Dr. Mio MATSUEDA
(松枝 未遠)   

Associate Professor
Faculty of Science, Department of Physics and Earth Science
University of the Ryukyus

Collaborative Fellow
Center for Computational Sciences
University of Tsukuba

 		mio
Jesus College, Oxford

Links

  The TIGGE Museum (products of medium-range ensemble forecasts)
  The S2S Museum (products of subseasonal to seasonal ensemble forecasts)
  The Copernicus Museum (products of seasonal ensemble forecasts)


Journal Reviews

Atmospheric Science Letters
Climate Dynamics
Geophysical Research Letters
Journal of Climate
Journal of the Meteorological Society of Japan
Scientific Online Journal of the Atmosphere
Tellus


Awards

2017
University of Tsukuba Young Faculty Award

2016
Meteorological Society of Japan Syono Award (details in Japanese) [photos] [award talk slide in Japanese] 

2014
Certificate of appreciation from World Meteorological Organization (WMO) (details in Japanese)
Meteorological Research Institute Research Award (TIGGE product team at MRI, products available here)
 		spaghetti
UnionJack



Peer review papers

2024
[44] Yamaki, T., Y. Asaga, and M. Matsueda, 2024: Flowering-date forecast of cherry blossom in Tokyo using seasonal ensemble forecasts. Climate in Biosphere, 24, 36-42.  doi:10.2480/cib.J081. (in Japanese) [link]  new!!

2023
[43] Matsunobu, T., J. F. Quinting, C. M. Grams, and M. Matsueda, 2023: Regional extreme precipitation events in wintertime Japan facilitated by East-Asian large-scale flow patterns. SOLA, 19, 253-260.  doi:10.2151/sola.2023-033. [link]

[42] Inatsu, M., M. Matsueda, N. Nakano, and S. Kawazoe, 2023: Prediction skill and practical predictability depending on the initial atmospheric states in S2S forecasts. J. Atmos. Soc., 80, 1449-1462. [link]

2022
[41] Magnusson, L., D. Ackerley, Y. Bouteloup, J.-H. Chen, J. Doyle, P. Earnshaw, Y. C. Kwon, M. Koeher, S. T. K. Lan, Y.-J. Li, M. Matsueda, T. Matsunobu, R. McTaggart-Cowan, A. Reinecke, M. Yamaguchi, and L. Zhou , Skill of medium-range forecast models using the same initial conditions. Bull. Amer. Meteor. Soc.. 103, E2050-E2068. doi: 10.1175/BAMS-D-21-0234.1. [link]

[40] Nakanowatari, N., J. Xie, L. Bertino, M. Matsueda, A. Yamagami, and J. Inoue, 2022: Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. Environmental Research, 209, 112769. doi: 10.1016/j.envres.2022.112769. [link]

2021
[39] Yamagami, A. and M. Matsueda, 2021: Statistical characteristics of Arctic forecast busts and their relationship to Arctic weather patterns in summer. Atmos. Sci. Lett., 22, e1038. doi:10.1002/asl.1038. [link]

2020
[38] Yamagami, A. and M. Matsueda, 2020: Sub-seasonal Forecast Skill for Weekly Mean Atmospheric Variability over the Northern Hemisphere in Winter and its Relationship to Mid-Latitude Teleconnections. Geophys. Res. Lett., 47, e2020GL088508. doi:10.1029/2020GL088508. [link]

2019
[37] Subramanian, A., M. A. Balmaseda, R. Chattopadhyay, L. R. Centurioni, B. D. Cornuelle, C. DeMott, T. Hamill, H. Hendon, I. Hoteit, M. Flatau, Y. Fujii, S. T. Gille, A. Kumar, J. -H. Lee, D. Lucas, M. Matsueda, A. Mahadevan, S. H. Nam, S. Paturi, S. G. Penny, A. Rydbeck, R. Sun, A. Tandon, Y. Takaya, R. E. Todd, F. Vitart, D. Yuan and C. Zhang, 2019: Ocean observations to improve our understanding, modeling, and forecasting of subseasonal-to-seasonal variability. Front. Mar. Sci., doi:10.3389/fmars.2019.00427.[link]

[36] Strommen, K., I. Mavilia, S. Corti, M. Matsueda, P. Davini, J. von Hardenberg, P. L. Vidale, and R. Mizuta, 2019: The Sensitivity of Euro-Atlantic Regimes to Model Horizontal Resolution. Geophys. Res. Lett., 46, 7810-7818. doi:10.1029/2019GL082843.[link]

[35] Matsunobu, T. and M. Matsueda, 2019: Assessing the predictability of heavy rainfall events in Japan in early July 2018 on medium-range timescales. SOLA, 15A, 19-24. doi:10.2151/sola.15A-004.[link]

[34] Yamagami, A., M. Matsueda, and H. L. Tanaka, 2019: Skill of Medium-range Reforecast for Summertime Extraordinary Arctic Cyclones in 1986-2016. Polar science, 20, 107-116. doi:10.1016/j.polar.2019.02.003. [link]

[33] Doan, V. Q., H. Kusaka, M. Matsueda, R. Ikeda, 2019:Application of mesoscale ensemble forecast method for prediction of wind speed ramps. Wind Energy, 22, 499-508. doi:10.1002/we.2302. [link]

[32] Vanniere, B., ME. Demory, R., Schiemann, C. D. Roberts, M. Matsueda, L. Terray, T. Koenigk, R. Senan and P. L. Vidale, 2019: Multi-model evaluation of the sensitivity of the global energy budget and hydrological cycle to resolution. Clim. Dyn., 52, 6817-6846. doi:10.1007/s00382-018-4547-y. [link]

2018
[31] Nakanowatari, N., J. Inoue, K. Sato, L. Bertino, J. Xie, M. Matsueda, A. Yamagami, T. Sugimura, H. Yabuki, N. Otsuka, 2018: Medium-range predictability of early summer sea ice thickness distribution in the East Siberian Sea based on the TOPAZ4 ice-ocean data assimilation system. The Cryosphere, 12, 2005-2020. doi: 10.5194/tc-12-2005-2020.[link] [press release(in Japanese)] [JST Science Portal(in Japanese)]

[30] Yamagami, A., M. Matsueda, and H. L. Tanaka, 2018: Medium-range Forecast Skill for Arctic Cyclones in Summer of 2008-2016. Geophys. Res. Lett., 45, 4429-4437. doi:10.1029/2018GL077278. [link]

[29] Matsueda, M. and T. N. Palmer, 2018: Estimates of flow-dependent predictability of wintertime Euro-Atlantic weather regimes in medium-range forecasts. Quart. J. Roy. Meteor. Soc., 144, 1012-1027. doi:10.1002/qj.3265. [link]

[28] Uno, F., H. Ohtake, M. Matsueda, and Y. Yamada, 2018: A diagnostic for advance detection of forecast busts of regional surface solar radiation using multi-center grand ensemble forecasts. Solar Energy, 162, 196-204. doi10.1016/j.solener.2017.12.060. [link] [press release in Japanese]

[27] Yamagami, A., M. Matsueda, and H. L. Tanaka, 2018: Predictability of the 2012 Great Arctic Cyclone on medium-range timescales. Polar Science, 15, 13-23. doi:10.1016/j.polar.2018.01.002. [link]

2017
[26] Yamagami, A., M. Matsueda, and H. L. Tanaka, 2017: Extreme Arctic Cyclone in August 2016. Atmos. Sci. Lett., 18, 307-314. doi:10.1002/asl.757. [link]

[25] Matsueda, M. and H. Endo, 2017: The robustness of future changes in Northern Hemisphere blocking: a large ensemble projection with multiple sea surface temperature patterns. Geophys. Res. Lett., 44, 5158-5166. doi:10.1002/2017GL073336. [link]

[24] Nakazawa, T. and M. Matsueda, 2017: Relationship between Meteorological Variables/Dust and the Number of Meningitis Cases in Burkina Faso. Meteorol. Appl., 24, 423-431. doi:10.1002/met.1640. [link] 

[23] Schiemann, R., M. -E. Demory, L. C. Shaffrey, J. Strachan, P. L. Vidale, M. S. Mizielinski, M. J. Roberts, M. Matsueda, M. F. Wehner, T. Jung, 2017: The resolution sensitivity of Northern Hemisphere Blocking in four 25-km atmospheric global circulation models. J. Climate, 30, 337-358. doi:10.1175/JCLI-D-16-0100.1. [link]

2016
[22] Matsueda, M. and M. Kyouda, 2016: Wintertime East Asian flow patterns and their predictability on medium-range timescales. SOLA, 12, 121-126. doi:10.2151/sola.2016-027. [link]

[21] Matsueda, M., A. Weisheimer, and T. N. Palmer, 2016: Calibrating Climate-Change Time-Slice Projections With Estimates of Seasonal Forecast Reliability. J. Climate, 29, 3831-3840. doi:10.1175/JCLI-D-15-0087.1. [link]

[20] Jung, T. and M. Matsueda, 2016: Verification of global numerical weather forecasting systems in polar regions using TIGGE data. Quart. J. Roy. Meteor. Soc., 142: 574-582. doi:10.1002/qj.2437. [link]

[19] Swinbank, R., M. Kyouda, P Buchanan, L. Froude, T. M. Hamill, T. Hewson, J. H. Keller, M. Matsueda, J. Methven, F. Pappernberger, M. Scheuerer, H. Titley, M. Yamaguchi, and L. Wilson, 2016: The TIGGE Project and its Achievements. Bull. Amer. Meteor. Soc., 97, 49-67. doi:10.1175/BAMS-D-13-00191.1. [link]

2015
[18] Matsueda, M. and T. Nakazawa, 2015: Early warning products for severe weather events derived from operational medium-range ensemble forecasts. Meteorol. Appl., 22, 213-222. doi:10.1002/met.1444. [link]

2013
[17] Nakano, M., M. Matsueda, and M. Sugi, 2013: Future projections of heat waves around Japan simulated by CMIP3 and high-resolution Meteorological Research Institute atmospheric climate models. J. Geophys. Res. Atmos., 118, 3097-3109. doi:10.1002/jgrd.50260. [link]

2012
[16] Mizuta, R., H. Yoshimura, H. Murakami, M. Matsueda, H. Endo, T. Ose, K. Kamiguchi, M. Hosaka, M. Sugi, S. Yukimoto, S. Kusunoki, and A. Kitoh, 2012: Climate simulations using MRI-AGCM3.2 with 20-km grid. J. Meteor. Soc. Japan, 90A, 233-258. doi.org/10.2151/jmsj.2012-A12. [link]

2011
[15] Mizuta, R., M. Matsueda, H. Endo, and S. Yukimoto, 2011: Future change in extratropical cyclones associated with change in the upper troposphere. J. Climate, 24, 6456-6470. doi.org/10.1175/2011JCLI3969.1. [link]

[14] Matsueda, M. and H. Endo, 2011: Verification of medium-range MJO forecasts with TIGGE. Geophys. Res. Lett., 38, L11801, doi:10.1029/2011GL047480. [link]

[13] Matsueda, M., 2011: Predictability of Euro-Russian blocking in summer of 2010. Geophys. Res. Lett., 38, L06801, doi:10.1029/2010GL046557. [link] [GRL Editors' Highlight] [EOS research spotlight]

[12] Matsueda, M. and T. N. Palmer, 2011: Accuracy of Climate Change Predictions using High Resolution Simulations as Surrogates of Truth. Geophys. Res. Lett., 38, L05803, doi:10.1029/2010GL046618. [link]

[11] Kusunoki S., R. Mizuta, and M. Matsueda, 2011: Future changes in the East Asian rain band projected by global atmospheric models with 20-km and 60-km grid size. Clim. Dyn., 37, 2481-2493. doi.org/10.1007/s00382-011-1000-x. [link]

[10] Matsueda, M., M. Kyouda, Z. Toth, H. L. Tanaka, and T. Tsuyuki, 2011: Predictability of an Atmospheric Blocking Event that Occurred on 15 December 2005. Mon. Wea. Rev., 139, 2455-2470. doi.org/10.1175/2010MWR3551.1. [link]

2010
[9] Matsueda, M., H. Endo, and R. Mizuta, 2010: Future change in Southern Hemisphere summertime and wintertime atmospheric blockings simulated using a 20-km-mesh AGCM. Geophys. Res. Lett., 37, L02803, doi:10.1029/2009GL041758. [link]

2009
[8] Matsueda, M., 2009: Blocking Predictability in Operational Medium-Range Ensemble Forecasts. SOLA, 5, 113-116. doi:10.2151/sola.2009-029. [link]

[7] Matsueda, M., R. Mizuta, and S. Kusunoki, 2009: Future change in wintertime atmospheric blocking simulated using a 20-km-mesh atmospheric global circulation model. J. Geophys. Res., 114, D12114, doi:10.1029/2009JD011919. [link]

2008
[6] Matsueda, M. and H.L. Tanaka, 2008: Can MCGE Outperform the ECMWF Ensemble? SOLA, 4, 77-80. doi:10.2151/sola.2008-020. [link]

2007
[5] Matsueda, M., M. Kyouda, H.L. Tanaka and T. Tsuyuki, 2007: Daily Forecast Skill of Multi-Center Grand Ensemble. SOLA, 3, 29-32. doi:10.2151/sola.2007-008. [link]

2006
[4] Matsueda, M., M. Kyouda, H.L. Tanaka and T. Tsuyuki, 2006: Multi-Center Grand Ensemble using Three Operational Ensemble Forecasts. SOLA, 2, 33-36. doi:10.2151/sola.2006-009. [link]

2005
[3] Tanaka, H.L. and M. Matsueda, 2005: Arctic Oscillation analyzed as a singular eigenmode of the global atmosphere. J. Meteor. Soc. Japan, 83, 611-619. doi.org/10.2151/jmsj.83.611. [link]

[2] Matsueda, M. and H.L. Tanaka, 2005: EOF and SVD analyses of the low-frequency variability of the barotropic component of the atmosphere. J. Meteor. Soc. Japan, 83, 517-529. doi.org/10.2151/jmsj.83.517. [link]

2004
[1] Tanaka, H.L. and M. Matsueda, 2004: Analysis of recent extreme events measured by the barotropic component of the atmosphere. J. Meteor. Soc. Japan, 82, 1281-1299. doi.org/10.2151/jmsj.2004.1281. [link]


Non peer reviewed documents

2016
Matsueda, M., 2016: The S2S Museum. S2S News Letter No.4 (October 2016). [pdf]

2013
Matsueda, M. and T. Nakazawa, 2013: New Web-based Forecasting Prototype Tool. WMO Newsletter: MeteoWorld (January 2013). [html]