Favorable environments for the occurrence of overshooting tops in tropical cyclones
Creators
- 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