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Published Papers 【 display / non-display 】

• Flowering-date forecast of cherry blossom in Tokyo using seasonal ensemble forecasts

  YAMAKI Toshinori, ASAGA Yuzuki, MATSUEDA Mio

  Climate in Biosphere ( The Society of Agricultural Meteorology of Japan )  24 ( 0 ) 36 - 42   2024.07 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

  　View Summary

  <p> This study assessed the flowering-date forecast skill of cherry blossom in Tokyo from 2018 to 2023 using seasonal ensemble forecasts from three numerical weather prediction centers: the Deutscher Wetterdienst, the European Centre for Medium-Range Weather Forecasts, and the Météo-France. First, the optimal seven parameters used in the flowering-date estimation model, developed by Maruoka and Itoh (2009), were determined for Tokyo, based on the period from 1994 to 2017, during which the estimation bias was ±1.91 days. Then, flowering dates were predicted using bias-corrected seasonal ensemble forecast of 2 m temperature as a model input. The root-mean-square errors for the flowering-date forecasts initialized on 1st January, February, and March, averaged over all ensemble members, were about ±8.0 days, ±6.2 days, and ±2.3 days, respectively. The best- or worst-performing center is dependent on the specific cases. The grand ensemble forecast, comprising all forecasts from all single-center ensembles, showed better performance in predicting flowering dates of cherry blossoms than the single-center ensemble forecasts alone. These results suggest that the grand ensemble approach at seasonal timescales holds potential for predicting of the growth of flowers and fruits.</p>

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• Prediction skill and practical predictability depending on the initial atmospheric states in S2S forecasts

  Matsueda, Mio

  Journal of the Atmospheric Sciences ( American Meteorological Society )    2023.04 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

  　View Summary

  Abstract The hypothesis that predictability depends on the atmospheric state in the planetary-scale low-frequency variability in boreal winter was examined. We first computed six typical weather patterns from 500-hPa geopotential height anomalies in the Northern Hemisphere using self-organising map (SOM) and k-clustering analysis. Next, using 11 models from the subseasonal-to-seasonal (S2S) operational and reforecast archive, we computed each model’s climatology as a function of lead time to evaluate model bias. Although the forecast bias depends on the model, it is consistently the largest when the forecast begins from the atmospheric state with a blocking-like pattern in the eastern North Pacific. Moreover, the ensemble-forecast spread based on S2S multi-model forecast data was compared with empirically estimated Fokker-Planck equation (FPE) parameters based on reanalysis data. The multi-model mean ensemble-forecast spread was correlated with the diffusion tensor norm; they are large for the cases when the atmospheric state started from a cluster with a blocking-like pattern. As the multi-model mean is expected to substantially reduce model biases and may approximate the predictability inherent in nature, we can summarise that the atmospheric state corresponding to the cluster was less predictable than others.

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• 世界の現業モデルによる平成30年7月豪雨の中期予測可能性

  松枝, 未遠, 松信匠

  気象研究ノート   ( 246 ) 107 - 116   2022.10

  Type of publication: Research paper (scientific journal)

• Skill of Medium-Range Forecast Models Using the Same Initial Conditions

  Magnusson, L, Ackerley, D, Bouteloup, Y, Chen, J.-H, Doyle, J, Earnshaw, P, Kwon, Y. C, Köhler, M, Lang, S. T. K, Lim, Y.-J, Matsueda, Mio, Matsunobu, T, McTaggart-Cowan, R, Reinecke, A, Yamaguchi, M, Zhou, L

  BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY ( AMER METEOROLOGICAL SOC )  103 ( 9 ) E2050 - E2068   2022.09 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

  　View Summary

  In the Different Models, Same Initial Conditions (DIMOSIC) project, forecasts from different global medium-range forecast models have been created based on the same initial conditions. The dataset consists of 10-day deterministic forecasts from seven models and includes 122 forecast dates spanning one calendar year. All forecasts are initialized from the same ECMWF operational analyses to minimize the differences due to initialization. The models are run at or near their respective operational resolutions to explore similarities and differences between operational global forecast models. The main aims of this study are 1) to evaluate the forecast skill and how it depends on model formulation, 2) to assess systematic differences and errors at short lead times, 3) to compare multimodel ensemble spread to model uncertainty schemes, and 4) to identify models that generate similar solutions. Our results show that all models in this study are capable of producing high-quality forecasts given a high-quality analysis. But at the same time, we find a large variety in model biases, both in terms of temperature errors and precipitation. We are able to identify models whose forecasts are more similar to each other than they are to those of other systems, due to the use of similar model physics packages. However, in terms of multimodel ensemble spread, our results also demonstrate that forecast sensitivities to different model formulations still are substantial. We therefore believe that the diversity in model design that stems from parallel development efforts at global modeling centers around the world remains valuable for future progress in the numerical weather prediction community.

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• Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system

  Nakanowatari, T, Xie, J, Bertino, L, Matsueda, Mio, Yamagami, A, Inoue, J

  Environmental Research ( Elsevier BV )  209   112769 - 112769   2022.01 [ Peer Review Accepted ]

  Type of publication: Research paper (scientific journal)

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Other Papers 【 display / non-display 】

Other Papers 【 display / non-display 】

• 冬季における関東域の日射量予測大外し時の大気場の特徴

  宇野史睦, 大竹秀明, 大関崇, 松枝未遠, 山田芳則

  日本気象学会大会講演予稿集   ( 114 ) 94   2018.09

   

  J-GLOBAL

• Sub-seasonal to Seasonal Prediction Project

  高谷 祐平, 中澤 哲夫, 松枝 未遠

  天気 ( 日本気象学会 )  64 ( 6 ) 457 - 462   2017.06

   

  J-GLOBAL

• 2013年台風第3号Yagiの予報実験

  榎本剛, 榎本剛, 吉田聡, 山崎哲, 中野満寿男, 山根省三, 山口宗彦, 松枝未遠, 松枝未遠

  日本気象学会大会講演予稿集   ( 110 ) 281   2016.09

   

  J-GLOBAL

• C107 現業数値予報モデルを用いた予測可能性研究

  榎本剛, 宮地哲朗, 山口宗彦, 松枝未遠, 吉田聡, 山崎哲, 中野満寿男, 山根省三

  日本気象学会2015年度春季大会専門分科会「気象庁データを利用した気象研究の現状と展望」     2015.05

   

• B401 Predictability of wintertime Euro-Atlantic weather regimes in medium-range forecasts :

  松枝 未遠, Palmer T. N.

  大会講演予講集 ( 日本気象学会 )  105   334 - 334   2014

   

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Presentations 【 display / non-display 】

Presentations 【 display / non-display 】

• Visual Cloud-Type Observations and Radiosonde Soundings During the Okinawa Baiu Season

  Watanabe, A., Matsueda M., Yamada H.,

  SEE Symposium 2025 International Symposium on Heavy Rainfall and Tropical Cyclone in East Asia,  (Nagoya)  2025.12  -  2025.12 

• Impacts of typhoons in the western North Pacific on midlatitude circulation fields and aerosol fields

  Machida T., Kajino M., Oku Y., Yoshino J., Miyamoto Y., Matsueda M.

  32nd International Conference on Aerosol Science and Technology (ICAST 2025)  (Taiwan)  2025.09  -  2025.09 

• Predictability of Typhoon KHANUN (2023)

  Nakaoji, S. and Matsueda M.

  JpGU Meeting 2025  (Makuhari)  2025.05  -  2025.05 

• 2018年台風24号(TRAMI)の進路の予測可能性

  仲尾次晴空, 松枝, 未遠

  日本地球惑星科学連合2023年大会  2023.05  -  2023.05 

• Forecast skill of the large MJO case in March 2015

  中澤哲夫, 松枝, 未遠

  日本気象学会2023年度春季大会  2023.05  -  2023.05 

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Work 【 display / non-display 】

Work 【 display / non-display 】

• The Coperinicus Museum

  Mio, Matsueda 

  2021.06

  　

  　

   

• The S2S Museum

  Mio Matsueda 

  1900.01

  　

  　

   

• The TIGGE Museum

  Mio Matsueda 

  1900.01

  　

  　

   

Academic Awards 【 display / non-display 】

Academic Awards 【 display / non-display 】

• Syono award

  2016.10   Meteorological Society of Japan  

• Certificate of Appreciation

  2014.11   World Meteorological Organization   Contribution to the THORPEX project

  Winner: Mio Matsueda

Grant-in-Aid for Scientific Research 【 display / non-display 】

Grant-in-Aid for Scientific Research 【 display / non-display 】

• Weather regimes in Europe and Asia: Subseasonal Predictability (WEASP)

  University of Tsukuba–DAAD Partnership Program

  Project Year: 2019.04  -  2021.03 

  Investigator(s): Christian Grams 

  Direct: 2,206,000 (YEN)  Overheads: 0 (YEN)  Total: 2,206,000 (YEN)

• New theory of Geostrophic turbulence by Rossby wave breaking and saturation

  Grant-in-Aid for Scientific Research(C)

  Project Year: 2017.04  -  2020.03 

  Investigator(s): Tanaka Hiroshi 

  Direct: 3,400,000 (YEN)  Overheads: 4,420,000 (YEN)  Total: 1,020,000 (YEN)

  　View Summary

  Global scale atmospheric energy spectrum is known to obey the -3 power law of the wavenumber. The energy spectrum has been explained by the inertial subrange theory of 2 dimensional geostrophic trubulence. However, our normal mode energetics analysis shows that the spectrum is created by Rossby wave breaking and saturation rather than the inertial subrange theory. According to this new theory, the energy spectrum obeys E=mc2 relation. Here, E is energy, c is phase speed of Rossby wave, and m is mass of the atmosphere in unit area. In this study we propose Rossby wave breaking and saturation theory, as a new theory to explain the global scale energy spectrum of the atmosphere.

• Predictability of weather regime-related atmospheric phenomena

  Grant-in-Aid for Young Scientists(B)

  Project Year: 2016.04  -  2019.03 

  Investigator(s): MATSUEDA MIO 

  Direct: 2,700,000 (YEN)  Overheads: 3,510,000 (YEN)  Total: 810,000 (YEN)

  　View Summary

  In the study, there are three focused topics: 1. predictability of winter Euro-Atlantic (EA) regimes, 2. predictability of regime-related heatwave in EA summer, and 3. predictability of severe weather events occurred during the research period (e.g. the 2018 Western Japan Heavy Rainfall). Regarding the winter regimes, the most interesting result is that the longer the NAO- events persist, the higher the skill of forecasts initialised on NAO-. The skill dependency on regime duration is less clearly observed for the other regimes. Regarding the regime-related heatwave, 6 of 8 detected EA summer regimes are related to well-known heatwaves. The UK-France heatwave regime was least predictable. Regarding the predictability of the 2018 western Japan heavy rainfall which was highly predicted by NCEP operational forecast, joint analysis using operational forecasts and ensemble simulation with NCEP initial conditions and an ECMWF model revealed why ECMWF had lower skill for the event.

• Arctic Challenge for Sustainability Project (ArCS)

  Project Year: 2015.09  -  2020.03 

  Direct: 23,290,000 (YEN)  Overheads: 0 (YEN)  Total: 23,290,000 (YEN)

• On predictability of weather regimes and prediction of their forecast skills

  Grant-in-Aid for Research Activity start-up

  Project Year: 2014.09  -  2016.03 

  Investigator(s): MATSUEDA MIO 

  Direct: 1,700,000 (YEN)  Overheads: 2,210,000 (YEN)  Total: 510,000 (YEN)

  　View Summary

  This study have assessed predictability of weather regime (persistent and/or recurring large-scale atmospheric flow pattern) on medium-range timescale and have tried to find some clues to know forecast skills of regimes in advance. My findings are that (1) predictability of regimes strongly depends on regions, (2) there are some preferred circuits of regimes in some regions, and (3) the Madden-Julian Oscillation can be a metric to know forecast skills of regimes in advance.

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Social Activity 【 display / non-display 】

• 2024.11

  　

  　

  

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Media Coverage 【 display / non-display 】

• 台風を知り防災学ぼう  Newspaper, magazine

  琉球新報  24面  2024.11

  Author： Other 

  　View Summary

  2024年11月7日に多良間小学校で行った「お天気教室」の様子が写真とともに紹介された。