Seasonal prediction of high-resolution temperature at 2-m height over Mongolia during boreal winter using both coupled general circulation model and artificial neural network

Author:

Bayasgalan Gerelchuluun1ORCID,Ahn Joong-Bae1ORCID

Affiliation:

1. Division of Earth Environmental System; Pusan National University; Busan South Korea

Funder

Rural Development Administration

Korean Meteorological Administration

Publisher

Wiley

Subject

Atmospheric Science

Reference56 articles.

1. Multilayer perceptron neural network for downscaling rainfall in arid region: a case study of Baluchistan, Pakistan;Ahmed;Journal of Earth System Science,2015

2. Improvement of 1-month lead predictability of the wintertime AO using realistically varying solar constant for a CGCM;Ahn;Meteorological Applications,2014

3. A new multimodel ensemble method using nonlinear genetic algorithm: an application to boreal winter surface air temperature and precipitation prediction;Ahn;Journal of Geophysical Research: Atmospheres,2016

4. The reproducibility of surface air temperature over South Korea using dynamical downscaling and statistical correction;Ahn;Journal of the Meteorological Society of Japan,2012

5. Evaluation of probabilistic quality and value of the ENSEMBELS multimodel seasonal forecasts: comparison with DEMETER;Alessandri;Monthly Weather Review,2011

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