Papers：
Hao, Z., X. Yuan, Y. Xia (2017). An overview of drought monitoring and prediction systems at regional and global scales. Bulletin of the American Meteorological Society, 98, 1879–1896
Hao, Z., F. Hao, V. P. Singh, et al. (2017). An integrated drought package for drought monitoring, prediction and analysis to aid drought modeling and assessment. Environmental modeling & software, 91: 199-209
Hao, Z., F. Hao, V. P. Singh, et al. (2016). A theoretical drought classification method for the multivariate drought index based on distribution properties of standardized drought indices. Advances in Water Resources, 92:240–247
Hao, Z., F. Hao, Y. Xia et al. (2016). A statistical method for categorical drought prediction based on NLDAS-2. Journal of Applied Meteorology and Climatology,55(4): 1049-1061
Hao, Z., Y. Hong, Y. Xia et al. (2015). Probabilistic drought characterization in the categorical form using ordinal regression Model. Journal of Hydrology, 535: 331–339.
Hao, Z. and V. P. Singh (2015). Drought characterization from a multivariate perspective: A review, Journal of Hydrology, 527: 668–678.
Hao, Z. et al. (2014). Global integrated drought monitoring and prediction system. Scientific Data. 1:140001 doi: 10.1038/sdata.2014.1
Hao, Z. et al (2013). Changes in concurrent monthly precipitation and temperature extremes, Environmental Research Letter, 8, 034014.
Hao, Z. and V. P. Singh (2013), Modeling multi-site streamflow dependence with maximum entropy copula, Water Resources Research, 49.
Hao, Z. and A. AghaKouchak (2013), Multivariate Standardized Drought Index: a multi-index approach for drought analysis, Advances in Water Resources, 57, 12–18.
Hao, Z. and V. P. Singh (2011), Single-site monthly streamflow simulation using entropy theory, Water Resources Research, 47, W09528.