Achievements
Peer-Reviewed Articles
[41] Miwa, N. and Y. Sawada (2024), Strongly vs. weakly coupled data assimilation in coupled systems with various inter-compartment interactions, Journal of Advances in Modeling Earth Systems, 16, e2022MS003113 [link]
[40] Sawada, Y. and L. Duc (2024), An efficient and robust estimation of spatio-temporally distributed parameters in dynamic models by an ensemble Kalman filter, Journal of Advances in Modeling Earth Systems,16, e2023MS003821 [link]
[39] Duc, L and Y. Sawada (2024), Geometry of rainfall ensemble means: from arithmetic averages to Gaussian-Hellinger barycenters in unbalanced optimal transport, Journal of Meteorological Society of Japan, 102, 35-47 [link]
[38] Islam, R., L. Duc, and Y. Sawada (2023), Assessing Storm Surge Multi-Scenarios based on Ensemble Tropical Cyclone Forecasting, Journal of Geophysical Research Atmospheres, 128, e2023JD038903 [link]
[37] Neupane, A. and Y. Sawada (2023), Performance assessment of irrigation projects in Nepal by integrating Landsat images and local data, Remote Sensing, 15, 4633 [link]
[36] Islam, R, L. Duc, Y. Sawada, and M. Satoh (2023), Does mean sea level trend mask historical storm surge trend: Evidence from tropical cyclones affecting Japan since 1980, Environmental Research Letters, 18, 085004 [link]
[35] Duc, L. and Y. Sawada (2023), A signal-processing-based interpretation of the Nash–Sutcliffe efficiency, Hydrology and Earth System Sciences, 27, 1827–1839 [link]
[34] Li, S., and Y. Sawada (2022), Soil moisture-vegetation interaction from near-global in-situ soil moisture measurements, Environmental Research Letters, 17, 114028 [link]
[33] Sawada, Y., S. Okugawa and T. Kimizuka (2022), Multi-model ensemble benchmark data for hydrological modeling in Japanese river basins, Hydrological Research Letters, 16, 73-79 [link]
[32] Kageyama, Y. and Y. Sawada (2022), Global assessment of sub-national drought impact based on the Geocoded Disasters dataset and land reanalysis, Hydrology and Earth System Sciences, 26, 4707-4720 [link]
[31] Kimizuka, T. and Y. Sawada (2022), How robust is a multi-model ensemble mean of conceptual hydrological models to climate change?, Water, 14, 2852 [link]
[30] Sawada, Y., R. Kanai, and H. Kotani (2022), Impact of cry wolf effects on social preparedness and the efficiency of flood early warning systems, Hydrology and Earth System Sciences, 26, 4265-4278 [link]
[29] Sawada, Y. (2022), An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation, Journal of Advances in Modeling Earth Systems, 14, e2021MS002882. [link]
[28] Tsutsui, H., Y. Sawada, K. Onuma, H. Ito, and T. Koike (2021), Drought monitoring over West Africa based on an ecohydrological simulation (2003-2018), Hydrology, 8, 155 [link]
[27] Nara, H. and Y. Sawada (co-first authors) (2021), Global change in terrestrial ecosystem detected by fusion of microwave and optical satellite observations, Remote Sensing, 13, 3756 [link]
[26] Nomura, S. and Y. Sawada (2021), Multi-objective parameter optimization and uncertainty assessment in a land surface model by multiple satellites' observations, Annual Journal of Hydraulic Engineering, Japanese Society of Civil Engineering, 77, I_1351-I_1356 [link]
[25] Arakida, H., S. Kotsuki, S. Otsuka, Y. Sawada, and T. Miyoshi (2021), Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia, Progress in Earth and Planetary Science, 8, 52, [link]
[24] Tomizawa, F. and Y. Sawada (2021), Combining ensemble Kalman filter and reservoir computing to predict spatio-temporal chaotic systems from imperfect observations and models, Geoscientific Model Development, 14, 5623–5635 [link]
[23] Sawada, Y. (2020), Machine learning accelerates parameter optimization and uncertainty assessment of a land surface model, Journal of Geophysical Research - Atmospheres, 125, e2020JD032688 [link]
[22] Sawada, Y. and R. Hanazaki (2020), Socio-hydrological data assimilation: analyzing human-flood interactions by model-data integration, Hydrology and Earth System Sciences, 24, 4777-4791 [link]
[21] Sawada, Y. (2020), Do surface lateral flows matter for data assimilation of soil moisture observations into hyperresolution land models?, Hydrology and Earth System Sciences, 24, 3881-3898 [link]
[20] Yokomatsu, M, H. Ishiwata, Y. Sawada, Y. Suzuki, T. Koike, A. Naseer, and M. J. M. Cheema (2020), Multi-sector multi-region economic growth model of drought and the value of water: A case study in Pakistan, International Journal of Disaster Risk Reduction, 43, 101368 [link]
[19] Tsutsui, H, Y. Sawada, E. Ikoma, M. Kitsuregawa, and T. Koike (2019), Study on the estimation of crop production and required irrigation water based on long-term drought simulation by using the Coupled Land and Vegetation Data Assimilation, Annual Journal of Hydraulic Engineering, Japanese Society of Civil Engineering, 64, I_283-288 (in Japanese)
[18] Toride, K., Y. Sawada, K. Aida, and T. Koike (2019), Toward high-resolution soil moisture monitoring by combining active-passive microwave and optical vegetation remote sensing products with land surface model, Sensors, 19, 3924 [link]
[17] Sawada, Y., T. Koike, E. Ikoma, and M. Kitsuregawa (2019), Monitoring and predicting agricultural droughts for a water-limited sub-continental region by integrating a land surface model and microwave remote sensing, IEEE Transactions on Geoscience and Remote Sensing, 58, 14-33 [link]
[16] Sawada, Y., K. Okamoto, M. Kunii, and T. Miyoshi (2019), Assimilating every-10-minute Himawari-8 infrared radiances to improve convective predictability, Journal of Geophysical Research - Atmospheres, 124, 2546-2561 [link]
[15] Okamoto, K., Y. Sawada, and M. Kunii (2019), Comparison of assimilating all-sky and clear-sky infrared radiances from Himawari-8 in a mesoscale system, Quarterly Journal of the Royal Meteorological Society, 145, 745-766 [link]
[14] Tsutsui, H., Y. Sawada, and T. Koike (2018), Monitoring the 2005 historical drought in the northeastern Brazil using the Coupled Land and Vegetation Data Assimilation System (CLVDAS), Annual Journal of Hydraulic Engineering, Japanese Society of Civil Engineering, in press
[13] Sawada, Y. (2018), Quantifying drought propagation from soil moisture to vegetation dynamics using a newly developed ecohydrological land reanalysis, Remote Sensing, 10, 1197 [link]
[12] Sawada, Y., T. Nakaegawa, and T. Miyoshi (2018), Hydrometeorology as an inversion problem: Can river discharge observations improve the atmosphere by ensemble data assimilation?, Journal of Geophysical Research - Atmospheres, 123, 848-860 [link]
[11] Sawada, Y., T. Koike, K. Aida, K. Toride, and J. P. Walker (2017), Fusing Microwave and Optical Satellite Observations to Simultaneously Retrieve Surface Soil Moisture, Vegetation Water Content, and Surface Soil Roughness, IEEE Transactions on Geoscience and Remote Sensing, 55, 6195-6206 [link]
[10] Sawada, Y., H. Tsutsui, and T. Koike (2017), Ground Truth of Passive Microwave Radiative Transfer on Vegetated Land Surfaces, Remote Sensing, 9, 655 [link]
[9] Tsutsui, H., Y. Sawada, and T. Koike (2017), Drought analysis over the Australian continent based on the output of Coupled Land and Vegetation Data Assimilation System (CLVDAS), Annual Journal of Hydraulic Engineering, Japanese Society of Civil Engineering, 61 (in Japanese) [link]
[8] Sawada, Y. and T. Koike (2016), Ecosystem resilience to the Millennium drought in southeast Australia (2001-2009), Journal of Geophysical Research - Biogeosciences, 121, 2312-2327 [link]
[7] Sawada, Y. and T. Koike (2016), Towards ecohydrological drought monitoring and prediction using a land data assimilation system: A case study on the Horn of Africa drought (2010-2011), Journal of Geophysical Research - Atmospheres, 121, 8229-8242 [link]
[6] Sawada, Y., H. Tsutsui, T. Koike, M. Rasmy, R. Seto, and H. Fujii (2016), A Field Verification of an Algorithm for Retrieving Vegetation Water Content from Passive Microwave Observations, IEEE Transactions on Geoscience and Remote Sensing, 54, 2082-2095. [link]
[5] Sawada, Y., T. Koike, and J. P. Walker (2015), A land data assimilation system for simultaneous simulation of soil moisture and vegetation dynamics, Journal of Geophysical Research – Atmospheres, 120, 5910-5930 [link]
[4] Sawada, Y. and T. Koike (2014), Simultaneous estimation of both hydrological and ecological parameters in an eco-hydrological model by assimilating microwave signal, Journal of Geophysical Research – Atmospheres, 119, 8839-8857 [link]
[3] Sawada, Y., T. Koike, and P. A. Jaranilla-Sanchez (2014),Modeling hydrologic and ecologic responses using a new eco-hydrological model for identification of droughts, Water Resources Research, 50, 6214-6235 [link]
[2] Sawada, Y. and T. Koike (2014),Development of the optimization scheme of the hydrological – ecological coupling model assimilating microwave signal, Annual Journal of Hydraulic Engineering, Japanese Society of Civil Engineering, 58 (in Japanese) [link]
[1] Sawada, Y. and T. Koike (2013), Development of a Distributed Hydrological – Dynamic Vegetation Coupling Model and Its Application to North Africa, Annual Journal of Hydraulic Engineering, Japanese Society of Civil Engineering, 57 (in Japanese) [link]
Peer-Reviewed Conference Proceedings
[1] Ishiwata, H., M. Yokomatsu, M. A. I. H. Elagaty, T. Koike, Y. Sawada, P. A. Jaranilla-Sanchez, and Y. Suzuki (2017), Two-Country Computable Equilibrium Model of International Drought Risk Sharing: The Case of Pakistan and the Philippines, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, Canada [link]
Coming soon, maybe
Sawada, Y. et al., new land reanalysis, submitted [arXiv]
Tomizawa, F. et al., UQ for extreme flood prediction, in prep
Kotani, H. et al. Cry wolf effect in networks, submitted [Research Square]
Kulkarni, S. and Y. Sawada, human-induced droughts, submitted
Hiura, N. and Y. Sawada, UQ in inundation simulation, in prep
Hirose, Y. et. al., UQ in TC prediction, in prep
Sawada, Y., EnKF and MPC, submitted [arXiv]
Islam, R., and Y. Sawada, TC ranking, submitted
Sawada, Y., EnKC with Lorenz96, submitted [arXiv]
Jo, J. et al. ETKF with SWMM, submitted
Kulkarni, S. and Y. Sawada, inter-comparison of drought indices, in prep
Kubo, A and Y. Sawada, on the predictability of climate tipping, submitted [arXiv]
Awards
[9] Outstanding discussion award, Commitee on Hydroscience and Hydraulic Engineering, Japan Society of Civil Engineers, June 2021
[8] Katsu Award, the University of Tokyo, April 2021 (克研究奨励賞)
[7] Young scientist award, Ministry of Education, Culture, Sports, Science, and Technology, Japan, April 2020 (文部科学大臣表彰 若手科学者賞)
[6] Dean's Award (Best Research), School of Engineering, the University of Tokyo, March 2016
[5] President's Award, the University of Tokyo, March 2016
[4] Koui Furuichi Award ( top 10% of good master dissertation award in Department of Civil Engineering, the University of Tokyo), March 2013
[3] Invited speaker of the 4th World Lake Student Meeting ( selected ten students from among the many international applicants), July 2012
[2] Sakuro Tanabe Award (good bachelor dissertation award in Department of Civil Engineering, the University of Tokyo), March 2011
[1] Henry Dyer Award (prize for excellence in the grade of course works in Department of Civil Engineering , the University of Tokyo), March 2011
Presentations (Presenter only)
[85] Sawada, Y. Toward next-generation hydroclimate modeling, GEWEX Early Career Researcher Workshop, 4-6 July 2024, Sapporo, Japan (Oral) (Invited)
[84] Sawada, Y., Le Duc, Earth system modeling in latent space: a time-varying parameter approach, Japan Geoscience Union (JpGU) annual meeting, 26-31 May 2024, Chiba, Japan (Oral)
[83] Miwa, N., Y. Sawada, Strongly vs. weakly coupled data assimilation in coupled systems with various inter-compartment interactions, Japan Geoscience Union (JpGU) annual meeting, 26-31 May 2024, Chiba, Japan (Oral)
[82] Sawada, Y., H Fujii, H Tsutsui, K Aida, R Shimada, M Kachi, T Koike, Ecohydrological Land Reanalysis: A semi-global vegetation water content and soil moisture dataset by land data assimilation, Japan Geoscience Union (JpGU) annual meeting, 26-31 May 2024, Chiba, Japan (Oral)
[81] 澤田洋平, メソ気象研究の新展開としての社会気象学への招待 , 第57回メソ気象研究会, 5/23 2024, 柏 (Oral) (Invited)
[80] 澤田洋平, シミュレーションとAIの融合で拓く水害予測の未来, Supercomputing Japan!, 3/13 2024, 東京 (Oral) (Invited)
[79] Sawada, Y., Impact-based ensemble forecasting of tropical cyclones, ESCAP/WMO TC Committee the 18th Integrated Workshop (18th IWS) in conjunction with the 4th Training and Research Coordination Group (TRCG) Forum, 18-19 November 2023, Bangkok, Thailand (Oral) (Invited)
[78] 澤田洋平, Rezuanul Islam, Le Duc, 青木慧, 社会的に意思決定可能な豪雨・台風制御とは何か？, 日本気象学会秋季大会, 10/23-26, 2023, 仙台 (Oral)
[77] Sawada, Y., Le Duc, An efficient estimation of spatio-temporally distributed parameters in dynamic models by ensemble Kalman filter, International Symposium of Data Assimilation (ISDA), 16-20 October, Bologna, Italy, 2023 (Poster)
[76] Sawada, Y., Le Duc, An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation, International Symposium of Data Assimilation (ISDA) Online, 2 June, 2023 (Oral)
[75] Sawada, Y., Le Duc, F. Tomizawa, M. Hung, Y. Hirose, K. Saito, Uncertainty quantification of sub-grid scale parameterizations in atmospheric models toward robust theory of weather controllability, Japan Geoscience Union (JpGU) annual meeting, 21-26 May, 2023, Chiba, Japan (Oral)
[74] Sawada, Y., An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation, Japan Geoscience Union (JpGU) annual meeting, 21-26 May, 2023, Chiba, Japan (Oral)
[73] Islam Rezuanul, Le Duc, 澤田洋平, 巨大アンサンブル気象予測を活用した広域高潮リスクマネジメント, 日本気象学会春季大会, 5/16-18, 2023, オンライン (Oral)
[72] Islam Rezuanul, Le Duc, 澤田洋平, 巨大アンサンブル気象予測を活用した広域高潮リスクマネジメント, 「富岳」成果創出加速プログラム 2022年度成果報告会, 3/20 2023, 柏 (Oral)
[71] 澤田洋平, 気象－社会結合系の制御理論の開拓に向けて：ムーンショット研究開発プロジェクトの紹介, 「微気象制御学」領域シンポジウム, 22 February 2023 (Oral), 東京 (Invited)
[70] 澤田洋平, 生態水文情報学：干ばつ監視・予測・制御のサイエンス, 東大水フォーラム公開シンポジウム「気候変動と水循環」, 13 February 2023 (Oral), 東京 (Invited)
[69] Sawada, Y., and Y. Kageyama, Global assessment of sub-national drought impact based on the Geocoded Disasters dataset and land reanalysis, AGU Fall meeting, 12-16 December, 2022 (Poster)
[68] Sawada. Y., An Efficient Estimation of Time-Varying Parameters of Dynamic Models by Combining Offline Batch Optimization and Online Data Assimilation , AGU Fall meeting, 12-16 December, 2022 (Poster)
[67] Sawada, Y., H. Tsutsui, H. Fujii, and T. Koike, Ecohydrological land reanalysis by assimilating satellite microwave observations into a land surface model, International Symposium of Data Assimilation (ISDA) Online, 3 December 2022 (Oral)
[66] 冨澤風翔, 澤田洋平, Le Duc, 不確実性定量化を通じた新しい気象モデリングの可能性, 日本気象学会秋季大会, 札幌, 10/24-27, 2022 (Oral)
[65] 澤田洋平, 筒井浩行, 藤井秀幸, 奈良秀春, 影山雄哉, 小池俊雄, AMSR-E/AMSR2に基づく長期陸域生態水文観測/再解析を基軸とした陸域生態系変動と干ばつの解析, 日本気象学会秋季大会, 札幌, 10/24-27, 2022 (Oral)
[64] 澤田洋平, 台風の進路は曲げられるのか？～水害予測技術100年の進歩と気象制御への挑戦～, 日本GIFオンラインセミナー, 7/22, 2022 (Oral) (Invited) [video]
[63] 澤田洋平, 機械学習が加速する極端気象現象予測の不確実性定量化, 「富岳」成果創出加速プログラム研究交流会, 3/14, 2022 (Oral) (Invited)
[62] 澤田洋平, 可視域とマイクロ波領域の衛星観測の融合による陸域生態系監視 , リモセン虎の穴セミナー, 2/15, 2022 (Oral) (Invited)
[61] Sawada, Y., R. Hanazaki, R. Kanai, and H. Kotani, Forecasting human-water interactions: data assimilation approach, AGU Fall meeting, 13-17 December, 2021 (Oral)
[60] Sawada, Y., H. Fujii, H. Tsutsui, and T. Koike, Ecohydrological land reanalysis, AGU Fall meeting, 13-17 December, 2021 (virtual poster)
[59] Sawada, Y. and R. Hanazaki, Socio-hydrological data assimilation: Analyzing human-flood interactions by model-data integration, International Symposium on Data Assimilation-Online, 4, June, 2021 (Oral)
[58] 澤田洋平, 極端水文気象現象に対する予測の不確実性定量化, 第10回JCAHPCセミナー, オンライン, 5/25, 2021 (Oral) (Invited)
[57] 澤田洋平, 金井琳, 小谷仁務, 社会気象学：社会ダイナミクスを考慮した新しい天気予報と水害警報に向けた試論, 日本気象学会春季大会, オンライン, 5/18-5/21, 2021 (Oral)
[56] Sawada, Y. and R. Hanazaki, Socio-hydrologic data assimilation: Analyzing human-flood interactions by model-data integration, AGU Fall meeting virtual, 7-11 December, 2020 (virtual poster)
[55] Sawada, Y., Machine learning accelerates parameter optimization and uncertainty assessment of an ecosystem model, JpGU-AGU joint meeting virtual, 12-16 July, 2020 (virtual poster).
[54] Sawada, Y. and R. Hanazaki, Socio-hydrologic data assimilation: Analyzing human-flood interactions by model-data integration, JpGU-AGU joint meeting virtual, 12-16 July, 2020 (virtual poster)
[53] Sawada, Y., H. Tsutsui, T. Koike, E. Ikoma, and M. Kitsuregawa, Satellite microwave observation to monitor and predict ecohydrological conditions: a land data assimilation approach, American Geophysical Union Fall Meeting, San Fransisco, USA, 9-13 December, 2019 (Poster)
[52] Sawada, Y., Machine learning accelerates parameter optimization and uncertainty quantification of a land surface model , American Geophysical Union Fall Meeting, San Fransisco, USA, 9-13 December, 2019 (Oral)
[51] Sawada, Y., Drought monitoring and prediction: the grand challenge for sustainable development, Exploration of Satellite data for monitoring drought, Cunene, Angola, 13 November, 2019 (Oral) (Invited)
[50] 澤田洋平, データ駆動型アプローチが加速する地球科学シミュレーションの不確実性定量化, 日本気象学会秋季大会, 福岡, 10/28-10/31. 2019 (Oral)
[49] Sawada, Y., T. Nakaegawa, K. Okamoto, and H. Fujii, An ecohydrological land reanalysis by integrating simulation and satellite observations, JpGU Annual meeting, Chiba, Japan, 26-30 May, 2019 (Oral)
[48] Sawada, Y., Do surface lateral flows matter for land data assimilation?: Implication for hyper-resolution land modeling and observation, JpGU Annual meeting, Chiba, Japan, 26-30 May, 2019 (Oral)
[47] 澤田洋平, 岡本幸三, 三好建正, どれだけ高頻度に観測するべきか？：ひまわり8号全天候輝度温度データ同化による局地的大雨予測, 日本気象学会春季大会, 東京, 5/15-5/18. 2019 (Oral)
[46] Sawada, Y., Toward hyperresolution land data assimilation to monitor terrestrial water, energy, ecosystem, and hydrological disasters, International Symposium on Data Assimilation 2019, Kobe, Japan, 21-24 January, 2019 (Poster)
[45] Sawada, Y., T. Nakaegawa, and T. Miyoshi, Hydrometeorology as an inversion problem: Can river discharge observations improve the atmosphere by ensemble data assimilation?, 99th American Meteorological Society Annual Meeting, Pheonix, USA, 6-10 January, 2019 (Oral)
[44] Sawada, Y., K. Okamoto, M. Kunii, and T. Miyoshi, Assimilating every-10-minute Himawari-8 infrared radiances to improve convective predictability, 99th American Meteorological Society Annual Meeting, Pheonix, USA, 6-10 January, 2019 (Oral)
[43] Sawada, Y., Do lateral flows matter for data assimilation of soil moisture observation into hyperresolution hydrological models?, American Geophysical Union Fall Meeting, Washington DC., USA, 10-14 December, 2018 (Poster)
[42] Sawada, Y., K. Okamoto, M. Kunii, and T. Miyoshi, Assimilating every-10-minute Himawari-8 infrared radiances to improve convective predictability, 5th International Workshop on Nonhydrostatic Models (NHM2018), Tokyo, Japan, 14-16 November, 2018 (Poster)
[41] 澤田洋平, 仲江川敏之, 三好建正, 逆問題としての水文気象学：河川流量観測を使って天気予報の精度を改善する, 第16回環境研究シンポジウム, 東京, 11/13, 2018 (Poster)
[40] Sawada, Y., T. Nakaegawa, T. Miyoshi, and T. Ushiyama, Hydrometeorology as an inversion problem: Can river discharge observations improve the atmosphere by ensemble data assimilation?, 9th Japanese Data Assimilation Workshop, Tokyo, Japan, 10 October, 2018 (Oral) (Invited) [slide]
[39] Sawada, Y., Ecohydrological Land Analysis: Assimilating satellite microwave observations into a land surface model to simultaneously simulate soil moisture and vegetation dynamics, Joint Workshop of the 2nd International Surface Working Group (ISWG) and 8th Land Surface Analysis Satellite Application Facility (LSA-SAF), Lisbon, Portugal, 26-28 June, 2018 (Oral)
[38] Sawada, Y., K. Okamoto, M. Kunii, and T. Miyoshi, Assimilating Himawari-8 infrared radiances to improve convective predictability, JpGU Annual meeting, Chiba, Japan, 5/20-24 2018 (Oral)
[37] Sawada, Y., Eco-hydrological land data assimilation to monitor terrestrial water, ecosystem, and hydrological disasters, JpGU Annual meeting, Chiba, Japan, 5/20-24 2018 (Oral) (Invited)
[36] 澤田洋平, 衛星観測マイクロ波放射輝度を同化した陸域水文・生態系の再解析, 日本気象学会春季大会, つくば, 5/16-19 2018 (Oral)
[35] 澤田洋平, 岡本幸三, 国井勝, 三好建正, 積乱雲スケールの予測可能性改善に向けたひまわり8号雲域輝度温度同化, 日本気象学会春季大会, つくば, 5/16-19 2018 (Poster)
[34] 澤田洋平, 生態水文モデリングと衛星データ同化による陸域再解析, 次世代陸モデル開発・応用・社会実装に関する合同ワークショップ, 東京大学柏キャンパス, 4/29, 2018 [slide]
[33] Sawada, Y. and T. Koike, Ecohydrological drought monitoring and prediction using a land data assimilation system, American Geophysical Union Fall Meeting, New Orleans, USA, 12-15 December 2017 (Oral)
[32] 澤田洋平, 仲江川敏之, 三好建正, 逆問題としての水文気象学：河川－大気強結合アンサンブルデータ同化の試み, 日本気象学会秋季大会, 札幌, 10/30-11/2 2017 (Oral)
[31] 澤田洋平, 岡本幸三, 国井勝, 三好建正, Running-In-Place 法を用いたひまわり8号全天輝度温度データ同化による局地的大雨の予測精度向上の試み, 日本気象学会秋季大会, 札幌, 10/30-11/2 2017 (Oral)
[30] 澤田洋平, 岡本幸三, 国井勝, 三好建正, ひまわり8号輝度温度データの同化による局地的大雨の再現性向上の試み, 日本気象学会春季大会, 東京, 5/25-28 2017(Oral)
[29] Sawada, Y., T. Nakaegawa, and T. Miyoshi, Potential of assimilating river discharge observations into the atmosphere by strongly coupled data assimilation: Hydrometeorology as an inversion problem, JpGU-AGU Joint Meeting, Chiba, Japan, 20-25 May 2017 (Oral)
[28] Sawada, Y., and T. Koike, Towards ecohydrological drought monitoring and prediction using a land data assimilation system, Hydrology delivers Earth System Sciences to Society 4, Tokyo, Japan, 16 May - 19 May 2017 (Oral)
[27] Sawada, Y., T. Nakaegawa, and T. Miyoshi, Potential of assimilating river discharge observations into the atmosphere by strongly coupled data assimilation: Hydrometeorology as an inversion problem, The 3rd RIKEN International Symposium on Data Assimilation (RISDA2017), Kobe, Japan, 27 February - 2 March 2017 (Poster)
[26] Sawada, Y., K. Okamoto, M. Kunii, and T. Miyoshi, Assimilating Himawari-8 all-sky infrared radiances to improve convective predictability, American Meteorological Society Annual Meeting 2017, Seattle, USA, 22-26 January 2017 (Oral)
[25] Sawada, Y., Towards monitoring and predicting mega-droughts: A model-data integration approach, Future Earth International Co-Design Workshop Earth Observation in Support of the Sustainable Development Goals, Tokyo, Japan, 16-18 January 2017 (Oral) (invited) [slide]
[24] 澤田洋平, 岡本幸三, 国井勝, 三好建正, ひまわり8号を活かした局地的大雨の予測精度向上の試み, 日本気象学会秋季大会, 名古屋大学, 10/26-28, 2016 (Oral)
[23] Sawada, Y., T. Koike, E. Ikoma and M. Kitsuregawa, Towards monitoring and predicting mega-droughts in Africa, International High Performance Computing Summer School 2016, Ljubljana, Slovenia, 27 June - 1 July (Virtual poster)
[22] 澤田洋平, モデル－データ統合による生態水文学的干ばつの解析, 東京大学総長賞受賞者プレゼンテーション, 東京大学, 3/23, 2016 (Oral) (invited)
[21] Sawada, Y., Towards monitoring and prediction of severe droughts by integrating numerical simulation and satellite observation, Asian Water Cycle Symposium 2016, Tokyo, Japan, 1-2 March 2016 (Oral) (Invited) [slide]
[20] Sawada, Y. and T. Koike, Ecosystem resilience to the Millennium Drought in southeast Australia: Possible mechanisms and implication to water resources managements, American Geophysical Union Fall Meeting, San Francisco, USA, 14-18 December 2015 (Poster)
[19] Sawada, Y., A land data assimilation system using microwave water cycle observations, Meeting of Research Group on Integrated Land Processes, Kyoto, Japan, 28 October 2015 (in Japanese) (Oral) (Invited) [slide]
[18] Sawada, Y. and T. Koike, The Coupled Land and Vegetation Data Assimilation System using AMSR2 brightness temperature dataset., Meteorological Society of Japan Spring meeting, Tsukuba, Japan, 21-24 May 2015 (in Japanese) (Oral)
[17] Sawada, Y. and T. Koike, Development of a new land data assimilation system for improvement of forecasting both soil moisture and vegetation dynamics, American Geophysical Union Fall Meeting, San Francisco, USA, 15-19 December 2014 (Poster)
[16] Sawada, Y. and T. Koike, Improving the Performance of an Eco-Hydrological Model to Estimate Soil Moisture and Vegetation Dynamics by Assimilating Microwave Signal, CAHMDA-VI & HEPEX-DAFOH Workshop, The University of Texas at Austin, USA, 8-12 September 2014 (Oral)
[15] Sawada, Y., H. Tsutsui, M. Rasmy, R. Seto, H. Fujii, and T. Koike, Field-Supported Verification and Improvement of an Algorithm to Retrieve Vegetation Water Content from Passive Microwave Observations, IGARSS2014, Quebec, Canada, July 13-18, 2014 (Poster)
[14] Sawada, Y. and T. Koike, Simultaneous Estimation of Hydrologic and Ecologic Parameters in an Eco-Hydrological Model Assimilating Microwave Signal, Japan Geoscience Union Meeting, Pacifico Yokohama, Yokohama, Japan, 28 April – 2 May 2014 (Oral)
[13] Sawada, Y. and T. Koike, Development of the optimization scheme of the hydrological – ecological coupling model assimilating microwave signal, Japanese Society of Civil Engineering Conference on Hydraulic Engineering, Kobe, Japan, 4-6 March 2014 (Oral)
[12] Sawada, Y., T. Koike, and M. Rasmy, Simultaneous Estimation of both Hydrologic and Ecologic Parameters in the New Eco-hydrological Model Assimilating Microwave Signal, American Meteorological Society 94th Annual Meeting, Atlanta, USA, 2-6 February 2014 (Oral)
[11] Sawada, Y. and T. Koike, Modeling hydrologic and ecologic responses in Mongolia using Coupled Land and Vegetation Data Assimilation System towards quantification of severe droughts, International Workshop on Terrestrial Change in Mongolia, JAMSTEC Tokyo office, Japan, 20 December 2013 (Oral)
[10] Sawada, Y. and T. Koike and P. A. Jaranilla-Sanchez, Identifying Droughts by Modeling the Hydrologic and Ecologic Responses in the Medjerda River Basin, Tunisia, American Geophysical Union Fall Meeting, San Francisco, USA, 9-13 December 2013 (Oral)
[9] Sawada, Y. and T. Koike, Development of a hydrological – dynamic vegetation coupling model and its optimization scheme assimilating microwave signal, Meteorological Society of Japan Fall meeting, Tohoku University, Japan, 19-21 November 2013 (in Japanese) (Oral)
[8] Sawada, Y., Toshio Koike, and P. A. Jaranilla-Sanchez, Towards sustainable water resources management against severe droughts – the case study on drought analysis at African river basin -, The 1st Russian-Japanese Collaboration Seminar for Sustainable Environment, Moscow State University, Russia, 7-8 Octobar 2013 (Poster)
[7] Sawada, Y., T. Koike, C. T. Nyunt, A. Yamamoto and M. Kitsuregawa, Developing Distributed Hydrologic-Vegetation Dynamics Coupling Model: A Case Study in African River Basins, Japan Geoscience Union Meeting, Makuhari Messe, Japan, 19-24 May 2013 (in Japanese) (Oral)
[6] Sawada, Y. and T. Koike, Development of a Distributed Hydrological – Dynamic Vegetation Coupling Model and Its Application to North Africa, Japanese Society of Civil Engineering Conference on Hydraulic Engineering, Nagoya, Japan, 5-7 March 2013 (in Japanese) (Oral)
[5] Sawada, Y. and T. Koike, Impact of climate change on vegetation dynamics in a West African river basin, American Geophysical Union Fall Meeting, San Francisco, USA, 3-7 December 2012 (Poster)
[4] Sawada, Y. and T. Koike, Towards sustainable water resource management against severe droughts in West Africa, ASLO Aquatic Sciences Meeting, Lake Biwa, Otsu, Shiga, Japan, 8-13 July, 2012 (Oral) (Invited)
[3] Sawada, Y. and T. Koike, Preliminary demonstration: Development of the Hydrological Model in Volta River Basin, West Africa, GEO-UNESCO Joint Workshop on Earth Observations and Capacity Development for Integrated Water Resources Management at River Basins in Africa, Nairobi, Kenya, 12-16 January, 2012 (Oral) (Invited)
[2] Sawada, Y. and T. Koike, Effects of the land-atmosphere interaction on the West African monsoon onset, World Climate Research Programme Open Science Conference, Denver, Colorado, USA, 24-28 October, 2011 (Poster)
[1] Sawada, Y. and T. Koike, The Effect of Land Area on West African Monsoon, 2nd GEOSS African Water Cycle Symposium, Addis Ababa, Ethiopia, 23-25 February 2011 (Poster)
Projects / Funding (in Japanese)
[15] 2022.6-2027.3 (予定) 科学技術振興機構 ムーンショット型研究開発事業 目標8 "社会的意思決定を支援する気象－社会結合系の制御理論" (プログラムマネージャ：直接経費総額約539,000千円)
[14] 2022.4-2025.3 宇宙航空研究開発機構(JAXA) 第3回地球観測研究 "生態水文再解析を基軸とした干ばつの解析・予測可能性研究"（代表：約22650千円）
[13] 2022.4-2025.3 日本学術振興会 科学研究費助成事業挑戦的研究(萌芽) "水害予測におけるオオカミ少年効果の理論・実証分析：新しい水害警報の設計への挑戦 " (代表：約5000千円)
[12] 2021.4 第3回克研究奨励賞(10000千円)
[11] 2021.4-2026.3 日本学術振興会 科学研究費助成事業基盤研究(B) "グローバル農業干ばつ危険度確率予測" (代表：約15000千円)
[10] 2021.4- 科学技術振興機構 創発的研究開発事業 ”数値社会空間予測の創発による社会変革の先導”(代表：20000千円(フェーズ1予定))
[9] 2021.1 - 2021.6 科学技術振興機構 ムーンショット型研究開発事業 ミレニア・プログラム ”気象制御可能性に関する調査研究” (サブリーダ)
[8] 2020.11 - 2022.10 河川情報センター研究助成 "気候変動に対して頑健な洪水流出解析" (代表：約2617千円(予定))
[7] 2019.10 - 2024.3 令和元年度東京大学卓越研究員 (6000千円)
[6] 2019.4 - 2022.3 宇宙航空研究開発機構(JAXA) 第2回地球観測研究 "マイクロ波衛星観測の陸域モデルへのデータ同化技術に基づく干ばつの監視と予測"（代表：2913千円（予定））
[5] 2018.4 - 2021.3 日本学術振興会 科学研究費助成事業基盤研究(A) "衛星マイクロ波リモートセンシングによる水循環極端事象の監視と予測" (分担：2400千円)
[4] 2019.10 - 2020.3 東京大学工学系研究科若手教員スタートアップ支援 (7500千円)
[3] 2017.4 - 2020.3 日本学術振興会 科学研究費助成事業若手研究(B) "超高解像度陸面データ同化システムの開発" (代表：3300千円)
[2] 2016.9 - 2017.3 科学技術振興機構(JST) AIPチャレンジ "逆問題としての水文気象学" (代表：1000千円) [link]
[1] 2013.4 - 2016.3:日本学術振興会 特別研究員奨励費DC1 "社会的意思決定を支援する「気候―水循環―植生―人間」結合系のモデリング" (代表：3000千円)
Review Experiences
Atmospheres
Environmental Processes
forests
Geophysical Research Letters
Geosciences
Global Change Biology
Hydrology
Hydrology and Earth System Sciences
IEEE Transactions on Geoscience and Remote Sensing
International Journal of Digital Earth
International Journal of Remote Sensing
Journal of Advances in Modeling Earth Systems
Journal of Geophysical Research - Atmospheres
Journal of Geophysical Research - Biogeosciences
Journal of Meteorological Society of Japan
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Land
Nonlinear Processes in Geophysics
Remote Sensing
Sensors
Scientific Online Letters on the Atmosphere (SOLA)
Supercomputing
Water
Water Resources Research