A new multimodel ensemble method using nonlinear genetic algorithm: An application to boreal winter surface air temperature and precipitation prediction

Comparison of projection skills of deterministic ensemble methods using pseudo-simulation data generated from multivariate Gaussian distribution

(2016) Seok-Geun Oh et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Improvement of CGCM prediction for wet season precipitation over Maritime Continent using a bias correction method

(2014) Sera Jo et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Dynamical seasonal predictability of the Arctic Oscillation using a CGCM

(2014) Jianqi Sun et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Assessment of APCC multimodel ensemble prediction in seasonal climate forecasting: Retrospective (1983-2003) and real-time forecasts (2008-2013)

(2014) Young-Mi Min et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Development of New Ensemble Methods Based on the Performance Skills of Regional Climate Models over South Korea

(2012) M.-S. Suh et al.   JOURNAL OF CLIMATE

The Reproducibility of Surface Air Temperature over South Korea Using Dynamical Downscaling and Statistical Correction

(2012) Joong-Bae AHN et al.   JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN

A GCM-based forecasting model for the landfall of tropical cyclones in China

(2011) Jianqi Sun et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Parameter estimations of a storm surge model using a genetic algorithm

(2011) Sung Hyup You et al.   NATURAL HAZARDS

Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980–2004)

(2008) Bin Wang et al.   CLIMATE DYNAMICS

Systematic Error Correction of Dynamical Seasonal Prediction of Sea Surface Temperature Using a Stepwise Pattern Project Method

(2008) Jong-Seong Kug et al.   MONTHLY WEATHER REVIEW

Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network

(2007) M. Nasseri et al.   EXPERT SYSTEMS WITH APPLICATIONS