scholarly journals How Does Shifting Pacific Ocean Warming Modulate on Tropical Cyclone Frequency over the South China Sea?

2011 ◽  
Vol 24 (17) ◽  
pp. 4695-4700 ◽  
Author(s):  
Guanghua Chen

The different modulation of El Niño Modoki and canonical El Niño events on tropical cyclone (TC) frequency over the South China Sea (SCS) during boreal summer and fall for 1960–2009 is investigated. The bootstrap resampling method and two-sample permutation procedure are applied to simulate sampling distributions and conduct statistical tests, respectively. Results from the hypothesis testing indicate that the above-normal TC frequency over the SCS occurs during June–August (JJA) for the El Niño Modoki years, whereas the below-normal TC frequency is significant during September–November (SON) for the canonical El Niño years. The remarkably opposite modulations can be attributed to the different large-scale circulation anomalies, which are consistent with Matsuno–Gill-type responses to the tropical heating source/sink over the western North Pacific (WNP) and Maritime Continent for two kinds of Pacific Ocean warming events. In response to a broad-scale convection anomaly over the WNP during JJA for El Niño Modoki, a zonally elongated cyclonic anomaly dominates the WNP and SCS, leading to enhanced TC activity. In contrast, during SON for the canonical El Niño, a markedly strengthened cooling source centered in the Maritime Continent induces an anticyclonic anomaly over the SCS, resulting in suppressed TC activity.

Coral Reefs ◽  
2018 ◽  
Vol 37 (1) ◽  
pp. 295-308 ◽  
Author(s):  
Xijie Wang ◽  
Wenfeng Deng ◽  
Xi Liu ◽  
Gangjian Wei ◽  
Xuefei Chen ◽  
...  

2012 ◽  
Vol 12 (4) ◽  
pp. 2117-2147 ◽  
Author(s):  
J. S. Reid ◽  
P. Xian ◽  
E. J. Hyer ◽  
M. K. Flatau ◽  
E. M. Ramirez ◽  
...  

Abstract. Much research and speculation exists about the meteorological and climatological impacts of biomass burning in the Maritime Continent (MC) of Indonesia and Malaysia, particularly during El Nino events. However, the MC hosts some of the world's most complicated meteorology, and we wish to understand how tropical phenomena at a range of scales influence observed burning activity. Using Moderate Resolution Imaging Spectroradiometer (MODIS) derived active fire hotspot patterns coupled with aerosol data assimilation products, satellite based precipitation, and meteorological indices, the meteorological context of observed fire prevalence and smoke optical depth in the MC are examined. Relationships of burning and smoke transport to such meteorological and climatic factors as the interannual El Nino-Southern Oscillation (ENSO), El Nino Modoki, Indian Ocean Dipole (IOD), the seasonal migration of the Intertropical Convergence Zone, the 30–90 day Madden Julian Oscillation (MJO), tropical waves, tropical cyclone activity, and diurnal convection were investigated. A conceptual model of how all of the differing meteorological scales affect fire activity is presented. Each island and its internal geography have different sensitivities to these factors which are likely relatable to precipitation patterns and land use practices. At the broadest scales as previously reported, we corroborate ENSO is indeed the largest factor. However, burning is also enhanced by periods of El Nino Modoki. Conversely, IOD influences are unclear. While interannual phenomena correlate to total seasonal burning, the MJO largely controls when visible burning occurs. High frequency phenomena which are poorly constrained in models such as diurnal convection and tropical cyclone activity also have an impact which cannot be ignored. Finally, we emphasize that these phenomena not only influence burning, but also the observability of burning, further complicating our ability to assign reasonable emissions.


2013 ◽  
Vol 423 ◽  
pp. 012043 ◽  
Author(s):  
Wayan Suparta ◽  
Ahmad Iskandar ◽  
Mandeep Singh Jit Singh ◽  
Mohd Alauddin Mohd Ali ◽  
Baharudin Yatim ◽  
...  

1996 ◽  
Vol 38 (1) ◽  
pp. 51-93 ◽  
Author(s):  
Shenn-Yu Chao ◽  
Ping-Tung Shaw ◽  
Sunny Y. Wu

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