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Characteristics of the CMIP3 Models Simulating Realistic Response of Tropical Western Pacific Precipitation to Ninno3 SST Variability

Authors :
Tomoaki Ose
Osamu Arakawa
Source :
Journal of the Meteorological Society of Japan. Ser. II. 87:807-819
Publication Year :
2009
Publisher :
Meteorological Society of Japan, 2009.

Abstract

The 20th century simulations from the World Climate Research Programme’s Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset are examined statistically using numerical skills to capture the characteristics of the models which realistically simulate responses of the tropical western Pacific (TWP) precipitation to sea surface temperature (SST) variability over the Nino3 region [150°-90°W, 5°S-5°N].The simultaneous correlation of precipitation anomaly over the TWP region of [90°-170°E, 20°S-20°N] with Nino3 SST variability is successfully reproduced with relatively high skills for June to August (JJA) as compared with those for December to February (DJF) and March to May. The high skill models have common characteristics of realistically simulating the observed largest precipitation response to Nino3 SST variability over the equatorial central Pacific east of the dateline. Furthermore, the realistic simulation of the climatological mean equatorial precipitation west of the dateline seems to be responsible for the realistic response of the TWP precipitation to Nino3 SST variability.A few of the models successfully simulate the delayed response of the JJA precipitation over the TWP region of [90°-170°E, 10°S-30°N] to the preceding DJF Nino3 SST variability with high skills. Those models reproduce the statistically observed features of subtropical northwestern Pacific SST anomaly, precipitation and SST anomalies over the Indian Ocean in JJA following DJF Nino3 SST variability. Another distinctive characteristic of those models is to reproduce almost null correlation of the equatorial central Pacific SST anomaly in JJA with the preceding DJF season Nino3 SST variability.

Details

ISSN :
21869057 and 00261165
Volume :
87
Database :
OpenAIRE
Journal :
Journal of the Meteorological Society of Japan. Ser. II
Accession number :
edsair.doi...........7b66f92de9b1ac282b9898f564b51dc6
Full Text :
https://doi.org/10.2151/jmsj.87.807