1 Krasnopolsky, V. M., "neural network nonlinear multimodel ensemble to improve precipitation forecasts over continental US" 2012 : 2012
2 Tebaldi, C., "The use of the multi-model ensemble in probabilistic climate projections" 365 (365): 2053-2075, 2007
3 Lorenz, E. N, "The predictability of a flow which possesses many scales of motion" 21 (21): 289-307, 1969
4 Best, M. J., "The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes" 4 : 595-640, 2011
5 Buizza, R., "Stochastic representation of model uncertainties in the ECMWF ensemble prediction system" 125 (125): 2887-2908, 1999
6 Shiri, J., "Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model" 394 (394): 486-493, 2010
7 Min, S. K., "Probabilistic climate change predictions applying Bayesian model averaging" 365 (365): 2103-2116, 2007
8 Nair, A., "Prediction of Monthly Summer Monsoon Rainfall Using Global Climate Models Through Artificial Neural Network Technique" 175 (175): 403-419, 2018
9 Maraun, D., "Precipitation downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user" 48 (48): 2010
10 Korea Meteorological Administration, "Operating system and 2014 verification of the high resolution joint seasonal forecast system between KMA and Met Office" KMA 1-7, 2015
1 Krasnopolsky, V. M., "neural network nonlinear multimodel ensemble to improve precipitation forecasts over continental US" 2012 : 2012
2 Tebaldi, C., "The use of the multi-model ensemble in probabilistic climate projections" 365 (365): 2053-2075, 2007
3 Lorenz, E. N, "The predictability of a flow which possesses many scales of motion" 21 (21): 289-307, 1969
4 Best, M. J., "The Joint UK Land Environment Simulator (JULES), model description - Part 1: Energy and water fluxes" 4 : 595-640, 2011
5 Buizza, R., "Stochastic representation of model uncertainties in the ECMWF ensemble prediction system" 125 (125): 2887-2908, 1999
6 Shiri, J., "Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model" 394 (394): 486-493, 2010
7 Min, S. K., "Probabilistic climate change predictions applying Bayesian model averaging" 365 (365): 2103-2116, 2007
8 Nair, A., "Prediction of Monthly Summer Monsoon Rainfall Using Global Climate Models Through Artificial Neural Network Technique" 175 (175): 403-419, 2018
9 Maraun, D., "Precipitation downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user" 48 (48): 2010
10 Korea Meteorological Administration, "Operating system and 2014 verification of the high resolution joint seasonal forecast system between KMA and Met Office" KMA 1-7, 2015
11 Xu, J., "Online multitask learning framework for ensemble forecasting" 29 (29): 1268-1280, 2017
12 Madec, G., "Note du Pole de Modélisation" Institut Pierre-Simon Laplace (IPSL) 2008
13 Sun, W., "Multiple model combination methods for annual maximum water level prediction during river ice breakup" 32 (32): 421-435, 2018
14 Mitchell, T. M., "Machine Learning" WCB/McGraw-Hill 108-112, 1997
15 Jang, J. S. R, "Input selection for ANFIS learning" 2 : 1493-1499, 1996
16 Awan, J. A., "Improving ANFIS based model for long-term dam inflow prediction by incorporating monthly rainfall forecasts" 28 (28): 1185-1199, 2014
17 Wood, A. W., "Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs" 62 : 189-216, 2004
18 World Meterological Organization, "Guidelines on ensemble prediction systems and forecasting" World Meterological Organization 1-17, 2012
19 Wu, M. C., "Effective Use of Ensemble Numerical Weather Predictions in Taiwan by Means of a SOM-Based Cluster Analysis Technique" 9 (9): 836-, 2017
20 Chau, K. W., "Comparison of several flood forecasting models in Yangtze River" 10 (10): 485-491, 2005
21 Hunke, E. C., "CICE: the Los Alamos Sea Ice Model Documentation and Software User’s Manual Version 4.1" T-3 Fluid Dynamics Group, Los Alamos National Laboratory 675-, 2010
22 Raftery, A. E., "Bayesian model averaging to calibrate forecast ensembles" 133 : 1155-1174, 2005
23 Doycheva, K., "Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning" 33 : 427-439, 2017
24 Yaseen, Z. M., "Artificial intelligence based models for stream-flow forecasting: 2000-2015" 530 : 829-844, 2015
25 Sarraf, B. S., "Analysis of post-processing method for dynamic models output using network data for the drought in North West of Iran" 181 : 2017
26 Jang, J. S. R, "ANFIS: Adaptive-network-based fuzzy inference system" 23 (23): 665-685, 1993
27 Cuo, L., "A review of quantitative precipitation forecasts and their use in short-to mediumrange streamflow forecasting" 12 (12): 713-728, 2011
28 Davies, T., "A new dynamical core for the Met Office's global and regional modelling of the atmosphere" 131 (131): 1759-1782, 2005
29 Cheng, L., "A methodology for deriving ensemble response from multimodel simulations" 522 : 49-57, 2015