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Total numbers of tropical cyclone genesis events during Northern Hemisphere summer (MJJASO) of 1979-2015. The box indicates the selected 108 3 108 locations of tropical cyclone genesis for stepwise regression analysis.

Total numbers of tropical cyclone genesis events during Northern Hemisphere summer (MJJASO) of 1979-2015. The box indicates the selected 108 3 108 locations of tropical cyclone genesis for stepwise regression analysis.

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An intraseasonal genesis potential index (ISGPI) for Northern Hemisphere (NH) summer is proposed to quantify the anomalous tropical cyclone genesis (TCG) frequency induced by boreal summer intraseasonal oscillation (BSISO). The most important factor controlling NH summer TCG is found as 500-hPa vertical motion (ω500) caused by the prominent northwa...

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Context 1
... BSISO phase is separated into eight categories and each phase composite is achieved when the amplitude of BSISO index is greater than 1.0 [i.e., (PC1 2 1 PC2 2 ) 1/2 $ 1.0] following Wheeler and Hendon (2004). Comparison of the results derived from the three indices is presented in section 7. Figure 1 presents the eight-phase evolution of major convection (OLR) anomalies (shading) and TCGF anomalies (contour) by selected BSISO (OLR 08-208N ) index. The negative enhanced OLR anomalies corre- spond with increased TCGF anomalies through phases 1 to 8. ...
Context 2
... derive an ISGPI, we first enlarged the grid size from 2.58 3 2.58 to 108 3 108 grid and used TCGF anomaly at eight composite BSISO phases in order to include as many TCG samples as possible. Figure 2 displays the locations of the TCG during NH summer. The main TC occurrence is found in the latitude belt of 58-258N. ...

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... Following the GPI04, subsequent research has introduced a series of enhanced empirical indices that incorporate various environmental variables and their functional forms (Emanuel 2010;Murakami and Wang 2010;Tippett et al. 2011;McGauley and Nolan 2011;Wang and Murakami 2020). Additionally, other investigations have focused on fitting these indices to specific time scales and basins (Bruyère et al. 2012;Wang and Moon 2017;Moon et al. 2018). Both basin-dependent and global genesis indices have their own positive aspects. ...
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... Gray (1979) first proposed a genesis potential index (GPI) by constructing a function of dynamical and thermodynamical large-scale environmental parameters that are known to be important to TC formation. Several variants of GPI were subsequently developed to improve the quantitative linkage between TC genesis and large-scale environmental conditions from different perspectives (Emanuel and Nolan 2004;Emanuel 2010;Murakami and Wang 2010;Tippett et al. 2011;Menkes et al. 2011;Holland and Bruyère 2013;Zhang et al. 2016;Wang and Moon 2017;Moon et al. 2018;Wang and Murakami 2020). Among them, the GPI proposed by Emanuel and Nolan (2004;ENGPI) is one of the most popular (Camargo et al. 2007). ...
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... The boreal summer intraseasonal oscillation (BSISO), one of the most prominent variabilities in the tropical atmosphere, is usually characterized by a northeastward propagation from the Indian Ocean (IO) to the western North Pacific (WNP) (Hsu et al. 2004;Jiang et al. 2004;Kikuchi 2020). As the cornerstone of the subseasonal forecast, the BSISO has profound influences on the global weather and climate systems (Zhang 2013;Liu et al. 2022), like the monsoon onset, tropical cyclones, heat waves, extreme rainfall, surface air temperature anomalies, Pacific-Japan-like teleconnection (Naumann and Vargas 2010;Shao et al. 2014;Hsu et al. 2016Hsu et al. , 2020Moon et al. 2018;Shao et al. 2018;Wang et al. 2018a;Li et al. 2020a, b;Wang et al. 2022). Thus, enhancing the understanding of the BSISO activity is crucial for improving the subseasonal prediction and simulation capabilities of the BSISO in general circulation models (GCMs) (Lin et al. 2006;Ding et al. 2011;Kim et al. 2011;Jiang et al. 2018). ...
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The South China Sea Summer Monsoon (SCSSM) onset is characterized by an apparent seasonal conversion of circulation and convection. Accordingly, various indices have been introduced to identify the SCSSM onset date. However, the onset dates by various indices sometimes are very inconsistent. It not only limits the determination of onset dates, but also misleads the assessment of prediction skills. In 2021, the onset time identified by the circulation criteria was May 20, which is 12 days earlier than that by considering convection in addition. The present study mainly ascribed such circulation-convection inconsistency to the activities of tropical cyclones (TCs) modulated by the Madden-Julian Oscillation (MJO). The convection of TC “Yaas” released adiabatic heating in the north of the SCS in the upper level, facilitating the circulation transition. Afterward, TC “Choi-wan” over the western Pacific assisted the persistence of westerlies in the lower level, but suppressed the convection over the SCS. Accurate predictions using the ECMWF S2S forecast system were obtained only after the MJO formation. The skillful prediction of MJO during late spring may provide an opportunity to accurately predict the SCSSM establishment several weeks in advance.
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... In the subseasonal timescales, some studies have demonstrated the role of the boreal summer intraseasonal oscillation (BSISO) in modulating the rainfall variability including the rainfall extremes during the summer monsoon season over the Asian monsoon region (e.g., Kikuchi et al., 2012;Li et al., 2015;Hsu et al., 2016;Moon et al., 2018;Ren et al., 2018). Hsu et al. (2016) noted that the convective and circulation anomalies associated with the BSISO may induce changes in the local rainfall variation by altering the background conditions. ...
... Unlike the Madden-Julian Oscillation (MJO; Madden and Julian, 1971), which propagates eastward along the equator in boreal winter, the BSISO shows a more complex nature and with a dominant northward/northwestward propagation over the Indian and western North Pacific monsoon regions (e.g., Kikuchi et al., 2012;Moon et al., 2018). Kikuchi et al. (2012) developed a bimodal index that captures the eastward propagation of MJO and northward/ northwestward propagation of BSISO based on the extended empirical orthogonal function (EEOF) analysis of the bandpass filtered (25-90 days) outgoing longwave radiation (OLR). ...
... The total TC-induced extreme rainfalls days over the Visayas and Mindanao regions are both less than 24% of the total BSISO days, indicating less TC influence in these regions. Moon et al. (2018) showed that the TC genesis frequency over the western North Pacific is enhanced in these phases (see their fig. 1). ...
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This study investigates the impact of the northward/northwestward propagating 30–60‐day mode of the boreal summer intraseasonal oscillation (BSISO) on the extreme rainfall events in the Philippines during the June–September (JJAS) season from 1979 to 2018. The Philippines domain is divided into the three latitudinal regions: Luzon region (13°–22°N), Visayas region (10°–13°N), and Mindanao region (5°–10°N) to account for the regional differences in the timing of extreme rainfall events. The probability density functions of JJAS rainfall are skewed towards higher values relative to the non‐BSISO days in BSISO Phases 6–8, Phases 5–7, and Phases 4–6 over the Luzon, Visayas, and Mindanao regions, respectively, during which the probability of extreme rainfall events at the 95th percentile increases by as much as 80% in some stations in these regions. Further analyses of the large‐scale circulation features show that the increase (decrease) in the probability of extreme rainfall events is associated with enhanced moisture convergence (divergence) induced by the cyclonic (anticyclonic) circulation anomalies of the BSISO and appearance of multiple tropical cyclones. About 36% of the total extreme rainfall events over the Luzon region are associated with TCs during Phases 7–8. On the other hand, TCs contribute by no more than 24% in all phases over the Visayas and Mindanao regions, indicating less TC influence in these regions. This study is the first attempt to clarify the impact of the BSISO on the extreme rainfall events in the Philippines.