Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development

The thickness of Arctic sea ice plays a critical role in Earth's climate and ocean circulation. An accurate measurement of this parameter on synoptic scales at regular intervals would enable characterization of this important component for the understanding of ocean circulation and the global h...

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Main Authors: Hussein, Ziad A., Holt, Benjamin, McDonald, Kyle C., Jordan, Rolando, Huang, John, Kuga, Yasuo, Ishimaru, Akira, Jaruwatanadilok, Sermsak, Gogineni, Prasad, Heavey, Brandon, Akins, Torry, Perovich, Don, Sturm, Matthew
Format: Report
Language:English
Published: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. 2006
Subjects:
Online Access:http://hdl.handle.net/2014/39504
id ftnasajpl:oai:trs.jpl.nasa.gov:2014/39504
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spelling ftnasajpl:oai:trs.jpl.nasa.gov:2014/39504 2023-05-15T15:05:00+02:00 Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development Hussein, Ziad A. Holt, Benjamin McDonald, Kyle C. Jordan, Rolando Huang, John Kuga, Yasuo Ishimaru, Akira Jaruwatanadilok, Sermsak Gogineni, Prasad Heavey, Brandon Akins, Torry Perovich, Don Sturm, Matthew 2006-07-13T20:44:54Z 2088208 bytes application/pdf http://hdl.handle.net/2014/39504 en_US eng Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005. Remote Sensing Conference, Bruges, Belgium, September 19, 2005. 05-2724 http://hdl.handle.net/2014/39504 sea ice remote sensing interferometer Preprint 2006 ftnasajpl 2021-12-23T13:11:51Z The thickness of Arctic sea ice plays a critical role in Earth's climate and ocean circulation. An accurate measurement of this parameter on synoptic scales at regular intervals would enable characterization of this important component for the understanding of ocean circulation and the global heat balance. Presented in this paper is a low frequency VHF interferometer technique and associated radar instrument design to measure sea ice thickness based on the use of backscatter correlation functions. The sea ice medium is represented as a multi-layered medium consisting of snow, seaice and sea water, with the interfaces between layers characterized as rough surfaces. This technique utilizes the correlation of two radar waves of different frequencies and incident and observation angles, scattered from the sea ice medium. The correlation functions relate information about the sea ice thickness. Inversion techniques such as the genetic algorithm, gradient descent, and least square methods, are used to derive sea ice thickness from the phase information related by the correlation functions. NASA/JPL Report Arctic Sea ice JPL Technical Report Server Arctic
institution Open Polar
collection JPL Technical Report Server
op_collection_id ftnasajpl
language English
topic sea ice
remote sensing
interferometer
spellingShingle sea ice
remote sensing
interferometer
Hussein, Ziad A.
Holt, Benjamin
McDonald, Kyle C.
Jordan, Rolando
Huang, John
Kuga, Yasuo
Ishimaru, Akira
Jaruwatanadilok, Sermsak
Gogineni, Prasad
Heavey, Brandon
Akins, Torry
Perovich, Don
Sturm, Matthew
Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development
topic_facet sea ice
remote sensing
interferometer
description The thickness of Arctic sea ice plays a critical role in Earth's climate and ocean circulation. An accurate measurement of this parameter on synoptic scales at regular intervals would enable characterization of this important component for the understanding of ocean circulation and the global heat balance. Presented in this paper is a low frequency VHF interferometer technique and associated radar instrument design to measure sea ice thickness based on the use of backscatter correlation functions. The sea ice medium is represented as a multi-layered medium consisting of snow, seaice and sea water, with the interfaces between layers characterized as rough surfaces. This technique utilizes the correlation of two radar waves of different frequencies and incident and observation angles, scattered from the sea ice medium. The correlation functions relate information about the sea ice thickness. Inversion techniques such as the genetic algorithm, gradient descent, and least square methods, are used to derive sea ice thickness from the phase information related by the correlation functions. NASA/JPL
format Report
author Hussein, Ziad A.
Holt, Benjamin
McDonald, Kyle C.
Jordan, Rolando
Huang, John
Kuga, Yasuo
Ishimaru, Akira
Jaruwatanadilok, Sermsak
Gogineni, Prasad
Heavey, Brandon
Akins, Torry
Perovich, Don
Sturm, Matthew
author_facet Hussein, Ziad A.
Holt, Benjamin
McDonald, Kyle C.
Jordan, Rolando
Huang, John
Kuga, Yasuo
Ishimaru, Akira
Jaruwatanadilok, Sermsak
Gogineni, Prasad
Heavey, Brandon
Akins, Torry
Perovich, Don
Sturm, Matthew
author_sort Hussein, Ziad A.
title Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development
title_short Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development
title_full Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development
title_fullStr Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development
title_full_unstemmed Remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development
title_sort remote sensing of sea ice thickness by a combined spatial and frequency domain interferometer : formulations, instrument design & development
publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005.
publishDate 2006
url http://hdl.handle.net/2014/39504
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_relation Remote Sensing Conference, Bruges, Belgium, September 19, 2005.
05-2724
http://hdl.handle.net/2014/39504
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