The variability of the north Australian wet season is examined by performing cluster analysis on the wind and thermodynamic information contained in the 2300 UTC radiosonde data at Darwin for 49 wet seasons (September–April) from 1957/58 to 2005/06. Five objectively derived regimes of the wet season are obtained and are found to differ significantly in their synoptic environment, cloud patterns...

A cluster analysis approach is employed to compare Atmospheric Radiation Measurement (ARM) program observational data at the Southern Great Plains (SGP) site with the corresponding output from an integration of the Community Climate System Model (CCSM3) run under the IPCC SRES A2 business as usual scenario for the current decade. A parallel clustering algorithm developed at Oak Ridge National L...

[1] Dual-Doppler and polarimetric radar observations are used to analyze two mesoscale convective systems (MCSs) that occurred during the Tropical Rainfall Measuring Mission Large-Scale Biosphere-Atmosphere field campaign. The MCSs formed in different meteorological regimes, based on profiles of atmospheric wind and thermodynamic data. The first MCS event (26 January 1999) was a squall line tha...

Abstract. Wind lidars are widespread and important tools in atmospheric observations. An intrinsic part of lidar measurement error is due to variability the remote-sensing scan volume. This study describes quantifies distribution turbulence varying stability. While model general, we demonstrate approach using large ensembles virtual WindCube V2 performing a profiling Doppler-beam-swinging quasi...