The authors propose the use of a "climate filter" concept to enhance prediction skill of a multimodel ensemble (MME) suite for the East Asian summer monsoon (EASM) precipitation and temperature at 850 hPa. The method envisages grading models on the basis of the degree of reproducibility of the association of EASM variabilitywith a few relevant climate drivers with the respectivemodel hindcasts for the period 1981-2003. The analysis identifies the previous winter Niño-3.4 and spring NorthAtlanticOscillation indices as themost suitable climate drivers in designing a climate filter for evaluatingmodels that replicate the observed teleconnections to EASM well. The results show that the hindcast skills of a new MME with the better-performing models are significantly higher than those from the nonperforming models or from an all-inclusive operational MME. © 2013 American Meteorological Society.
ASJC Scopus subject areas
- Atmospheric Science