Follow
Shi, Ke
Shi, Ke
Verified email at dc.tohoku.ac.jp
Title
Cited by
Cited by
Year
Compound droughts and heat waves in China
L Ye, K Shi, Z Xin, C Wang, C Zhang
Sustainability 11 (12), 3270, 2019
602019
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
302019
Characterization of global wildfire burned area spatiotemporal patterns and underlying climatic causes
K Shi, Y Touge
Scientific reports 12 (1), 644, 2022
252022
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
222022
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
152019
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
102020
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
72022
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
42023
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
22024
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
12019
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
The system can't perform the operation now. Try again later.
Articles 1–16