1. E. Muhammad, W. Muhammad, I. Ahmad, K.N. Muhammad, S. Chen* (2020) Satellite precipitation product: Applicability and accuracy evaluation in diverse region. Science China Technological Sciences, 63(5): 819-828.
2. W. Muhammad, S. Muhammad, N. Khan, and S. Chen* (2020) Hydrological drought indexing approach in response to climate and anthropogenic activities. Theoretical and Applied Climatology, 141(3-4): 1401-1413.
3. S. Chen, W. Zhong, S. Pan, Q. Xie* and T. Kim* (2020) Comprehensive Drought Assessment Using a Modified Composite Drought index: A Case Study in Hubei Province, China. Water, 12(2): 462.
4. S. Chen, G. Chung, B. Kim and T. Kim* (2019) Modified analogue forecasting in the hidden Markov framework for meteorological droughts. Science China Technological Sciences, 62(1): 151‒162.
5. S. Chen, M. Waseem, J. Lee, and T. Kim* (2018) Assessment of probabilistic multi-index drought using a dynamic naïve Bayesian classifier. Water Resources Management, 32:4359-4374.
6. S. Chen, Y. Li, J. Kim, S. Kim* (2017) Bayesian change point analysis for extreme daily precipitation. International Journal of Climatology, 37(7): 3123-3137.
7. S. Chen, J. Shin and T. Kim* (2017) Probabilistic forecasting of drought: a hidden Markov model aggregated with the RCP 8.5 precipitation projection. Stochastic Environmental Research and Risk Assessment, 31(5): 1061-1076.
1. E. Muhammad, W. Muhammad, I. Ahmad, K.N. Muhammad, S. Chen* (2020) Satellite precipitation product: Applicability and accuracy evaluation in diverse region. Science China Technological Sciences, 63(5): 819-828.
2. W. Muhammad, S. Muhammad, N. Khan, and S. Chen* (2020) Hydrological drought indexing approach in response to climate and anthropogenic activities. Theoretical and Applied Climatology, 141(3-4): 1401-1413.
3. S. Chen, W. Zhong, S. Pan, Q. Xie* and T. Kim* (2020) Comprehensive Drought Assessment Using a Modified Composite Drought index: A Case Study in Hubei Province, China. Water, 12(2): 462.
4. S. Chen, G. Chung, B. Kim and T. Kim* (2019) Modified analogue forecasting in the hidden Markov framework for meteorological droughts. Science China Technological Sciences, 62(1): 151‒162.
5. S. Chen, M. Waseem, J. Lee, and T. Kim* (2018) Assessment of probabilistic multi-index drought using a dynamic naïve Bayesian classifier. Water Resources Management, 32:4359-4374.
6. S. Chen, Y. Li, J. Kim, S. Kim* (2017) Bayesian change point analysis for extreme daily precipitation. International Journal of Climatology, 37(7): 3123-3137.
7. S. Chen, J. Shin and T. Kim* (2017) Probabilistic forecasting of drought: a hidden Markov model aggregated with the RCP 8.5 precipitation projection. Stochastic Environmental Research and Risk Assessment, 31(5): 1061-1076.