General References

  • Nishizawa, S., H. Yashiro, Y. Sato, Y. Miyamoto, and H. Tomita, 2015, Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations, Geosci. Model Dev., 8, 3393-3419, doi:10.5194/gmd-8-3393-2015
  • Sato, Y., S. Nishizawa, H. Yashiro, Y. Miyamoto, Y. Kajikawa,and H. Tomita, 2015, Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation?, Prog. Earth Planet. Sci., 2, 23, doi:10.1186/s40645-015-0053-6

Publications

2019

  • Sueki, K., T. Yamaura, H. Yashiro, S. Nishizawa, R. Yoshida, Y. Kajikawa, and H. Tomita, 2019, Convergence of convective updraft emsembles with respect to the grid spacing of atmospheric models. Geophys. Res. Lett., 46, 14817-14825, doi:10.1029/2019GL084491
  • Sato, Y., Y. Miyamoto, and H. Tomita, 2019, Large Dependency of Charge Distribution in a Tropical Cyclone Inner Core upon Aerosol Number Concentration, Prog. in Earth and Planet. Sci., 6(62), doi:10.1186/s40645-019-0309-7
  • Masuda, R., H. Iwabuchi, K. S. Schmidt, A. Damiani, and R. Kudo, 2019, Retrieval of Cloud Optical Thickness from Sky-View Camera Images using a Deep Convolutional Neural Network based on Three-Dimensional Radiative Transfer, Remote Sens., 11(17), 1962, doi:10.3390/rs11171962
  • Tanji, S., and M. Inatsu, 2019, Case Study of Drifting Snow Potential Diagnosis with Dynamical Downscaling, SOLA, 15, 32-36, doi:10.2151/sola.2019-007
  • Adachi, S. A., S. Nishizawa, K. Ando, T. Yamaura, R. Yoshida, H. Yashiro, Y. Kajikawa, and H. Tomita, 2019, An evaluation method for uncertainties in regional climate projections. Atmos. Sci. Lett., 20, e877, doi:10.1002/asl.877
  • Yoshida, R., S. Nishizawa, H. Yashiro, S. A. Adachi, T. Yamaura, H. Tomita, and Y. Kajikawa, 2019, Maintenance condition of back-building squall-line in a numerical simulation of a heavy rainfall event in July 2010 in Western Japan, Atmos. Sci. Lett., 20, e880, doi:10.1002/asl.880

2018

  • Nishizawa, S. and Y. Kitamura, 2018, A surface flux scheme based on the Monin-Obukhov similarity for finite volume models. J. Adv. Model. Earth Syst., 10, 3159-3175, doi:10.1029/2018MS001534
  • Sato, Y., M. Takigawa, T. T. Sekiyama, M. Kajino, H. Terada, H. Nagai, H. Kondo, J. Uchida, D. Goto, D. Quélo, A. Mathieu, A. Quérel, S. Fang, Y. Morino, P. von Schoenberg, H. Grahn, N. Brännström, S. Hirao, H. Tsuruta, H. Yamazawa, and T. Nakajim, 2018, Model Intercomparison of Atmospheric 137Cs from the Fukushima Daiichi Nuclear Power Plant Accident: Simulations Based on Identical Input Data, J. Geophys. Res. Atmos. 123, 11748-11765, doi:10.1029/2018JD029144
  • Sato, Y., S. Shima, and H. Tomita, 2018, Numerical Convergence of Shallow Convection Cloud Field Simulations: Comparison between Double-moment Eulerian and Particle-based Lagrangian Microphysics Coupled to the Same Dynamical Core, J. Adv. Model. Earth Syst., 10, 1495-1512, doi:10.1029/2018MS001285
  • Honda, T., T. Miyoshi, G.-Y. Lien, S. Nishizawa, R. Yoshida, S. A. Adachi, K. Terasaki, K. Okamoto, H. Tomita and K. Bessho, 2018, Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015), Mon. Weather Rev., doi:10.1175/MWR-D-16-0357.1
  • Honda, T., S. Kotsuki, G.-Y. Lien, Y. Maejima, K. Okamoto and T. Miyoshi, 2018, Assimilation of Himawari-8 All-Sky Radiances Every 10 Minutes: Impact on Precipitation and Flood Risk Prediction, J. Geophys. Res.-Atmos., doi:10.1002/2017JD027096
  • Nishizawa, S., S. A. Adachi, Y. Kajikawa, T. Yamaura, K. Ando, R. Yoshida, H. Yashiro, and H. Tomita, 2018, Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study, Prog. Earth Planet. Sci., 5, 2, doi:10.1186/s40645-017-0159-0

2017

  • Adachi, S. A., S. Nishizawa, R. Yoshida, T. Yamaura, K. Ando, H. Yashiro, Y. Kajikawa, and H. Tomita, 2017, Contributions of changes in climatology and perturbation and the resulting nonlinearity to regional climate change, Nat. Commun., 8, 2224, doi:10.1038/s41467-017-02360-z
  • Okamura, R., H. Iwabuchi, and K. Sebastian Schmidt, 2017, Feasibility study of multi-pixel retrieval of optical thickness and droplet effective radius of inhomogeneous clouds using deep learning, Atmos. Meas. Tech., 10, 4747-4759, doi:10.5194/amt-10-4747-2017
  • Iwabuchi, H., and R. Okamura, 2017, Multispectral Monte Carlo radiative transfer simulation by the maximum cross-section method, J. Quant. Spectrosc. Radiat. Transfer, 193, 40-46, doi:10.1016/j.jqsrt.2017.01.025
  • Tokutake, H., H. Hiraguri, and S. Nishizawa, 2017, Exploration of Wind Structure on Mars using an Airplane and Flight Feasibility Study, Trans. Jpn. Soc. Aeronaut. Space Sci., doi:10.2322/tjsass.60.212
  • Liao, J., B. Gerofi, G. Yuan Lien, T. Miyoshi, S. Nishizawa, H. Tomita, W. Keng Liao, A. Choudhary, and Y. Ishikawa, 2017, A flexible I/O arbitration framework for netCDF-based big data processing workflows on high-end supercomputers, Concurrency-Pract. Exp., doi:10.1002/cpe.4161
  • Sato, Y., S. Shima, and H. Tomita, 2017, A grid refinement study of trade wind cumuli simulated by a Lagrangian cloud microphysical model: the super-droplet method, Atmos. Sci. Lett., doi:10.1002/asl.764
  • Yoshida, R., S. Nishizawa, H. Yashiro, S. A. Adachi, Y. Sato, T. Yamaura, and H. Tomita, 2017, CONeP: A Cost-Effective Online Nesting Procedure for Regional Atmospheric Models, Parallel Comput., 65, 21-31, doi:10.1016/j.parco.2017.04.004

2016

  • Miyoshi, T., G. Yuan Lien, S. Satoh, T. Ushio, K. Bessho, H. Tomita, S. Nishizawa, R. Yoshida, S. A. Adachi, J. Liao, B. Gerofi, Y. Ishikawa, M. Kunii, J. Ruiz, Y. Maejima, S. Otsuka, M. Otsuka, K. Okamoto, and H. Seko, 2016, “Big Data Assimilation” Toward Post-Petascale Severe Weather Prediction: An Overview and Progress, Proceedings of the IEEE, doi:10.1109/JPROC.2016.2602560
  • Nishizawa, S., M. Odaka, Y. O. Takahashi, K. Sugiyama, K. Nakajima, M. Ishiwatari, S. Takehiro, H. Yashiro, Y. Sato, H. Tomita, and Y.-Y. Hayashi, 2016: Martian dust devil statistics from high-resolution large-eddy simulations, Geophys. Res. Lett., 43, 4180–4188

2015

  • Nishizawa, S., H. Yashiro, Y. Sato, Y. Miyamoto, and H. Tomita, 2015, Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations, Geosci. Model Dev., 8, 3393-3419, doi:10.5194/gmd-8-3393-2015
  • Sato, Y., S. Nishizawa, H. Yashiro, Y. Miyamoto, Y. Kajikawa,and H. Tomita, 2015, Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation?, Prog. Earth Planet. Sci., 2, 23, doi:10.1186/s40645-015-0053-6
  • Sato, Y., Y.Miyamoto, S. Nishizawa, H. Yashiro, Y. Kajikawa, R. Yoshida, T. Yamaura, and H. Tomita, 2015, Horizontal Distance of Each Cumulus and Cloud Broadening Distance Determine Cloud Cover, SOLA, 11, 75-79, doi:10.2151/sola.2015-019

2014

  • Sato. Y, S. Nishizawa, H. Yashiro, Y. Miyamoto, and H. Tomita, 2014, Potential of Retrieving Shallow-Cloud Life Cycle from Future Generation Satellite Observations through Cloud Evolution Diagrams: A Suggestion from a Large Eddy Simulation, SOLA, 10, 10-14, doi:10.2151/sola.2014-003

2013

  • Abe, T., T. Maeda, and M. Sato, Model checking stencil computations written in a partitioned global address space language, 2013, In Proceedings of the 18th Workshop on High-Level Parallel Programming Models and Supportive Environments, pages 365-374. Cambridge., doi:10.1109/IPDPSW.2013.90