Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation

J. C. Hubbert; V. N. Bringi

Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation

J. C. Hubbert, V. N. Bringi

Earth Observing Lab

Colorado State University

Research output: Abstract › Paper › peer-review

1 Scopus citations

Abstract

The 3×3 radar polarimetric covariance matrix provides a complete set of measurements from distributed particles. Via optimum polarization theory, radar system polarization errors and particle orientation distribution parameters can be estimated. While the theory of covariance matrices and associated optimum polarizations for random media have been known for some time, the application to retrieval of microphysical information of precipitation is much more recent. Well calibrated covariance matrices and in particular the calibration of the phases of the two co-to-cross covariance terms 〈S _hhS_vh*〉 and 〈S_vvS _hv*〉 is necessary before optimum polarization analysis.

Original language	English
Pages	4456-4458
Number of pages	3
State	Published - 2003
Event	2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France Duration: Jul 21 2003 → Jul 25 2003

Conference

Conference	2003 IGARSS: Learning From Earth's Shapes and Colours
Country/Territory	France
City	Toulouse
Period	07/21/03 → 07/25/03

Cite this

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title = "Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation",

abstract = "The 3×3 radar polarimetric covariance matrix provides a complete set of measurements from distributed particles. Via optimum polarization theory, radar system polarization errors and particle orientation distribution parameters can be estimated. While the theory of covariance matrices and associated optimum polarizations for random media have been known for some time, the application to retrieval of microphysical information of precipitation is much more recent. Well calibrated covariance matrices and in particular the calibration of the phases of the two co-to-cross covariance terms 〈S hhSvh*〉 and 〈SvvS hv*〉 is necessary before optimum polarization analysis.",

author = "Hubbert, \{J. C.\} and Bringi, \{V. N.\}",

year = "2003",

language = "English",

pages = "4456--4458",

note = "2003 IGARSS: Learning From Earth's Shapes and Colours ; Conference date: 21-07-2003 Through 25-07-2003",

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TY - CONF

T1 - Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation

AU - Hubbert, J. C.

AU - Bringi, V. N.

PY - 2003

Y1 - 2003

N2 - The 3×3 radar polarimetric covariance matrix provides a complete set of measurements from distributed particles. Via optimum polarization theory, radar system polarization errors and particle orientation distribution parameters can be estimated. While the theory of covariance matrices and associated optimum polarizations for random media have been known for some time, the application to retrieval of microphysical information of precipitation is much more recent. Well calibrated covariance matrices and in particular the calibration of the phases of the two co-to-cross covariance terms 〈S hhSvh*〉 and 〈SvvS hv*〉 is necessary before optimum polarization analysis.

AB - The 3×3 radar polarimetric covariance matrix provides a complete set of measurements from distributed particles. Via optimum polarization theory, radar system polarization errors and particle orientation distribution parameters can be estimated. While the theory of covariance matrices and associated optimum polarizations for random media have been known for some time, the application to retrieval of microphysical information of precipitation is much more recent. Well calibrated covariance matrices and in particular the calibration of the phases of the two co-to-cross covariance terms 〈S hhSvh*〉 and 〈SvvS hv*〉 is necessary before optimum polarization analysis.

UR - https://www.scopus.com/pages/publications/0242709371

M3 - Paper

AN - SCOPUS:0242709371

SP - 4456

EP - 4458

T2 - 2003 IGARSS: Learning From Earth's Shapes and Colours

Y2 - 21 July 2003 through 25 July 2003

ER -

Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation

Abstract

Conference

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