Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean Peninsula
Rainfall events are known to be driven by various synoptic disturbances or dominant processes in the atmosphere. In spite of the diverse atmospheric contributions, the assumption of homogeneity is commonly adopted when a hydrological frequency analysis is conducted. This study examines how the domin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/12/4/1214 |
| _version_ | 1797569773426442240 |
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| author | Angelika L. Alcantara Kuk-Hyun Ahn |
| author_facet | Angelika L. Alcantara Kuk-Hyun Ahn |
| author_sort | Angelika L. Alcantara |
| collection | DOAJ |
| description | Rainfall events are known to be driven by various synoptic disturbances or dominant processes in the atmosphere. In spite of the diverse atmospheric contributions, the assumption of homogeneity is commonly adopted when a hydrological frequency analysis is conducted. This study examines how the dominant processes, particularly the landfalling tropical cyclones (TCs) and non-TC events, have various effects to the characteristics of rainfall in South Korea. With rainfall data from the fifty-nine weather stations spread across the country, the multiple contributions of the TC and non-TC rainfall to the relative amount of rainfall, duration, intensity and maximum rainfall, on a seasonal and monthly scale, are first explored in this study. For the second objective, suitable probability distributions for the TC and non-TC time series are identified potentially for a synthetic analysis. Our results indicate that TCs cause a heterogeneous spatial distribution in the rainfall characteristics over the gauge networks particularly in the southern and eastern coastal areas. Some gauges in these areas attribute a significant portion of their amount and annual maximum rainfall to landfalling TCs. The results also show that the Pearson Type III distribution best represents the non-TC wet-day series, while the TC wet-day series can be represented by various distributions including the Weibull and Gamma distributions. From the analysis, we present how the characteristics of TCs differ from non-TCs with the emphasis on the need to consider their individual effects when conducting synthetic analyses. |
| first_indexed | 2024-03-10T20:15:24Z |
| format | Article |
| id | doaj.art-5935cd316fe34cfdb454f104c8001a03 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T20:15:24Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-5935cd316fe34cfdb454f104c8001a032023-11-19T22:34:23ZengMDPI AGWater2073-44412020-04-01124121410.3390/w12041214Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean PeninsulaAngelika L. Alcantara0Kuk-Hyun Ahn1Department of Civil and Environmental Engineering, Kongju National University, Cheon-an 31080, KoreaDepartment of Civil and Environmental Engineering, Kongju National University, Cheon-an 31080, KoreaRainfall events are known to be driven by various synoptic disturbances or dominant processes in the atmosphere. In spite of the diverse atmospheric contributions, the assumption of homogeneity is commonly adopted when a hydrological frequency analysis is conducted. This study examines how the dominant processes, particularly the landfalling tropical cyclones (TCs) and non-TC events, have various effects to the characteristics of rainfall in South Korea. With rainfall data from the fifty-nine weather stations spread across the country, the multiple contributions of the TC and non-TC rainfall to the relative amount of rainfall, duration, intensity and maximum rainfall, on a seasonal and monthly scale, are first explored in this study. For the second objective, suitable probability distributions for the TC and non-TC time series are identified potentially for a synthetic analysis. Our results indicate that TCs cause a heterogeneous spatial distribution in the rainfall characteristics over the gauge networks particularly in the southern and eastern coastal areas. Some gauges in these areas attribute a significant portion of their amount and annual maximum rainfall to landfalling TCs. The results also show that the Pearson Type III distribution best represents the non-TC wet-day series, while the TC wet-day series can be represented by various distributions including the Weibull and Gamma distributions. From the analysis, we present how the characteristics of TCs differ from non-TCs with the emphasis on the need to consider their individual effects when conducting synthetic analyses.https://www.mdpi.com/2073-4441/12/4/1214tropical cyclonesrainfallcontribution analysisSouth Korea |
| spellingShingle | Angelika L. Alcantara Kuk-Hyun Ahn Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean Peninsula Water tropical cyclones rainfall contribution analysis South Korea |
| title | Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean Peninsula |
| title_full | Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean Peninsula |
| title_fullStr | Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean Peninsula |
| title_full_unstemmed | Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean Peninsula |
| title_short | Probability Distribution and Characterization of Daily Precipitation Related to Tropical Cyclones over the Korean Peninsula |
| title_sort | probability distribution and characterization of daily precipitation related to tropical cyclones over the korean peninsula |
| topic | tropical cyclones rainfall contribution analysis South Korea |
| url | https://www.mdpi.com/2073-4441/12/4/1214 |
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