Projections of southern hemisphere tropical cyclone track density using CMIP5 models
Autor: | Harvey Ye, Kevin J. Tory, Andrew J. Dowdy, Samuel S. Bell, Christopher Turville, Savin S. Chand |
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Rok vydání: | 2018 |
Předmět: |
Atmospheric Science
Coupled model intercomparison project 010504 meteorology & atmospheric sciences Climate change Vorticity 010502 geochemistry & geophysics 01 natural sciences Wind shear Climatology Trajectory Environmental science Climate model Tropical cyclone Southern Hemisphere 0105 earth and related environmental sciences |
Zdroj: | Climate Dynamics. 52:6065-6079 |
ISSN: | 1432-0894 0930-7575 |
DOI: | 10.1007/s00382-018-4497-4 |
Popis: | A recently validated algorithm for detecting and tracking tropical cyclones (TCs) in coarse resolution climate models was applied to a selected group of 12 models from the Coupled Model Intercomparison Project (CMIP5) to assess potential changes in TC track characteristics in the Southern Hemisphere (SH) due to greenhouse warming. Current-climate simulations over the period 1970–2000 are first evaluated against observations using measures of TC genesis location and frequency, as well as track trajectory and lifetime in seven objectively defined genesis regions. The 12-model (12-M) ensemble showed substantial skill in reproducing a realistic TC climatology over the evaluation period. To address potential biases associated with model interdependency, analyses were repeated with an ensemble of five independent models (5-M). Results from both the 12-M and 5-M ensembles were very similar, instilling confidence in the models for climate projections if the current TC-climate relationship is to remain stationary. Projected changes in TC track density between the current- and future-climate (2070–2100) simulations under the Representatives Concentration 8.5 Pathways (RCP8.5) are also assessed. Overall, projection results showed a substantial decrease (~ 1–3 per decade) in track density over most parts of the SH by the end of the twenty-first century. This decrease is attributed to a significant reduction in TC numbers (~ 15–42%) consistent with changes in large-scale environmental parameters such as relative vorticity, environmental vertical wind shear and relative humidity. This study may assist with adaption pathways and implications for regional-scale climate change for vulnerable regions in the SH. |
Databáze: | OpenAIRE |
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