An evaluation of rainfall frequency and intensity over the Australian region in a global climate model

Journal of Climate

Volumn 23, Issue 24, 2010, Pages 6504-6525

  Brown, Josephine R ^a,b   Jakob, Christian ^a   Haynes, John M ^a  

^a MONASH UNIVERSITY   (Australia)

^b Bureau of Meteorology Centre for Australian Weather and Climate Research   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AUSTRALIA; CONVECTIVE RAINFALLS; DAILY RAINFALL; FRONTAL SYSTEM; GLOBAL CLIMATE MODEL; GRID POINTS; HEAVY RAINFALL; LARGE-SCALE CIRCULATION; LARGE-SCALE DYNAMICS; MODEL SIMULATION; PARAMETERIZATIONS; PHYSICAL PROCESS; RAINFALL CHARACTERISTICS; RAINFALL EVENT; RAINFALL FREQUENCY; RAINFALL INTENSITY; SEA LEVEL PRESSURE; SUBGRID SCALE; SUMMER MONSOON; SYSTEM SIMULATOR;

CLIMATE MODELS; COMPUTER SIMULATION; CONFORMAL MAPPING; EARTH (PLANET); ERRORS; SEA LEVEL;

RAIN;

COMPUTER SIMULATION; DECOMPOSITION ANALYSIS; FREQUENCY-MAGNITUDE DISTRIBUTION; NUMERICAL MODEL; PARAMETERIZATION; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; RAINFALL;

AUSTRALIA;

EID: 79251588764     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JCLI3571.1     Document Type: Article

References (28)

1. Adler, R. F., and Coauthors, 2003: The Version 2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). J. Hydrometeor., 4, 1147-1167.
2. Alexander, L. V., P. Uotila, N. Nicholls, and A. Lynch, 2010: A new daily dataset for Australia and its application to the assessment of changes in synoptic patterns during the last century. J. Climate, 23, 1111-1126.
3. Cassano, J. J., P. Uotila, and A. H. Lynch, 2006: Changes in synoptic weather patterns in the polar regions in the 20th and 21st centuries, Part 1: Arctic. Int. J. Climatol., 26, 1027-1049.
4. Cavazos, T., 2000: Using self-organizing maps to investigate extreme climate events: An application to wintertime precipitation in the Balkans. J. Climate, 13, 1718-1732.
5. Dai, A., 2006: Precipitation characteristics in eighteen coupled climate models. J. Climate, 19, 4605-4630.
6. Hewitson, B. C., and R. G. Crane, 2002: Self-organizing maps: Applications to synoptic climatology. Climate Res., 22, 13-26.
7. Hope, P., 2006: Projected future changes in synoptic systems influencing southwest Western Australia. Climate Dyn., 26, 765-780.
8. Hope, P., W. Drosdowsky, and N. Nicholls, 2006: Shifts in the synoptic systems influencing southwest Western Australia. Climate Dyn., 26, 751-764.
9. Huffman, G. J., R. F. Adler, M. M. Morrissey, D. T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001: Global precipitation at one-degree daily resolution from multisatellite observations. J. Hydrometeor., 2, 36-50.
10. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Re-analysis Project. Bull. Amer. Meteor. Soc., 77, 437-470.
11. Kohonen, T., 2001: Self-Organizing Maps. 3rd ed. Springer, 501 pp.
12. Leloup, J. A., Z. Lachkar, J.-P. Boulanger, and S. Thiria, 2007: Detecting decadal changes in ENSO using neural networks. Climate Dyn., 28, 147-162.
13. Martin, G. M., P. M. Inness, G.-Y. Yang, B. J. Hoskins, and J. M. Slingo, 2004: Tropical performance of HadGAM1. Met Office Hadley Centre Tech. Note 51, 13 pp. [Available online at http://www.metoffice.gov.uk/publications/HCTN/HCTN_51.pdf.]
14. Meehl, G. A., C. Covey, B. McAvaney, M. Latif, and R. J. Stouffer, 2005: Overview of the Coupled Model Intercomparison Project. Bull. Amer. Meteor. Soc., 86, 89-93.
15. Nicholls, N., P. Uotila, and L. Alexander, 2009: Synoptic influences on seasonal, interannual and decadal temperature variations in Melbourne, Australia. Int. J. Climatol., 1372-1381, doi:10.1002/joc.1965.
16. Pook, M. J., P. C. McIntosh, and G. A. Meyers, 2006: The synoptic decomposition of cool-season rainfall in the southeastern Australian cropping region. J. Appl. Meteor. Climatol., 45, 1156-1170.
17. Pope, V., and Coauthors, 2007: The Met Office Hadley Centre climate modelling capability: The competing requirements for improved resolution, complexity and dealing with uncertainty. Philos. Trans. Roy. Soc. London, A365, 2635-2657, doi:10.1098/rsta.2007.2087.
18. Randall, D. A., and Coauthors, 2007: Climate models and their evaluation. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds. Cambridge University Press, 589-662.
19. Richardson, A. J., C. Risien, and F. A. Shillington, 2003: Using self-organizing maps to identify patterns in satellite imagery. Prog. Oceanogr., 59, 223-239.
20. Risbey, J. S., M. J. Pook, P. C. McIntosh, C. C. Ummenhofer, and G. Meyers, 2009: Characteristics and variability of synoptic features associated with cool season rainfall in southeastern Australia. Int. J. Climatol., 29, 1595-1613, doi:10.1002/joc. 1775.
21. Schuenemann, K. C., J. J. Cassano, and J. Finnis, 2009: Synoptic forcing of precipitation over Greenland: Climatology for 1961-99. J. Hydrometeor., 10, 60-78.
22. Sun, Y., S. Solomon, A. Dai, and R. Portmann, 2006: How often does it rain? J. Climate, 19, 916-934.
23. Taylor, K. E., D. Williamson, and F. Zwiers, 2000: The sea surface temperature and sea-ice concentration boundary conditions of AMIP II simulations. PCMDI Rep. 60, 20 pp.
24. Tennant, W., 2003: An assessment of intraseasonal variability from 13-yr GCM simulations. Mon. Wea. Rev., 131, 1975-1991.
25. Tozuka, T., J.-J. Luo, S. Masson, and T. Yamagata, 2008: Tropical Indian Ocean variability revealed by self-organizing maps. Climate Dyn., 31, 333-343.
26. Trenberth, K. E., A. Dai, R. M. Rasmussen, and D. B. Parsons, 2003: The changing character of precipitation. Bull. Amer. Meteor. Soc., 84, 1205-1217.
27. Uotila, P., A. H. Lynch, J. J. Cassano, and R. I. Cullather, 2007: Changes in Antarctic net precipitation in the 21st century basedonIntergovernmental PanelonClimate Change (IPCC) model scenarios. J. Geophys. Res., 112, D10107, doi:10.1029/2006JD007482.
28. Wilson, D. R., A. C. Bushell, A. M. Kerr-Munslow, J. D. Price, and C. J. Morcrette, 2008: PC2: A prognostic cloud fraction and condensation scheme. I: Scheme description. Quart. J. Roy. Meteor. Soc., 134, 2093-2107.