DocumentCode
2676064
Title
Application of single drop scattering algorithms to rain related retrieval
Author
Klugmann, Dirk ; Fiser, Ondrej
Author_Institution
LISTaR GmbH, Leipzig
fYear
2007
fDate
23-28 July 2007
Firstpage
3309
Lastpage
3312
Abstract
Since many years radars are known as valuable tools to retrieve rain. Applying well established relations for different types of radar allows accessing many rain parameters. For calculating the scattering function, the flattening of rain drops constitutes a non-negligible error source. In this contribution, different algorithms are applied to calculate the scattering function or the cross section of rain drops. Their results are compared to each other. A point matching algorithm serves as reference. To this reference, results from a Mie scattering algorithm, and - for backscatter - the Rayleigh approximation and an algorithm correcting the backscatter cross section according to the Rayleigh approximation for drop flattening are compared. The findings from this inter-comparison are presented for transmitting frequencies of 10 GHz, 24 GHz and 94 GHz.
Keywords
Mie scattering; Rayleigh scattering; hydrological techniques; rain; Mie scattering algorithm; Rayleigh approximation; rain drop flattening; rain related retrieval; rain scattering function; single drop scattering algorithms; weather radar; Approximation algorithms; Backscatter; Frequency; Meteorological radar; Mie scattering; Radar cross section; Radar scattering; Radio link; Rain; Rayleigh scattering; drop flattening; radar; radio links; rain retrieval; scattering algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4423552
Filename
4423552
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