Compound droughts and heat waves in China L Ye, K Shi, Z Xin, C Wang, C Zhang Sustainability 11 (12), 3270, 2019 | 60 | 2019 |
Spatio-temporal analysis of drought indicated by SPEI over northeastern China L Ye, K Shi, H Zhang, Z Xin, J Hu, C Zhang Water 11 (5), 908, 2019 | 30 | 2019 |
Characterization of global wildfire burned area spatiotemporal patterns and underlying climatic causes K Shi, Y Touge Scientific reports 12 (1), 644, 2022 | 25 | 2022 |
A global-scale relationship between crop yield anomaly and multiscalar drought index based on multiple precipitation data VSA Hendrawan, W Kim, Y Touge, S Ke, D Komori Environmental Research Letters 17 (1), 014037, 2022 | 22 | 2022 |
Applicability of hydrological models for flash flood simulation in small catchments of hilly area in China Z Xin, K Shi, C Wu, L Wang, L Ye Open Geosciences 11 (1), 1168-1181, 2019 | 15 | 2019 |
Evaluating potential flood mitigation effect of paddy field dam for Typhoon No. 19 in 2019 in the Naruse River basin Y Chai, Y Touge, K Shi, S Kazama Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering …, 2020 | 10 | 2020 |
Defining homogeneous drought zones based on soil moisture across japan and teleconnections with large-scale climate signals K Shi, Y Touge, S Kazama Journal of Applied Meteorology and Climatology 61 (1), 43-60, 2022 | 7 | 2022 |
Identifying the shift in global wildfire weather conditions over the past four decades: an analysis based on change-points and long-term trends K Shi, Y Touge Geoscience letters 10 (1), 3, 2023 | 4 | 2023 |
Spatial-temporal characteristics of more than 50,000 wildfires in Japan from 1995 to 2020 Y Touge, K Shi, T Nishino, C Sun, A Sekizawa Fire Safety Journal 142, 104025, 2024 | 2 | 2024 |
Rapid increase in the compound droughts and heat waves in China L Ye, K Shi, Z Xin, C Wang, C Zhang AGU Fall Meeting Abstracts 2019, H41N-1908, 2019 | 1 | 2019 |
Corrigendum to “Wildfire univariate and bivariate characteristics simulation based on multiple machine learning models and applicability analysis of wildfire models”[Progress … K Shi, Y Touge, Y Dou Progress in Disaster Science, 100306, 2023 | | 2023 |
Wildfire univariate and bivariate characteristics simulation based on multiple machine learning models and applicability analysis of wildfire models K Shi, Y Touge, Y Dou Progress in Disaster Science 20, 100301, 2023 | | 2023 |
Defining Global Fire Spatiotemporal Patterns and Exploring the Climatic Drivers of Fire K Shi, Y Touge Proceeding of Annual Conference Proceedings of 2022 Annual Conference, Japan …, 2022 | | 2022 |
Construction of Drought Regimes by Spatiotemporal Characteristics of Drought and Quantifying the Climatic Causes K Shi, Y Touge, S Kazama AGU Fall Meeting Abstracts 2021, NH15F-0499, 2021 | | 2021 |
Defining Drought Regimes in Japan and How Climatic Drivers Affect Them SHI Ke, Y TOUGE, S KAZAMA 地球環境シンポジウム講演集= Proceedings of the Symposium of Global …, 2021 | | 2021 |
Evaluating Spatiotemporal Patterns of Drought in Japan from 1960 to 2018 K Shi, Y Touge, S Kazama AGU Fall Meeting Abstracts 2020, H172-0008, 2020 | | 2020 |