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

National Center for Atmospheric Research
Colorado State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 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
Title of host publication	IGARSS 2003
Subtitle of host publication	Learning From Earth's Shapes and Sizes - 2003 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4456-4458
Number of pages	3
ISBN (Print)	0780379292
State	Published - 2003
Externally published	Yes
Event	2003 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2003 - Toulouse, France Duration: Jul 21 2003 → Jul 25 2003

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	7
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	2003 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2003
Country/Territory	France
City	Toulouse
Period	07/21/03 → 07/25/03

Cite this

Hubbert, J. C., & Bringi, V. N. (2003). Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation. In IGARSS 2003: Learning From Earth's Shapes and Sizes - 2003 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 4456-4458). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 7). Institute of Electrical and Electronics Engineers Inc..

Hubbert, J. C. ; Bringi, V. N. / Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation. IGARSS 2003: Learning From Earth's Shapes and Sizes - 2003 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 4456-4458 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{38c20a8b440140779a500063e9b5c392,

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",

isbn = "0780379292",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "4456--4458",

booktitle = "IGARSS 2003",

address = "United States",

note = "2003 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2003 ; Conference date: 21-07-2003 Through 25-07-2003",

}

Hubbert, JC & Bringi, VN 2003, Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation. in IGARSS 2003: Learning From Earth's Shapes and Sizes - 2003 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 7, Institute of Electrical and Electronics Engineers Inc., pp. 4456-4458, 2003 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2003, Toulouse, France, 07/21/03.

Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation. / Hubbert, J. C.; Bringi, V. N.
IGARSS 2003: Learning From Earth's Shapes and Sizes - 2003 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2003. p. 4456-4458 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 7).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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 - Conference contribution

AN - SCOPUS:0242709371

SN - 0780379292

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 4456

EP - 4458

BT - IGARSS 2003

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2003 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2003

Y2 - 21 July 2003 through 25 July 2003

ER -

Hubbert JC, Bringi VN. Utilization of the Radar Polarimetric Covariance Matrix for Polarization Error and Precipitation Canting Angle Estimation. In IGARSS 2003: Learning From Earth's Shapes and Sizes - 2003 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2003. p. 4456-4458. (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

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