An improved statistical approach to merge satellite rainfall estimates and raingauge data M Li, Q Shao Journal of Hydrology 385 (1-4), 51-64, 2010 | 290 | 2010 |
A new regionalization approach and its application to predict flow duration curve in ungauged basins M Li, Q Shao, L Zhang, FHS Chiew Journal of Hydrology 389 (1-2), 137-145, 2010 | 155 | 2010 |
Predicting runoff signatures using regression and hydrological modeling approaches Y Zhang, FHS Chiew, M Li, D Post Water Resources Research 54 (10), 7859-7878, 2018 | 143 | 2018 |
An empirical likelihood goodness-of-fit test for time series SX Chen, W Härdle, M Li Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003 | 116 | 2003 |
Statistical uncertainty estimation using random forests and its application to drought forecast J Chen, M Li, W Wang Mathematical Problems in Engineering 2012 (1), 915053, 2012 | 99 | 2012 |
Predicting hydrological signatures in ungauged catchments using spatial interpolation, index model, and rainfall–runoff modelling Y Zhang, J Vaze, FHS Chiew, J Teng, M Li Journal of Hydrology 517, 936-948, 2014 | 88 | 2014 |
Reliable long‐range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model JC Bennett, QJ Wang, M Li, DE Robertson, A Schepen Water Resources Research 52 (10), 8238-8259, 2016 | 85 | 2016 |
Estimating annual runoff in response to forest change: A statistical method based on random forest M Li, Y Zhang, J Wallace, E Campbell Journal of Hydrology 589, 125168, 2020 | 71 | 2020 |
Error reduction and representation in stages (ERRIS) in hydrological modelling for ensemble streamflow forecasting M Li, QJ Wang, JC Bennett, DE Robertson Hydrology and Earth System Sciences 20 (9), 3561-3579, 2016 | 70 | 2016 |
Comparing flow duration curve and rainfall–runoff modelling for predicting daily runoff in ungauged catchments Y Zhang, J Vaze, FHS Chiew, M Li Journal of Hydrology 525, 72-86, 2015 | 66 | 2015 |
Assessment of an ensemble seasonal streamflow forecasting system for Australia JC Bennett, QJ Wang, DE Robertson, A Schepen, M Li, K Michael Hydrology and Earth System Sciences 21 (12), 6007-6030, 2017 | 65 | 2017 |
A strategy to overcome adverse effects of autoregressive updating of streamflow forecasts M Li, QJ Wang, JC Bennett, DE Robertson Hydrology and Earth System Sciences 19 (1), 1-15, 2015 | 53 | 2015 |
An improved statistical analogue downscaling procedure for seasonal precipitation forecast Q Shao, M Li Stochastic environmental research and risk assessment 27 (4), 819-830, 2013 | 53 | 2013 |
Improved error modelling for streamflow forecasting at hourly time steps by splitting hydrographs into rising and falling limbs M Li, QJ Wang, DE Robertson, JC Bennett Journal of Hydrology 555, 586-599, 2017 | 39 | 2017 |
Application of a macroscale hydrologic model to estimate streamflow across southeast Australia F Zhao, FHS Chiew, L Zhang, J Vaze, JM Perraud, M Li Journal of Hydrometeorology 13 (4), 1233-1250, 2012 | 37 | 2012 |
Streamflow forecasting using functional-coefficient time series model with periodic variation Q Shao, H Wong, M Li, WC Ip Journal of Hydrology 368 (1-4), 88-95, 2009 | 33 | 2009 |
Accounting for seasonal dependence in hydrological model errors and prediction uncertainty M Li, QJ Wang, J Bennett Water Resources Research 49 (9), 5913-5929, 2013 | 31 | 2013 |
Experimental evaluation of the dynamic seasonal streamflow forecasting approach NK Tuteja, D Shin, R Laugesen, U Khan, Q Shao, E Wang, M Li, H Zheng, ... Commonwealth of Australia (Bureau of Meteorology), 2011 | 31 | 2011 |
A new trend analysis for seasonal time series with consideration of data dependence Q Shao, M Li Journal of hydrology 396 (1-2), 104-112, 2011 | 30 | 2011 |
Bayesian designs with frequentist and Bayesian error rate considerations YG Wang, DHY Leung, M Li, SB Tan Statistical Methods in Medical Research 14 (5), 445-456, 2005 | 30 | 2005 |