Abstract
Analysis tools of three-dimensional weather radar data (ANT3D) was originally developed at the National Research Institute for Earth Science and Disaster prevention (NIED) to retrieve three-dimensional (3D) precipitation and wind fields for convective storms. In 2013, Kagoshima University significantly revised ANT3D for analyses of volcanic eruption clouds, mainly to improve the temporal and spatial interpolation of radar data and estimation of the advection vector, which is required for temporal interpolation. Detailed information pertaining to these algorithms is listed as additional information in this paper.•Procedures necessary for the construction of three-dimensional (3D) volcanic cloud weather radar data are described.•An algorithm based on temporal and elevation angle interpolation methods was used to create 3D constant altitude plan position indicator (3D CAPPI) data with high temporal and spatial resolution.•Two programs (ANT3D_GUI and the CAPPI viewer) are provided for readers interested in analyzing volcanic eruption cloud radar data.
Highlights
Weather radar data are useful for monitoring volcanic eruption clouds [1,2,3,4], Both research radars and operational weather radars, which are used for measuring rainfall, can be used for detection and ranging of volcanic ash falls
The X-band polarimetric radar used in the present study, which is located approximately 11 km from the active Sakurajima volcano, has been collecting eruption cloud data since 2012
The radar can monitor volcanic eruption clouds spreading across a wide area and provides useful information regarding the eruption cloud structure, difficulties concerning radar measurements of such clouds include low temporal and spatial resolution, especially in the vertical direction, which are unsuitable for three-dimensional measurements of rapidly developing eruption clouds
Summary
Weather radar data are useful for monitoring volcanic eruption clouds [1,2,3,4], Both research radars and operational weather radars, which are used for measuring rainfall, can be used for detection and ranging of volcanic ash falls. We show that the vertical wind profile can be estimated from advection vectors of a volcanic eruption cloud on PPI at different elevation angles.
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