期刊
JOURNAL OF CLIMATE
卷 34, 期 6, 页码 2093-2106出版社
AMER METEOROLOGICAL SOC
DOI: 10.1175/JCLI-D-20-0376.1
关键词
Atmosphere; Atlantic Ocean; Rainfall; Tropical cyclones; Satellite observations
资金
- Korea Meteorological Administration Research and Development Program [KMI2020-00610]
- National Research Foundation of the South Korean government [2020R1A4A3079510, 2020R1C1C1014321]
- Korea Meteorological Institute (KMI) [KMI2020-00610] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [2020R1A4A3079510, 2020R1C1C1014321] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
The study found that the inner-core rainfall strength of Atlantic tropical cyclones is mainly influenced by the inherent primary circulation of the cyclones and less affected by large-scale environmental conditions, while the total rainfall area is primarily influenced by large-scale low and high pressure systems, partially influenced by environmental flows, sea surface temperature, humidity, and maximum wind speed.
Understanding the mechanisms related to the variations in the rainfall structure of tropical cyclones (TCs) is crucial in improving forecasting systems of TC rainfall and its impact. Using satellite precipitation and reanalysis data, we examined the influence of along-track large-scale environmental conditions on inner-core rainfall strength (RS) and total rainfall area (RA) for Atlantic TCs during the TC season (July-November) from 1998 to 2019. Factor analysis revealed three major factors associated with variations in RS and RA: large-scale low and high pressure systems [factor 1 (F1)]; environmental flows, sea surface temperature, and humidity [factor 2 (F2)]; and maximum wind speed of TCs [factor 3 (F3)]. Results from our study indicate that RS increases with an increase in the inherent primary circulation of TCs (i.e., F3) but is less affected by large-scale environmental conditions (i.e., F1 and F2), whereas RA is primarily influenced by large-scale low and high pressure systems (i.e., F1) over the entire North Atlantic and partially influenced by environmental flows, sea surface temperature, humidity, and maximum wind speed (i.e., F2 and F3). A multivariable regression model based on the three factors accounted for the variations of RS and RA across the entire basin. In addition, regional distributions of mean RS and RA from the model significantly resembled those from observations. Therefore, our study suggests that large-scale environmental conditions over the North Atlantic Ocean are important predictors for TC rainfall forecasts, particularly with regard to RA.
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