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Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models Journal article
Stochastic Environmental Research and Risk Assessment, 2018,Volume: 32,Issue: 5,Page: 1283-1297
Authors:  Mok, K. M.;  Yuen, K. V.;  Hoi, K. I.;  Chao, K. M.;  Lopes, D.
Favorite  |  View/Download:19/0  |  Submit date:2018/10/30
Adaptive Bayesian Model Averaging  Kalman Filter  Model Switching  Ozone Prediction  Statistical Model  
Selection of bias correction models for improving the daily PM10 forecasts of WRF-EURAD in Porto, Portugal Journal article
ATMOSPHERIC POLLUTION RESEARCH, 2017,Volume: 8,Issue: 4,Page: 628-639
Authors:  Mok, K. M.;  Miranda, A. I.;  Yuen, K. V.;  Hoi, K. I.;  Monteiro, A.;  Ribeiro, I.
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Bayesian  Bias Correction  Model Selection  Pm10  Porto  
Adaptive Modelling of the Daily Behavior of the Boundary Layer Ozone in Macau Journal article
ISRN Meteorology, 2012,Volume: 2012,Page: 434176
Authors:  K. M. Chao;  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite  |  View/Download:5/0  |  Submit date:2019/05/17
Capturing the process of wave to runup Journal article
Journal of Hydrodynamics, 2010,Volume: 22,Issue: 5,Page: 29-33
Authors:  K. M. Mok;  Jie-lin Lu;  K. I. Hoi
Favorite  |  View/Download:1/0  |  Submit date:2019/06/10
Surface Waves  Shoaling  Wave Transformation  Runup