deep convective systems using a bin microphysical model, J. Geophys. Res., DOI:10.1029/2019JD030952.
Matsui, T., B. Dolan, T. Iguchi, S.A. Rutledge, W. Tao, and S. Lang, 2020: Polarimetric Radar Characteristics of Simulated and Observed Intense Convective Cores for a Midlatitude Continental and Tropical Maritime Environment. J. Hydrometeor., 21, 501–517, https://doi.org/10.1175/JHM-D-19-0185.1.
Matsui, T., B. Dolan, S. A. Rutledge, W.-K. Tao, T. Iguchi, J. Barnum, and S. Lang, 2019: POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator, J. Geophys. Res., 124. https://doi.org/10.1029/2018JD028317.
Tao, W.-K., T. Iguchi, S. Lang, 2019: Expanding the Goddard CSH Algorithm for GPM: New Extratropical Retrievals, J. Appl. Meteor. Climatol., 58, 921-946, doi: 10.1175/JAMC-D-18-0215.1.
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, 2019: 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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
Tao, W.-K., T. Iguchi, S. Lang, X. Li, K. Mohr, T. Matsui, S. van den Heever, and S. Braun, 2021: Relating Vertical Velocity and Cloud/Precipitation Properties: A Numerical Modeling Study, Journal of Advances in Modeling Earth Systems, in review.
Iguchi, T., T. Matsui, M. van Lier-Walqui, E. C. Bruning, A. M. Fridlind, E. R. Mansell, K. Brunner and T. Logan, 2022: NU-WRF EPIC daily forecasting for TRACER IOP over Houston: designs of the model simulations and results of pre-IOP case simulations, Geosci. Model Dev., submitted.