Case Study of an Unusually Heavy Rain Event over Eastern Taiwan during the Mei-Yu Season

Yeh, Hsi-Chyi; Chen, George Tai-Jen

doi:10.1175/1520-0493(2004)132<0320:csoauh>2.0.co;2

Cited by 13 publications

(11 citation statements)

References 34 publications

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“…And the effect of the latent heating plays an important role in development and maintenance of a MFC over the open ocean before it approaches the western coast of southern Taiwan. As analyzed by a previous study (Yeh and Chen 2004), latent heating has been suggested to be responsible for the development of a surface frontal cyclone in the western flank of a Mei-yu frontal system over the nearby ocean in the east of Taiwan.…”

Section: Prediction Of a Mei-yu Frontal Cyclonementioning

confidence: 90%

“…Most of the heavy rainfall during TAMEX are related to the passage of Mei-yu frontal systems (Chen et al 1989;Chen and Hui 1990;Trier et al 1990;Ray et al 1991;Li et al 1997;Yeh and Chen 1998;, orographic effects (Chen 1992;Li et al 1997;, and local circulations (Johnson and Bresch 1991;Yeh and Chen 2004). Also, the trough, divergence and cold-core low in the upper level are important forcing to collocate with the low-level forcing and to produce heavy rain over Taiwan (Chen and Li 1995;Li et al 1997;Yeh and Chen 1998).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, mesoscale convective systems, such as squall lines Wang et al 1990;Chen 1991;Tao et al 1991) and rainbands (Li et al 1997) embedded in frontal systems, frequently developed over the Taiwan Strait and produced heavy rainfall over Taiwan as they moved inland. In contrast to western Taiwan, a climatologically unusual case of heavy rain events (> 300 mm day -1 ) observed in northeastern Taiwan on 28 May 2001 has been studied by Yeh and Chen (2004) using the National Aeronautics and Space Administration's (NASA) Quick Scatterometer (QuikSCAT) ocean surface winds. The retrogression of a Mei-yu front over the nearby ocean of eastern Taiwan collocated with a short-wave trough in upper levels provide favorable large-scale conditions for the production of localized heavy rainfall.…”

Section: Introductionmentioning

confidence: 99%

“…The retrogression of a Mei-yu front over the nearby ocean of eastern Taiwan collocated with a short-wave trough in upper levels provide favorable large-scale conditions for the production of localized heavy rainfall. In addition, latent heating has been suggested to be responsible for the retrogression of the Mei-yu front and the development of a surface frontal cyclone over ocean east of Taiwan (Yeh and Chen 2004).…”

Section: Introductionmentioning

confidence: 99%

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Prediction of a Mei-yu Frontal Cyclone and the Associated Torrential Rainfall over Southern Taiwan During 2008 Mei-yu Season

Yeh¹,

Chi²

2013

Terr. Atmos. Ocean. Sci.

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A torrential rain episode (F 200 mm day -1 ) was observed over coastal regions of southern Taiwan (south of 23.0°N) on 5 June 2008 under the influence of a meso-scale frontal cyclone (MFC) formed along the western flank of a Mei-yu frontal zone. Through the incorporation of additional observations over the ocean collected during Southwest Monsoon Experiment (SoWMEX)/Terrain-influenced Monsoon Rainfall Experiment (TiMREX), the location of a Mei-yu frontal boundary, defined by the wind shift, is better identified over the open ocean by the data assimilation of dropsonde observations. Meanwhile, the low-level cyclonic vorticity and horizontal convergence are increased along the Mei-yu frontal zone, and an increment maximum center of cyclonic vorticity locates over the north of South China Sea (SCS), where the MFC subsequently forms.For the development and maintenance of a MFC over the northern SCS, the additional data assimilation, using the combination of the dropsonde and the radar radial velocity, has significantly improved the prediction of an MFC with a best track over the open ocean. Therefore, the daily rainfall distribution and amount over southern Taiwan are reproduced and significantly improved, particularly using dropsonde observations combined with the radar radial velocity.

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Section: Prediction Of a Mei-yu Frontal Cyclonementioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prediction of a Mei-yu Frontal Cyclone and the Associated Torrential Rainfall over Southern Taiwan During 2008 Mei-yu Season

Yeh¹,

Chi²

2013

Terr. Atmos. Ocean. Sci.

Self Cite

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“…On the average, the wet season starts in mid-April and ends by the end of September whereas Mei-yu front prevails from mid-May to mid-June and typhoons prevail from June to October with a large amount of rainfall. [41][42][43] The rainfall contributed over 80% (1642 mm/yr). Rainy days (117 days/yr) averaged ϳ64% from April to September from data in the Taichung weather station during 1971-2000.…”

Section: Correlation Of Pollutant Concentration Andmentioning

confidence: 99%

Seasonal Source-Receptor Relationships in a Petrochemical Industrial District over Northern Taiwan

Chiang

Chang

et al. 2005

Journal of the Air & Waste Management Association

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This study investigated the relationships between meteorological data, pollution sources, and receptors over northern Taiwan. During the intensive sampling period in summer 1992, the weather was controlled predominantly by a Pacific subtropical high and by Typhoon Mark. During the other intensive sampling period in winter 1993, while a cold frontal system approached Taiwan, the northeasterly winds prevailed most of the time. The local circulation such as land-sea breeze only developed under weak synoptic environment. Particle concentrations and element composition in winter were higher than in summer. This can be attributed to the high convection of air mass, which leads to the vertical dispersion of pollutants in summer. In addition to the subtropical high pressure, typhoons are frequently accompanied with high-wind speeds and unstable weather conditions that also dilute and eliminate the pollutants. In winter, the prevailing northeasterlies might carry pollutants from Midland China. Furthermore, the anticyclone system develops a stagnant condition that easily leads to pollutant accumulation. In this case, the wind direction affected the source contribution of the receptor and the PM 10 displays a higher correlation with coarse and fine particulate than meteorological parameters in summer. In addition, the mixing height shows a high correlation with PM 10 in winter. INTRODUCTIONCorrelations between air pollution data and meteorological records can provide very useful information for ambient air quality management. Two approaches, that is, dispersion and receptor models, have been used to estimate source contributions to atmospheric aerosols. Dispersion models include the concentration of pollutants from emission rates, meteorological data, physical and chemical transformations, and removal mechanisms. This type of model can be investigated by comparing the predicted spatial and temporal distribution of pollutant concentrations. 1,2 Alternatively, receptor modeling is a best-fit linear combination of emission sources from chemical composition profiles, which can reconstruct the aerosol measured at a receptor location. [3][4][5] Receptor modeling has been used to determine aerosol sources affecting local 6 and regional sites. 7 Source contribution determination from ambient monitoring data, obtained with receptor modeling techniques, relies on the ability to characterize and distinguish differences in the chemical composition of different

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Spatial and temporal variations in rainfall characteristics in mountainous and lowland areas in Taiwan

Kao

Kume

Komatsu

et al. 2012

Hydrological Processes

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Although changes in rainfall characteristics have been noted across the world, few studies have reported those in mountainous areas. This study was undertaken to clarify spatial and temporal variations in rainfall characteristics such as annual rainfall amount (Pr), mean daily rainfall intensity (η), and ratio of rain days (λ) in mountainous and lowland areas in Taiwan. To this aim, we examined spatial and year‐to‐year variations and marginal long‐term trends in Pr, η, and λ, based on rainfall data from 120 stations during the period 1978–2008. The period mean rainfall (truePr—) at the lowland stations had strong relationships with the period mean daily rainfall intensity (trueη¯) and the period mean ratio of rain days (trueλ¯) during those 31 years. Meanwhile, truePr— was only strongly related to trueη¯ at mountainous stations, indicating that influences on spatial variations in truePr— were different between lowland and mountainous stations. Year‐to‐year variations in Pr at each station were primarily determined from the variation in η at most stations for both lowland and mountainous stations. Long‐term trend analysis showed that Pr and η increased significantly at 10% and 31% of the total 120 stations, respectively, and λ decreased significantly at 6% of the total. The increases in Pr were mostly accompanied by increases in η. Although stations with significant η increases were slightly biased toward the western lowland area, increases or decreases in Pr and λ were not common. These results contribute to understanding the impacts of possible climate changes on terrestrial hydrological cycles. Copyright © 2012 John Wiley & Sons, Ltd.

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Case Study of an Unusually Heavy Rain Event over Eastern Taiwan during the Mei-Yu Season

Cited by 13 publications

References 34 publications

Prediction of a Mei-yu Frontal Cyclone and the Associated Torrential Rainfall over Southern Taiwan During 2008 Mei-yu Season

Prediction of a Mei-yu Frontal Cyclone and the Associated Torrential Rainfall over Southern Taiwan During 2008 Mei-yu Season

Seasonal Source-Receptor Relationships in a Petrochemical Industrial District over Northern Taiwan

Spatial and temporal variations in rainfall characteristics in mountainous and lowland areas in Taiwan

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