Unknown

Dataset Information

Madden-Julian Oscillation prediction skill of a new-generation global model demonstrated using a supercomputer.


ABSTRACT: Global cloud/cloud system-resolving models are perceived to perform well in the prediction of the Madden-Julian Oscillation (MJO), a huge eastward -propagating atmospheric pulse that dominates intraseasonal variation of the tropics and affects the entire globe. However, owing to model complexity, detailed analysis is limited by computational power. Here we carry out a simulation series using a recently developed supercomputer, which enables the statistical evaluation of the MJO prediction skill of a costly new-generation model in a manner similar to operational forecast models. We estimate the current MJO predictability of the model as 27 days by conducting simulations including all winter MJO cases identified during 2003-2012. The simulated precipitation patterns associated with different

SUBMITTER: Miyakawa T 

PROVIDER: S-EPMC4024761 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature