Zhang, Xingzhi (2019): Data for Effect of Mesoscale Oceanic Eddies on Extratropical Cyclogenesis: a Tracking Approach [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.901018, Supplement to: Zhang, Xingzhi; Ma, Xiaohui; Wu, Lixin (2019): Effect of Mesoscale Oceanic Eddies on Extratropical Cyclogenesis: a Tracking Approach. Journal of Geophysical Research: Atmospheres, 124(12), 6411-6422, https://doi.org/10.1029/2019JD030595
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Abstract:
Oceanic eddies populated in the western boundary current regions in the midlatitude, have been found to exert significant influence on atmospheric boundary layer, storm tracks as well as largescale atmospheric circulation. However, mechanisms governing how mesoscale sea surface temperature (SST) anomalies associated with oceanic eddies affect extratropical cyclogenesis remains unclear. Here, we investigate the influence of Kuroshio oceanic eddies on cyclogenesis in the North Pacific in high resolution climate model simulations using a cyclone tracking approach. Based on cyclone tracking and composite analyses, we find that presence of mesoscale SST anomalies almost doubles water vapor supply, leading to significant increase of diabatic heating release and eddy potential energy (EPE) to eddy kinetic energy (EKE) conversion and thus supporting stronger storm growth rate and intensified cyclones.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Zhang, Xingzhi | |||
| 2 | File name | File name | Zhang, Xingzhi | |||
| 3 | File format | File format | Zhang, Xingzhi | |||
| 4 | File size | File size | kByte | Zhang, Xingzhi | ||
| 5 | Uniform resource locator/link to file | URL file | Zhang, Xingzhi |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
55 data points
Data
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| Data for figure 1 | Figure1 | MAT | 1214.548 | Figure1.mat |
| Data for figure 2 | Figure2 | MAT | 72.668 | Figure2.mat |
| Data for figure 3 | Figure3 | MAT | 74.655 | Figure3.mat |
| Data for figure 4 | Figure4 | MAT | 0.376 | Figure4.mat |
| Data for figure 5 | Figure5 | MAT | 61.026 | Figure5.mat |
| Data for figure 6 | Figure6 | MAT | 84.037 | Figure6.mat |
| Data for figure 7 | Figure7 | MAT | 54.806 | Figure7.mat |
| Data for figure 8 | Figure8 | MAT | 76.081 | Figure8.mat |
| Data for figure 9 | Figure9 | MAT | 35.863 | Figure9.mat |
| Data for figure S1 | FigureS1 | MAT | 28.032 | FigureS1.mat |
| Data for figure S2 | FigureS2 | MAT | 36.231 | FigureS2.mat |