Radar-Derived Characteristics of Precipitation in South East Queensland

Journal Article · Thu Oct 01 00:00:00 EDT 2015 · Journal of Applied Meteorology and Climatology

DOI:https://doi.org/10.1175/JAMC-D-13-0347.1· OSTI ID:1237943

Peter, Justin R; May, Peter T; Potts, Rodney J; Collis, Scott M.; Manton, Michael J; Wilson, Louise

Statistics of radar-retrievals of precipitation are presented. A K-means clustering algorithm is applied to an historical record of radiosonde measurements which identified three major synoptic regimes; a dry, stable regime with mainly westerly winds prevalent during winter, a moist south easterly trade wind regime and a moist northerly regime both prevalent during summer. These are referred to as westerly, trade wind and northerly regimes, respectively. Cell statistics are calculated using an objective cell identification and tracking methodology on data obtained from a nearby S-band radar. Cell statistics are investigated for the entire radar observational period and also during sub-periods corresponding to the three major synoptic regimes. The statistics investigated are cell initiation location, area, rainrate, volume, height, height of the maximum reflectivity, volume greater than 40 dBZ and storm speed and direction. Cells are found predominantly along the elevated topography. The cell statistics reveal that storms which form in the dry, stable westerly regime are of comparable size to the deep cells which form in the northerly regime, larger than those in the trade regime and, furthermore, have the largest rainrate. However, they occur less frequently and have shorter lifetimes than cells in the other regimes. Diurnal statistics of precipitation area and rainrate exhibit early morning and mid afternoon peaks, although the areal coverage lags the rainrate by several hours indicative of a transition from convective to stratiform precipitation. The probability distributions of cell area, rainrate, volume, height and height of the maximum re ectivity are found to follow lognormal distributions.

• Research Organization: Argonne National Lab. (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE Office of Science - Office of Biological and Environmental Research
• DOE Contract Number: AC02-06CH11357
• OSTI ID: 1237943
• Journal Information: Journal of Applied Meteorology and Climatology, Vol. 54, Issue 10; ISSN 1558-8424
• Publisher: American Meteorological Society
• Country of Publication: United States
• Language: English