Books

筆保 弘徳、芳村 圭編, 2013: 天気と気象についてわかっていることいないこと. ベレ出版, 277 pp, ISBN: 978-4-8606-4351-5. (第1章を分担執筆)

在田 一則、竹下 徹、見延 庄士郎、渡部 重人編, 2015: 地球惑星科学入門 第2版. 北海道大学出版会, 478 pp, ISBN: 978-4-8329-8219-2. (第19章、第20章を分担執筆)

河村 公隆、大島 慶一郎、小達 恒夫、川村 賢二、佐﨑 元、杉山 慎、関 宰、高橋 晃周、西岡 純、原 登志彦、福井 学、藤吉 康志、三寺 史夫、宮﨑 雄三、本山 秀明、渡部 直樹編, 2016: 低温環境の科学事典. 朝倉書店, 432 pp, ISBN: 978-4-254-16128-1. (第10-3節を分担執筆)

稲津 將, 2016: 「解ける！使える！微分方程式」, 北海道大学出版会. 232 pp, ISBN-13: 978-4832982260. 第２刷が出版されました

広田　知良, 中辻　敏朗, 小南　靖弘監修, 2021: 北海道の最新農業気象(2021年ニューカントリー秋季増刊号), 北海道協同組合通信社, 228pp. （第７章１を分担執筆）

高薮　出，稲津 將, 野沢　徹，2021: 特別解説・2021年ノーベル賞を読み解く　物理学賞Part I 気候の物理的なモデル化と変動の定量化から地球温暖化を確実に予測, 月刊「化学」, Vol. 76, No. 12, 20–23, ISBN-XX: XXXX.

稲津 將, 2022: 気象ブックス０４７　気象学の教科書, 成山堂書店, 224pp, ISBN: 978-4-425-55461-4.

Under review

2025

[83] Yamamoto, R., and M. Inatsu, 2025: Risk assessment of apple scab occurrence to global warming. Journal of Agricultural Meteorology, 81, 106–111.

[82] Ono, K. and M. Inatsu, 2025: Multiscale nonlinearity of error growth in high-resolution forecasts for mesoscale convective systems. Journal of the Meteorological Society of Japan, 103, 127–146.

[81] Sato, K., and M. Inatsu, 2025: Response of Snow Cloud Bands to Sea Surface Temperatures over the Sea of Japan. Scientific Online Letters on the Atmosphere, 21, 69–75.

2024

[80] Kondo, M. Y. Sato, Y. Katsuyama, and M. Inatsu, 2024: Development of A new estimation an evaluation method for a mixture ratio of precipitation particle types from disdrometer data with self-organizing maps. Journal of Atmosphere and Ocean Technology, 41, 1229–1246.

[79] Sato, Y., M. Kamada, M. Inatsu, and A. Hashimoto, 2024: Future change in the contribution of the riming and the depositional growth to the surface solid precipitation in Hokkaido, Japan. Journal of Applied Meteorology and Climatology, 63, 1097–1112.

[78] Matsuoka, R. N., and M. Inatsu, 2024: Weather classifications for high temperatures in Japanese cities. Scientific Online Letters on the Atmosphere, 20, 298–305.

[77] Hirata, K., Y. Sato, M. Sekiguchi, and M. Inatsu, 2024: Impact of model grid spacing on the feedback between shortwave three-dimensional radiative transfer and an isolated nonprecipitating cumulus. Scientific Online Letters on the Atmosphere, 20, 273–280.

[76] Sugawara, K., M. Inatsu, and Y. Harada, 2024: Climate change assessment on blowing snow in Hokkaido using a large ensemble dataset. Scientific Online Letters on the Atmosphere, 20, 217–222.

[75] Oishi, K., M. Inatsu, and S. Kawazoe, 2024: Preferable weather patterns to brown planthopper advection to Kyushu and its effect of climate change. Journal of Agricultural Meteorology, 80, 2–11.

2023

[74] Taniguchi, Y. Y. Katsuyama, M. Inatsu, and T. Yamada, 2023: Snow melting estimate in the Jozankei Dam basin based on snowpack simulation. Scientific Online Letters on the Atmosphere, 19, 274–281.

[73] Asano, Y., H. Kusaka, M. Inatsu, 2023: Future projections of wet snow accretion and snowfall in Kanto Plain, Japan using a large ensemble climate simulation. Meteorological Application, e2162.

[72] Tanji, S., M. Inatsu, and Y. Harada, 2023: Comparison of the LBM snowdrift model output with observation results. Progress in Earth and Planetary Science, 8, 57.

[71] Kawazoe, S., M. Fujita, S. Sugimoto, Y. Okada, S. Watanabe, and M. Inatsu, 2023: Evaluation of tornadic environments and their trends and projected changes in Japan. Nature Atmosphere and Ocean Physics, 6, 199.

[70] Shinohara, M., and M. Inatsu, 2023: Stochastic precipitation model using large ensemble data. Journal of Disaster Research, 18, 868–876.

[69] Inatsu, M., M. Matsueda, N. Nakano, and S. Kawazoe, 2023: Prediction skill and practical predictability depending on the initial atmospheric states in S2S forecasts. Journal of Atmospheric Sciences, 80, 1449–1462.

[68] Hirata, K., M. Sekiguchi, Y. Sato, and M. Inatsu, 2023: Biases in shortwave three-dimensional radiative transfer calculations for high-resolution numerical models. Scientific Online Letters on the Atmosphere, 19, 50–56.

[67] Kawazoe, S., M. Inatsu, T. J. Yamada, and T. Hoshino, 2023: Future projection of widespread, extreme precipitation in Hokkaido, Japan associated with tropical and extratropical cyclones using large-ensemble climate simulations. Journal of Applied Meteorology and Climatology, 62, 341–359.

2022

[66] Kanamori, Y., M. Inatsu, R. Tsurumaki, N. Matsuoka, T. Hoshino, and T. J. Yamada, 2022: Global warming effect and adaptation for a flooding event at Motsukisamu River in Sapporo. Scientific Online Letters on the Atmosphere, 40, 249–253.

[65] Murakami, K., S. Inoue, M. Nemoto, Y. Kominami, M. Inatsu, and T. Hirota, 2022: Projected changes in field workability of agricultural machinery operations for upland crop production with +4 K warming in Hokkaido, Japan. Journal of Agricultural Meteorology, 78, 155–163.

[64] Kawazoe, S., and M. Inatsu, 2022: Predictability of heavy snowfall events in western Hokkaido from JMA Operational 1-Month Ensemble Predictions using self-organizing maps. Scientific Online Letters on the Atmosphere, 18, 147–153.

[63] 村上 貴一, 根本 学, 稲津 將, 菅原 邦泰, 広田 知良, 2022: 現在および将来気候のもとでの確率的な農業影響評価のための1 km アンサンブル日平均気温・日降水量データセット. 生物と気象, 22, 33–38.

[62] 相河 卓哉, 稲津 將, 2022: アンサンブルスプレッドを活かしたガイダンスの精度向上. 北海道大学地球物理学研究報告, 85, 1–19.(査読なし)

2021

[61] Takabatake, D., and M. Inatsu, 2021: Summertime precipitation in Hokkaido and Kyushu, Japan in response to global warming. Climate Dynamics, 58, 1671–1682.

[60] Uda, T., T. Sakajo, M. Inatsu, and K. Koga, 2021: Identification of atmospheric blocking with morphological type by topological flow data analysis. Journal of the Meteorological Society of Japan, 99, 1169–1183.

[59] Inatsu, M., S. Kawazoe, and M. Mori, 2021: Trends and projection of heavy snowfall in Hokkaido, Japan as an application of self-organizing map. Journal of Applied Meteorology and Climatology, 60, 1483–1494.

[58] Tanji, S., M. Inatsu, and T. Okaze, 2021: Development of snowdrift model with the Lattice Boltzmann Method. Progress in Earth and Planetary Science, 8, 57.

[57] 丹治 星河, 稲津 將, 川添 祥, 佐藤 陽祐, 2021: 2017/2018年冬季における北海道の吹雪発生マップの作成. 雪氷, 83, 275-284.

[56] Kondo, M., Y. Sato, M. Inatsu, and Y. Katsuyama, 2021: Evaluation of cloud microphysical schemes for winter snowfall events in Hokkaido: A case study of snowfall by winter monsoon. Scientific Online Letters on the Atmosphere, 17，74–80.

[55] Katsuyama, Y., and M. Inatsu, 2021: Advantage of volume scanning video disdrometer in solid-precipitation observation. Scientific Online Letters on the Atmosphere, 17，35–40.

[54] Sugawara, K., M. Inatsu, S. Shimoda, K, Murakami, and T. Hirota, 2021: Risk assessment and possible adaptation of potato production in Hokkaido to climate change using a large number ensemble climate dataset d4PDF. Scientific Online Letters on the Atmosphere, 17，24–29.

[53] Inatsu, M., R. Yoshida, S. Karino, S. Takeuchi, and S. Kobayashi, 2021: A high-resolution prediction system for birch pollen in Sapporo. Agricultural and Forest Meteorology, 29, 108229.

2020

[52] Kawazoe, S., M. Inatsu, T. J. Yamada, and T. Hoshino, 2020: Climate change impacts on heavy snowfall in Sapporo with 5-km mesh large ensemble simulations, Scientific Online Letters on the Atmosphere, 16, 233–239.

[51] Inatsu, M., S. Tanji, and Y. Sato, 2020: Toward predicting expressway closures due to blowing snow events. Cold Region Science and Technology, 177, 103–123.

[50] Katsuyama, Y., and M. Inatsu, 2020: Fitting precipitation particle size-velocity data to mixed joint probability density function with the expectation maximization algorithm. Journal of Atmosphere and Ocean Technology, 37, 911–925.

[49] Katsuyama, Y., M. Inatsu, and T. Shirakawa, 2020: Response of snowpack to +2°C global warming in Hokkaido, Japan. Journal of Glaciology, 66, 83–96.

2019

[48] Tamaki, Y., M. Inatsu, and T. J. Yamada, 2019: Possible hydrological effect of rainfall duration bias in dynamical downscaling. Hydrological Research Letters, 13, 55–61.

[47] Inatsu, M., T. Suematsu, Y. Tamaki, N. Nakano, K. Mizushima, and M. Shinohara, 2019: Development of pressure-precipitation transmitter. Journal of Applied Meteorology and Climatology, 58, 2453–2468.

[46] Aikawa, T., M. Inatsu, N. Nakano, and T. Iwano, 2019: Mode-decomposed equation diagnosis for atmospheric blocking development. Journal of the Atmospheric Sciences, 76, 3151–3167.

[45] Morita, H., M. Inatsu, and H. Kokubu, 2019: Topological computation analysis of meteorological time-series data. Journal of Society for Industrial and Applied Mathematics, 18, 1200–1212.

[44] 稲津 將, 越石 健太, 梶野 瑞王, 2019: 新燃岳の噴火における火山灰の拡散沈着シミュレーション. 北海道大学地球物理学報告, 82, 1–9. (査読なし)

[43] Tanji, S., and M. Inatsu, 2019: Case study of drifting snow potential diagnosis with dynamical downscaling. Scientific Online Letters on the Atmosphere, 15, 32–36.

[42] Inatsu, M., H. Suzuki, and M. Kajino, 2019: Relative risk assessment for hypothetical radioactivity emission at a snow climate site. Journal of the Meteorological Society of Japan, 97, 175–190.

2018

[41] Tamaki, Y., M. Inatsu, N.-L. Dzung, and T. J. Yamada, 2018: Heavy-rainfall duration bias in dynamical downscaling and its related synoptic patterns in summertime Asian monsoon. Journal of Applied Meteorology and Climatology, 57, 1477–1496.

[40] Nakano, N., M. Inatsu, S. Kusuoka, and Y. Saiki, 2018: Empirical evaluated SDE modelling for dimensionality-reduced systems and its predictability estimates. Japan Journal of Industrial and Applied Mathematics, 1–37.

2017

[39] Inatsu, M., H. Kato, Y. Katsuyama, Y. Hiraoka, and I. Obayashi, 2017: A cyclone identification algorithm with persistent homology and merge-tree. Scientific Online Letters on the Atmosphere, 13, 214–218.

[38] Ichikawa, Y., and M. Inatsu, 2017: An alternative estimate of potential predictability on the Madden-Julian Oscillation phase space using S2S models. Atmosphere, 8, 150.

[37] Katsuyama, Y., M. Inatsu, K. Nakamura, and S. Matoba, 2017: Global warming response of snowpack at a site in northern Japan estimated using multiple dynamically downscaled data. Cold Region Science and Technology, 136, 62–71.

2016

[36] Kajino, M., M. Ishizuka, Y. Igarashi, K. Kita, C. Yoshikawa, and M. Inatsu, 2016: Long-term assessment of airborne radiocesium after the Fukushima nuclear accident: Re-suspension from bare soil and forest ecosystems. Atmospheric Chemistry and Physics-Discussion, 16, 13,149–13,172.

[35] 稲津　將，濱田　篤，2016： 気象学の色遣い～均等色空間を利用したカラーリング～. 天気，63，803–809.

[34] Ichikawa, Y., and M. Inatsu, 2016: Methods to evaluate prediction skill in the Madden-Julian Oscillation phase space. Journal of the Meteorological Society of Japan, 94, 257–267.

[33] Inatsu, M., J. Tominaga, Y. Katsuyama, and T. Hirota, 2016: Soil-frost depth change in eastern Hokkaido under +2 K-world climate scenarios. Scientific Online Letters on the Atmosphere, 12, 153–158.

[32] Katsube, K., and M. Inatsu, 2016: Response of tropical cyclone tracks to sea surface temperature in the western North Pacific. Journal of Climate, 29, 1955–1975.

[31] Tamaki, Y., M. Inatsu, R. Kuno, and N. Nakano, 2016: Sampling downscaling in summertime precipitation over Hokkaido. Journal of the Meteorological Society of Japan, 94A, 17–26.

2015

[30] Inatsu, M., T. Sato, T. J. Yamada, R. Kuno, S. Sugimoto, M. A. Farukh, Y. N. Pokhrel, and S. Kure, 2015: Multi-GCM by multi-RAM experiments for dynamical downscaling on summertime climate change in Hokkaido. Atmospheric Sciences Letters, 16, 297–304.

[29] Inatsu, M., N. Nakano, S. Kusuoka, and H. Mukougawa, 2015: Predictability of wintertime stratospheric circulation examined by non-stationary fluctuation dissipation relation. Journal of the Atmospheric Sciences, 72, 774–786.

[28] Takatama, K., S. Minobe, M. Inatsu, and R. J. Small, 2015: Diagnostics for near-surface wind response to the Gulf Stream in a regional atmospheric model. Journal of Climate, 28, 238–255.

2014

[27] Yamada, T. J., M. A. Farukh, T. Fukushima, M. Inatsu, T. Sato, Y. N. Pokhrel and T. Oki, 2014: Extreme precipitation intensity in future climates associated with the Clausius-Clapeyron-like relationship. Hydrological Research Letters, 8, 108–113.

[26] Inatsu, M., S. Kobayashi, S. Takeuchi, and A. Ohmori, 2014: Statistical analysis on daily variations of birch pollen amount with climatic variables in Sapporo. Scientific Online Letters on the Atmosphere, 10, 172–175.

[25] Inatsu, M., T. Nakayama, Y. Maeda, and H. Matsuda, 2014: Dynamical downscaling for assessment of climate in Ghana. Journal of Disaster Research, 9, 412–421.

[24] Kuno, R., and M. Inatsu, 2014: Development of sampling downscaling: A case for wintertime precipitation in Hokkaido. Climate Dynamics, 43, 375–387.

[23] Yang, P., W. Wu, Z. Li, Z. Liu, M. Inatsu, Z. Liu, P. Tang,Y. Zha, M. Kimoto, and H. Tang, 2014: Simulated impact of elevated CO2, temperature, and precipitation on the winter wheat yield in the North China Plain. Regional Environmental Change, 14, 61–74.

2013

[22] Inatsu, M., and S. Amada, 2013: Dynamics and geometry of extratropical cyclones in the upper troposphere by using a neighbor enclosed area tracking algorithm. Journal of Climate, 26, 8641–8653.

[21] Satake, Y., M. Inatsu, M. Mori, and A. Hasegawa, 2013: Tropical cyclone tracking using a neighbor enclosed area tracking algorithm. Monthly Weather Review, 141, 3539–3555.

[20] Neu, U., M. G. Akperov, N. Bellenbaum, R. Benestad, R. Blender, R. Caballero, A. Cocozza, H. F. Dacre, Y. Feng, K. Fraedrich, J. Grieger, S. Gulev, J. Hanley, T. Hewson, M. Inatsu, K. Keay, S. F. Kew, I. Kindem, G. C. Leckebusch, M. L. R. Liberato, P. Lionello, I. I. Mokhov, J. G. Pinto, C. C. Raible, M. Reale, I. Rudeva, M. Schuster, I. Simmonds, M. Sinclair, M. Sprenger, N. D. Tilinina, I. F. Trigo, S. Ulbrich, U. Ulbrich, X. L. Wang, and H. Wernli, 2013: IMILAST – a community effort to intercompare extratropical cyclone detection and tracking algorithms. Bulletin of the American Meteorological Society, 94, 529–547.

[19] Inatsu, M., N. Nakano, and H. Mukougawa, 2013: Dynamics and practical predictability of extratropical wintertime low-frequency variability in a low-dimensional system. Journal of the Atmospheric Sciences, 70, 939–952.

[18] Ulbrich, U., G. C. Leckebusch, J. Grieger, M. Schuster, M. Akperov, M. Y. Bardin, Y. Feng, S. Gulev, M. Inatsu, K. Keay, S. F. Kew, M. L. R. Liberato, P. Lionello, I. I. Mokhov, U. Neu, J. G. Pinto, C. C. Raible, M. Reale, I. Rudeva, I. Simmonds, N. D. Tilinina, I. F. Trigo, S. Ulbrich, X. L. Wang, H. Wernli and the IMILAST team, 2013: Are greenhouse gas signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking methodology? Meteorologische Zeitschrift, 22, 61–68.

2012

[17] Iwao, K., M. Inatsu, and M. Kimoto, 2012: Recent changes in explosively developing extratropical cyclones over the winter Northwestern Pacific. Journal of Climate, 25, 7282–7296.

[16] Sasaki, Y. N., S. Minobe, T. Asai, and M. Inatsu, 2012: Influence of the Kuroshio in the East China Sea on the early summer (Baiu) rain. Journal of Climate, 25, 6627–6645.

[15] Inatsu, M., and K. Terakura, 2012: Wintertime extratropical cyclone frequency around Japan. Climate Dynamics, 38, 2307–2317.

[14] Inatsu, M., Y. Satake, M. Kimoto, and N. Yasutomi, 2012: GCM bias of the Western Pacific summer monsoon and its correction by two-way nesting system. Journal of the Meteorological Society of Japan,　90B, 1–10.

[13] Takatama, K., S. Minobe, M. Inatsu, and J. R. Small, 2012: Diagnostics for near-surface wind convergence/divergence response to the Gulf Stream in a regional atmospheric model. Atmospheric Science Letters, 13, 16–21.

before 2011

[12] Inatsu, M., 2009: The neighbor enclosed area tracking algorithm for extratropical wintertime cyclones. Atmospheric Science Letters, 10, 267–272.

[11] Inatsu, M., and M. Kimoto, 2009: A scale interaction study on East Asian cyclogenesis using a general circulation model with an interactively nested regional model. Monthly Weather Review, 137, 2851–2868.

[10] Inatsu, M., M. Kimoto, and A. Sumi, 2007: Stratospheric sudden warming with projected global warming and related tropospheric wave activity. Scientific Online Letters on the Atmosphere, 3, 105–108.

[09] Inatsu, M., and B. J. Hoskins, 2006: The seasonal and wintertime interannual variability of the split jet and the storm-track minimum near New Zealand. Journal of the Meteorological Society of Japan, 84, 433–445.

[08] 稲津　將，2006： 南半球冬季ストームトラックの東西非対称性の形成について～2005年度山本・正野論文賞記念講演～． 天気，53、537–549.

[07] Inatsu, M., and M. Kimoto, 2005b: Difference of boreal summer climate between coupled and atmosphere-only GCMs. Scientific Online Letters on the Atmosphere, 1, 105–108.

[06] Inatsu, M., and M. Kimoto, 2005a: Two types of interannual variability of the mid-winter storm-tracks and their relationship to global warming. Scientific Online Letters on the Atmosphere, 1, 61–64.

[05] Inatsu, M., and B. J. Hoskins, 2004: The zonal asymmetry of the Southern Hemisphere winter storm-track. Journal of Climate, 17, 4882–4892.

[04] Inatsu, M., H. Mukougawa, and S.-P. Xie, 2003: Atmospheric response to zonal variations in mid-latitude SST: Transient and stationary eddies and their feedback. Journal of Climate, 16, 3314–3329.

[03] Inatsu, M., H. Mukougawa, and S.-P. Xie, 2002b: Tropical and extratropical SST effects on the midlatitude storm track. Journal of the Meteorological Society of Japan, 80, 1069–1076.

[02] Inatsu, M., H. Mukougawa, and S.-P. Xie, 2002a: Stationary eddy response to surface boundary forcing: Idealized GCM experiments. Journal of the Atmospheric Sciences, 59, 1898–1915.

[01] Inatsu, M., H. Mukougawa, and S.-P. Xie, 2000: Formation of subtropical westerly jet core in an idealized GCM without mountains. Geophysical Research Letters, 27, 529–532.