Research field (1)：
Disaster prevention engineering
Research keywords (3)：
data assimilation
, hydrometeorology
, hydrology
Research theme for competitive and other funds (4)：
2021 - 2026 Global integrated probabilistic forecasting of agricultural droughts
2018 - 2021 Monitoring and Prediction of Hydrological Extreme Events by Satellite Microwave Remote Sensing
2017 - 2020 A hyper-resolution land data assimilation system
2013 - 2016 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
Papers (22)：
Hazuki Arakida, Shunji Kotsuki, Shigenori Otsuka, Yohei Sawada, Takemasa Miyoshi. Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia. Progress in Earth and Planetary Science. 2021
Muneta Yokomatsu, Hiroaki Ishiwata, Yohei Sawada, Yushi Suzuki, Toshio Koike, Asif Naseer, Muhammad Jehanzeb Masud Cheema. A 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. 2020. 43
Yohei Sawada, Toshio Koike, Eiji Ikoma, Masaru Kitsuregawa. Monitoring and Predicting Agricultural Droughts for a Water-Limited Subcontinental Region by Integrating a Land Surface Model and Microwave Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing. 2020. 58. 1. 14-33
Toride Kinya, Sawada Yohei, Aida Kentaro, Koike Toshio. Toward High-Resolution Soil Moisture Monitoring by Combining Active-Passive Microwave and Optical Vegetation Remote Sensing Products with Land Surface Model. SENSORS. 2019. 19. 18. 3924-3924
