Japan Geoscience Union Meeting 2015

Presentation information

Oral

Symbol A (Atmospheric and Hydrospheric Sciences) » A-CG Complex & General

[A-CG32] Multi-scale ocean-atmosphere interaction in the tropics

Tue. May 26, 2015 4:15 PM - 6:00 PM 202 (2F)

Convener:*Hiroki Tokinaga(Disaster Prevention Research Institute/Hakubi Center, Kyoto Univesity), Takuya Hasegawa(Japan Agency for Marine-Earth Science and Technology), Ayako Seiki(Japan Agency for Marine-Earth Science and Technology), Tomoki Tozuka(Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo), Motoki Nagura(Japan Agency for Marine-Earth Science and Technology), Masamichi Ohba(Central Research Institute of Electric Power Industry (CRIEPI), Environmental Science Research Laboratory), Yukiko Imada(Atmosphere and Ocean Research Institute, the University of Tokyo), Chair:Motoki Nagura(Japan Agency for Marine-Earth Science and Technology), Yukiko Imada(Meteorological Research Institute, Japan Meteorological Agency)

5:25 PM - 5:40 PM

[ACG32-11] Ningaloo Nino simulated in the CMIP5 models

*Shoichiro KIDO1, Takahito KATAOKA1, Tomoki TOZUKA1 (1.The University of Tokyo)

Keywords:Ningaloo Nino, Coupled general circulation model, Southern Indian Ocean, El Nino/Southern Oscillation, Coastal Bjerknes feedback

Ningaloo Nino (Nina) is a recently identified climate mode characterized by anomalously warm (cool) sea surface temperature (SST) off the west coast of Australia and has strong impacts on precipitation over Western Australia and marine lives in the coastal area. Using outputs from 12 coupled general circulation models (CGCMs), which participate in the Coupled Model Intercomparison Project, phase 5 (CMIP5), ability of the models in simulating Ningaloo Nino/Nina is evaluated and causes of their differences are examined. Although many models can successfully simulate the spatial pattern and seasonality of Ningaloo Nino/Nina realistically, its amplitude varies among the models. This inter-model difference is mainly explained by varying strength of remote influences from El Nino/Southern Oscillation via oceanic wave propagation and atmospheric teleconnection. Differences in the strength of local air-sea interaction called the coastal Bjerknes feedback also contribute to the inter-model difference. This study may provide new insight into understanding processes that determine the strength of Ningaloo Nino/Nina.