SETO Rie

Job title	Researcher / The 3rd Lab. / Department of Observation and Data Assimilation Research
E-mail	rseto[at]mri-jma.go.jp
Personal
Expertise	Hydrometeorology, Satellite remote sensing, Coupled atmosphere and land data assimilation
Degree	Ph.D.
Publications	Rie SETO, Toshio KOIKE, and Misako KACHI: “Feasibility of liquid water path estimation of over land using satellite-based Ka-band passive microwave data”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, Issue 1-20, 07 December 2023, https://doi.org/10.1109/TGRS.2023.3340264 瀬戸 里枝，鼎　信次郎「仮想観測シミュレーションとOSSEを組合せた小型マイクロ波衛星群データ同化による短期降水予測可能性と要求観測性能の評価法の提案」，土木学会論文集B1（水工学），Vol.78, No.2, I_511-I_516, 2022年11月，https://doi.org/10.2208/jscejhe.78.2_I_511 瀬戸 里枝：「Ka-band衛星マイクロ波による大気陸面結合データ同化の開発と平成30年7月豪雨への適用」, 土木学会論文集B1（水工学）, Vol.77, No.2, I_1345-I_1350, doi:https://doi.org/10.22 Natsumi Kitajima, Rie Seto, Dai Yamazaki, Xudong Zhou, Wenchao Ma, and Shinjiro Kanae: ”Potential of SAR Small-Satellite Constellation for Rapid Monitoring of Flood Extent”, Remote Sensing, 13(10), 1959, https://doi.org/10.3390/rs13101959, 18 May, 2021 瀬戸里枝，鼎信次郎：「36と89GHzの衛星マイクロ波観測による陸域雲水量の雲降水粒子より分け推定の可能性の検討」，水文・水資源学会誌，34巻，3号，p. 161-180，https://doi.org/10.3178/jjshwr.34.161，2021年 Rie SETO, Kentaro AIDA, Toshio KOIKE, and Shinjiro KANAE: “Radiative Characteristics at 89 and 36 GHz for Satellite-Based Cloud Water Estimation Over Land”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, Issue 2, 1-14, 10.1109/TGRS.2020.2996239, 2020 瀬戸里枝，会田健太郎，鼎信次郎：「雲存在下での大気陸面間の高周波マイクロ波放射伝達特性に関する検討」，土木学会論文集B1（水工学），Vol.75, No.2, p.I_1-I_6, 2019年，DOI: doi.org/10.2208/jscejhe.75.2_I_1 Rie Seto, Toshio Koike, and Shinjiro Kanae: “Representing cloud water content of extensive cloud systems over land using satellite-based passive microwave observations with a coupled land and atmosphere assimilation method”, Journal of Geophysical Research: Atmospheres, 123, 12,829–12,856. https://doi.org/10.1029/2018JD028864, 2018 瀬戸里枝，小池俊雄，鼎信次郎：「衛星搭載マイクロ波放射計を用いた陸域雲水量の推定手法の提案」，土木学会論文集B1（水工学），Vol.74, No.5, p.I_1219-I_1224，2018年，DOI: doi.org/10.2208/jscejhe.74.5_I_1219 Rie Seto, Toshio Koike, and Mohamed Rasmy: “Heavy rainfall prediction applying satellite-based cloud data assimilation over land”, J. Geophys. Res. Atmos., American Geophysical Union, 121, 9737-9755, doi:10.1002/2016JD025291, 2016. Rie Seto, Toshio Koike, and Mohamed Rasmy: “Analysis of the vertical structure of the atmospheric heating process and its seasonal variation over the Tibetan Plateau using a land data assimilation system”, J. Geophys. Res. Atmos., American Geophysical Union, 118, 12403-12421, doi:10.1002/2013JD020072, 2013.
Project	Research on Data Assimilation Technology and High-level Use of Observation Data