Matrix partitioning and EOF/principal component analysis of Antarctic Sea ice brightness temperatures
A field of measured anomalies of some physical variable relative to their time averages, is partitioned in either the space domain or the time domain. Eigenvectors and corresponding principal components of the smaller dimensioned covariance matrices associated with the partitioned data sets are calc...
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ftnasantrs:oai:casi.ntrs.nasa.gov:19840019251 2023-05-15T14:05:01+02:00 Matrix partitioning and EOF/principal component analysis of Antarctic Sea ice brightness temperatures Murray, C. W., Jr. Mueller, J. L. Zwally, H. J. Unclassified, Unlimited, Publicly available Apr 1, 1984 application/pdf http://hdl.handle.net/2060/19840019251 unknown Document ID: 19840019251 Accession ID: 84N27319 http://hdl.handle.net/2060/19840019251 No Copyright CASI EARTH RESOURCES AND REMOTE SENSING NASA-TM-83916 NAS 1.15:83916 1984 ftnasantrs 2019-07-21T09:57:32Z A field of measured anomalies of some physical variable relative to their time averages, is partitioned in either the space domain or the time domain. Eigenvectors and corresponding principal components of the smaller dimensioned covariance matrices associated with the partitioned data sets are calculated independently, then joined to approximate the eigenstructure of the larger covariance matrix associated with the unpartitioned data set. The accuracy of the approximation (fraction of the total variance in the field) and the magnitudes of the largest eigenvalues from the partitioned covariance matrices together determine the number of local EOF's and principal components to be joined by any particular level. The space-time distribution of Nimbus-5 ESMR sea ice measurement is analyzed. Other/Unknown Material Antarc* Antarctic Sea ice NASA Technical Reports Server (NTRS) Antarctic |
institution |
Open Polar |
collection |
NASA Technical Reports Server (NTRS) |
op_collection_id |
ftnasantrs |
language |
unknown |
topic |
EARTH RESOURCES AND REMOTE SENSING |
spellingShingle |
EARTH RESOURCES AND REMOTE SENSING Murray, C. W., Jr. Mueller, J. L. Zwally, H. J. Matrix partitioning and EOF/principal component analysis of Antarctic Sea ice brightness temperatures |
topic_facet |
EARTH RESOURCES AND REMOTE SENSING |
description |
A field of measured anomalies of some physical variable relative to their time averages, is partitioned in either the space domain or the time domain. Eigenvectors and corresponding principal components of the smaller dimensioned covariance matrices associated with the partitioned data sets are calculated independently, then joined to approximate the eigenstructure of the larger covariance matrix associated with the unpartitioned data set. The accuracy of the approximation (fraction of the total variance in the field) and the magnitudes of the largest eigenvalues from the partitioned covariance matrices together determine the number of local EOF's and principal components to be joined by any particular level. The space-time distribution of Nimbus-5 ESMR sea ice measurement is analyzed. |
format |
Other/Unknown Material |
author |
Murray, C. W., Jr. Mueller, J. L. Zwally, H. J. |
author_facet |
Murray, C. W., Jr. Mueller, J. L. Zwally, H. J. |
author_sort |
Murray, C. W., Jr. |
title |
Matrix partitioning and EOF/principal component analysis of Antarctic Sea ice brightness temperatures |
title_short |
Matrix partitioning and EOF/principal component analysis of Antarctic Sea ice brightness temperatures |
title_full |
Matrix partitioning and EOF/principal component analysis of Antarctic Sea ice brightness temperatures |
title_fullStr |
Matrix partitioning and EOF/principal component analysis of Antarctic Sea ice brightness temperatures |
title_full_unstemmed |
Matrix partitioning and EOF/principal component analysis of Antarctic Sea ice brightness temperatures |
title_sort |
matrix partitioning and eof/principal component analysis of antarctic sea ice brightness temperatures |
publishDate |
1984 |
url |
http://hdl.handle.net/2060/19840019251 |
op_coverage |
Unclassified, Unlimited, Publicly available |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_source |
CASI |
op_relation |
Document ID: 19840019251 Accession ID: 84N27319 http://hdl.handle.net/2060/19840019251 |
op_rights |
No Copyright |
_version_ |
1766276661871902720 |