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

Author:

Ahn Joong-Bae1,Lee Joonlee1

Affiliation:

1. Division of Earth Environmental Systems, Atmospheric Sciences; Pusan National University; Busan South Korea

Funder

Rural Development Administration Cooperative Research Program for Agriculture Science and Technology Development

Korea Meteorological Administration Research and Development Program

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Reference51 articles.

1. The reproducibility of surface air temperature over South Korea using dynamical downscaling and statistical correction;Ahn;J. Meteorol. Soc. Jpn.,2012

2. Linear statistical short-term climate predictive skill in the Northern Hemisphere;Barnston;J. Clim.,1994

3. Charbonneau , P. 2002 An introduction to genetic algorithms for numerical optimization 74

4. Charbonneau , P. B. Knapp 1995 A user's guide to PIKAIA 1.0

5. Predicting stock prices using book values and earnings-per-share based on linear regression model and neural network model;Choi;Kor. J. Financ. Man.,2000

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