- Title
- The Development and assessment of a model-, grid-, and basin-independent tropical cyclone detection scheme
- Creator
- Tory, Kevin; Chand, Savin; Dare, Richard; McBride, John
- Date
- 2013
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/169007
- Identifier
- vital:13915
- Identifier
- ISBN:0894-8755
- Abstract
- A novel approach to tropical cyclone (TC) detection in coarse-resolution numerical model data is introduced and assessed. This approach differs from traditional detectors in two main ways. First, it was developed and tuned using 20 yr of ECMWF Interim Re-Analysis (ERA-Interim) data, rather than using climate model data. This ensures that the detector is independent of any climate models to which it will later be applied. Second, only relatively large-scale parameters resolvable in climate models are included, in order to minimize any grid-resolution dependence on parameter thresholds. This approach is taken in an attempt to construct a unified TC detection procedure applicable to all climate models without the need for any further tuning or adjustment. Unlike traditional detectors that seek to identify TCs directly, the authors' method seeks to identify conditions favorable for TC formation. Favorable TC formation regions at the center of closed circulations in the lower troposphere to the midtroposphere are identified using a low-deformation vorticity parameter. Additional relative and specific humidity thresholds are applied to ensure the thermodynamic environment is favorable, and a vertical wind shear threshold is applied to eliminate storms in a destructive shear environment. A further requirement is that thresholds for all parameters must be satisfied for at least 48 h before a TC is deemed to have developed. A thorough assessment of the detector performance is provided. It is demonstrated that the method reproduces realistic TC genesis frequency and spatial distributions in the ERA-Interim data. Application of the detector to four climate models is presented in a companion paper. [ABSTRACT FROM AUTHOR] Copyright of Journal of Climate is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Publisher
- American Meteorological Society
- Relation
- Journal of Climate Vol. 26, no. 15 (2013), p. 5493-5507
- Rights
- Copyright American Meteorological Society
- Rights
- This metadata is freely available under a CCO license
- Subject
- Atmospheric models; Climatology; Tropical cyclones; Cyclone forecasting; Parameters (Statistics); Climate models; Hurricanes; 0401 Atmospheric Sciences; 0405 Oceanography
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