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Modeling the East Asian-Western North Pacific Monsoon & ENSO

Reference
Wu, B. and Zhou, T. 2013. Relationships between the East Asian-Western North Pacific Monsoon and ENSO simulated by FGOALS-s2. Advances in Atmospheric Sciences 30: 713-725.
Authors Wu and Zhou (2013) evaluated the performance of the Flexible Global Ocean-Atmosphere-Land System model, Spectral Version 2 (FGOALS-s2) - a CGCM developed by the National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics of the Chinese Academy of Sciences - with respect to its ability to simulate the relationship between ENSO and the East Asian-western North Pacific (EA-WNP) monsoon. For according to the two researchers, "after nearly five years of effort," the original model (Wu et al., 2009) "has been improved in various facets," and they state that it was therefore necessary "to carefully assess the ENSO-monsoon relationship in the current version of the model," which is what they did in this study. And what did the assessment reveal?

Finding #1: "The model fails to simulate the asymmetry of the wintertime circulation anomalies over the WNP between El Niño and La Niña."

Finding #2: "The simulated anomalous cyclone over the WNP (WNPAC) associated with La Niña is generally symmetric about the WNPAC associated with El Niño, rather than shifted westward as that in the observation."

Finding #3: "Simulated La Niña events decay much faster than observed."

Finding #4: "Owing to biases in the mean state, the precipitation anomalies over East Asia, especially those of the Meiyu rain belt, are much weaker than that in the observation."

Given the findings listed above, it is evident that although the model has improved over its earlier version, it still suffers from a number of bothersome inadequacies.

Additional Reference
Wu, B., Zhou, T., Li, T. and Bao, Q. 2009. Inter-annual variability of the Asian-Australian monsoon and ENSO simulated by an ocean-atmosphere coupled model. Chinese Journal of Atmospheric Science 33: 285-299.

Archived 10 September 2013