Journal article

Can Regional Climate Modeling Capture the Observed Changes in Spatial Organization of Extreme Storms at Higher Temperatures?

J Li, C Wasko, F Johnson, JP Evans, A Sharma

Geophysical Research Letters | AMER GEOPHYSICAL UNION | Published : 2018

Abstract

The spatial extent and organization of extreme storm events has important practical implications for flood forecasting. Recently, conflicting evidence has been found on the observed changes of storm spatial extent with increasing temperatures. To further investigate this question, a regional climate model assessment is presented for the Greater Sydney region, in Australia. Two regional climate models were considered: the first a convection-resolving simulation at 2-km resolution, the second a resolution of 10 km with three different convection parameterizations. Both the 2- and the 10-km resolutions that used the Betts-Miller-Janjic convective scheme simulate decreasing storm spatial extent ..

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University of Melbourne Researchers

Grants

Awarded by Australian Education International, Australian Government


Funding Acknowledgements

Regional climate data have been provided by the New South Wales and Australian Capital Territory Regional Climate Model (NARCliM) project funded by the New South Wales Governmental Office of Environment and Heritage, University of New South Wales Climate Change Research Centre (CCRC), Australian Capital Territory Government Environment and Sustainable Development Directorate, and other project partners. The RCM data are available at http://climate-change.environment.nsw.gov.au/ Climate-projections-for-NSW/Download-datasets. The rainfall data can be obtained from http://www.bom.gov.au/climate/data/stations/. This work was made possible by funding from the Australian Research Council as part of DP120100338 and FT110100576. This work was supported by an award under the Merit Allocation Scheme on the NCI National Facility at the ANU. F. Johnson and J. Li were supported through ARC Discovery Project DP150100411. C. Wasko acknowledges the support of a McKenzie Postdoctoral Fellowship provided by the University of Melbourne. This research/project was undertaken with the assistance of resources and services from the National Computational Infrastructure (NCI), which is supported by the Australian Government.