What is it about?
This disdrometer analysis method provides a method of comparing disdrometer derived DSD data with other DSD data, such as NWS radar reflectivity. Instead of reducing radar data to a single spatial point corresponding to the disdrometer location, the disdrometer data is extrapolated throughout the surrounding space for comparison with other data such as radar reflectivity.
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Why is it important?
A disdrometer provides important insight into the nature of the drop size distribution (DSD). However a fundamental problem exists - the disdrometer is a single point measurement, while the DSD is intrinsically a spatial and temporal function of drop size. This analysis approach is a step towards filling this spatial disparity gap.
Perspectives
Previously a DSD interpolation/extrapolation method was developed using three or more disdrometers. The results from that method are superior to the single disdrometer method described in this paper. A single disdrometer method is very important since that is a far more common situation than the disdrometer array case.
Dr John E Lane
NASA
Read the Original
This page is a summary of: Spatial and Temporal Extrapolation of Disdrometer Size Distributions Based on a Lagrangian Trajectory Model of Falling Rain, The Open Atmospheric Science Journal, June 2009, Bentham Science Publishers,
DOI: 10.2174/1874282300903010172.
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