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G

Guomin Wang

Researcher at Bureau of Meteorology

Publications -  36
Citations -  1959

Guomin Wang is an academic researcher from Bureau of Meteorology. The author has contributed to research in topics: Sea surface temperature & Madden–Julian oscillation. The author has an hindex of 16, co-authored 34 publications receiving 1480 citations.

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El Niño–Southern Oscillation complexity

Axel Timmermann, +50 more
- 26 Jul 2018 - 
TL;DR: A synopsis of the current understanding of the spatio-temporal complexity of this important climate mode and its influence on the Earth system is provided and a unifying framework that identifies the key factors for this complexity is proposed.
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Sensitivity of Australian Rainfall to Inter-El Niño Variations

TL;DR: In this paper, the authors suggest that Australian rainfall is sensitive to the zonal distribution of SST anomalies during El Nino and, in particular, the greatest sensitivity is to the SST variations on the eastern edge of the Pacific warm pool rather than in the eastern Pacific where EL Nino variations are typically largest.
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Prospects for predicting two flavors of El Niño

TL;DR: In this paper, the authors explored the ability to predict the differences in pattern of anomalous ocean temperatures for two prominent types of El Nino, traditional cold tongue events that have maximum surface warming in the eastern Pacific, and warm pool events that had maximum surface heating in the central Pacific.
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Compounding tropical and stratospheric forcing of the record low Antarctic sea-ice in 2016

TL;DR: Antarctic sea ice extent declined dramatically in austral spring 2016 and was initially driven by tropical convection resulting in a wave-3 circulation pattern, followed by weakened circumpolar surface westerlies initialised in the polar stratospheric vortex.
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The impact of atmospheric initialisation on seasonal prediction of tropical Pacific SST

TL;DR: In this paper, the authors explored the impact of realistic atmospheric initialisation on the seasonal prediction of tropical Pacific sea surface temperatures with the Predictive Ocean-Atmosphere Model for Australia (POAMA) dynamical seasonal forecast system.