What is it about?
The paper explains a method to separate convective and stratiform rainfall without using explicit reflectivity thresholds. The method uses size and the variation of rain intensity in horizontal to determine the type of rainfall. The key message of this paper is that the reflectivity thresholds are not an effective distinguishing feature of the rainfall type. The horizontal scale and structure of the rainfall alone can be used to separate convective and stratiform rainfall. Also, the intermediate/mix/transition type is a third category having distinct DSD characteristics on the ground and equally distinct structure in radar images.
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Why is it important?
The radar rainfall requires to be classified into convective and stratiform types for estimating rainfall accurately and to study the storm dynamics. The reflectivity threshold methods do not work well between the 30-40 dBZ range. This method classifies the radar rainfall into three classes, convective, stratiform, and intermediate. These classes are shown to match the drop size distribution on the ground. It is also shown that the method is an improvement on the similar methodologies. The code is available in python and R programming language.
Read the Original
This page is a summary of: A Multiresolution Technique for the Classification of Precipitation Echoes in Radar Data, IEEE Transactions on Geoscience and Remote Sensing, January 2020, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/tgrs.2020.2965649.
You can read the full text:
Resources
REClass Package
Radar Echo Classification Method Using Wavelets R Package Version 1.00.
PyREClass code
Python program for Radar Echo Classification Method Using Wavelets Version 1.00.
A Multiresolution Technique for the Classification of Precipitation Echoes in Radar Data
A Multiresolution Technique for the Classification of Precipitation Echoes in Radar Data
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