Published April 2017 | Version v1
Journal article

Favorable environments for the occurrence of overshooting tops in tropical cyclones

  • 1. Nanjing University, School of Atmospheric Sciences and Key Laboratory of Mesoscale Severe Weather of Ministry of Education (China)

Description

Based on Multifunctional Transport Satellite data and the infrared window-texture detection algorithm, the level of overshooting top (OT) activity within a tropical cyclone (TC), which is defined as the hourly mean number of OT occurrence, was statistically investigated in the western North Pacific basin for the period 2005–12. Based on the level of OT activity, the samples were divided into OT and non-OT cases or high-activity-OT (HA-OT) and low-activity-OT (LA-OT) cases. The differences in large-scale environmental variables between OT (HA-OT) and non-OT (LA-OT) cases were examined 12 hours prior to the OT occurrence. Statistical analysis showed that environmental differences did exist between the OT and non-OT cases. The OTs were more skewed towards the early stage of the TC life cycle, and mostly concentrated in low latitudes. Meanwhile, a sufficiently deep warm-water layer, large temperature difference between the upper- and lower-level troposphere, large humidity at the middle and upper levels, and large atmospheric instability, were favorable for OT occurrence. The differences in large-scale environmental characteristics between HA-OTs and LA-OTs were not as significant as those between OTs and non-OTs, but the HA-OT samples tended to occur when the vertical shear was weak and the TC intensity was low. Finally, statistical models were designed to predict the OT and HA-OT. When at least three OT (HA-OT) predictor thresholds were satisfied, the Peirce skill score reached a maximum value of 0.49 (0.30).

Additional details

Identifiers

Publishing Information

Journal Title
Advances in Atmospheric Sciences (Internet)
Journal Volume
34
Journal Issue
4
Journal Page Range
p. 532-544
ISSN
1861-9533

INIS

Country of Publication
China
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54072397
Subject category
S42: ENGINEERING; S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ALGORITHMS; CYCLONES; HOT WATER; HUMIDITY; INSTABILITY; LAYERS; LIFE CYCLE; SATELLITES; SHEAR; STATISTICAL MODELS; TROPOSPHERE
Descriptors DEC
EARTH ATMOSPHERE; HYDROGEN COMPOUNDS; MATHEMATICAL LOGIC; MATHEMATICAL MODELS; MOISTURE; OXYGEN COMPOUNDS; WATER

Optional Information

Copyright
Copyright (c) 2017 Institute of Atmospheric Physics/Chinese Academy of Sciences, and Science Press and Springer-Verlag Berlin Heidelberg