Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1829
DC FieldValueLanguage
dc.contributor.authorHong, Liang-
dc.contributor.authorJones, Linwood W.-
dc.contributor.authorWilheit, Thomas T.-
dc.contributor.authorKasparis, Takis-
dc.date.accessioned2010-02-18T06:51:00Zen
dc.date.accessioned2013-05-17T05:21:53Z-
dc.date.accessioned2015-12-02T09:48:39Z-
dc.date.available2010-02-18T06:51:00Zen
dc.date.available2013-05-17T05:21:53Z-
dc.date.available2015-12-02T09:48:39Z-
dc.date.issued2009-03-31-
dc.identifier.citationJournal of the Meteorological Society of Japan, vol. 87A, pp. 223-235en_US
dc.identifier.issn21869057-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1829-
dc.description.abstractThis paper presents recent progress in inter-satellite microwave radiometric cross-calibration to eliminate brightness temperature measurement biases between a pair of radiometer channels operating at slightly different frequencies and incidence angles. The motivation of this research is to develop robust analytical cross-calibration techniques for inter-calibration of various satellite radiometer instruments, with the first projected application being the multi-satellite Global Precipitation Measurement (GPM) constellation to be launched in 2013. The significance of this work is that it will allow the formation of consistent multi-decadal time series of geophysical measurements for multiple satellite microwave radiometers that are free of instrumental biases and other long-term changes in radiometric calibration, which will allow researchers to study global climate change. Descriptions are given for two independent calibration techniques: a Taylor series expansion of the oceanic brightness temperature (Tb) spectrum between dissimilar radiometer channels and a non-linear regression among multi-channel Tb measurements. In the first approach, predictions were made of Tb's at a destination frequency from Tb's of a close by source frequency by expansion of the oceanic brightness temperature spectrum in a Taylor series centered at the source frequency. The relationships between Tb's and frequencies were derived from simulations using a radiative transfer model (RTM), which accounts for the total collected emissions from the ocean surface and the atmosphere. Further, earth incidence angle differences between radiometer channels were transformed in a similar manner using the partial derivatives of Tb with incidence angle derived from RTM simulations. In the second approach, we used a prediction algorithm that relies on the correlation between radiometer Tb's at various frequencies and polarizations and which uses a regression on the Tb's and their non-linear transformations developed using an independent radiative transfer model. As a demonstration, near-simultaneous pair-wise ocean Tb comparisons are presented between the TRMM Microwave Imager (TMI), which is not sun synchronous, and the sun-synchronous polar orbiting WindSat, using oceanic Tb observations from 2003-04. The corresponding results between these two inter-satellite calibration techniques are highly correlated, and results demonstrate that fixed channel-by-channel differences, of order 1-2 K exist between TMI and WindSat. These are significant radiometric calibration differences, which can be removed prior to forming joint data sets of geophysical parameter retrievals.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofJournal of the Meteorological Society of Japanen_US
dc.rights© 2009 Meteorological Society of Japanen_US
dc.subjectRadiometersen_US
dc.subjectRadiometeren_US
dc.subjectSalinity SSSen_US
dc.titleTwo Approaches for Inter-Satellite Radiometer Calibrations between TMI and WindSaten_US
dc.typeArticleen_US
dc.collaborationUniversity of Central Floridaen_US
dc.collaborationBrazos Earth System Scienceen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.2151/jmsj.87A.223en_US
dc.dept.handle123456789/54en
dc.relation.volume87Aen_US
cut.common.academicyear2008-2009en_US
dc.identifier.spage223en_US
dc.identifier.epage235en_US
item.grantfulltextopen-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.fulltextWith Fulltext-
crisitem.journal.journalissn2186-9057-
crisitem.journal.publisherMeteorological Society of Japan-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-3486-538x-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Άρθρα/Articles
Files in This Item:
File Description SizeFormat
87A_223.pdfFulltext1.74 MBAdobe PDFView/Open
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

6
checked on Nov 8, 2023

WEB OF SCIENCETM
Citations 50

8
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s) 50

435
Last Week
0
Last month
2
checked on Nov 7, 2024

Download(s)

161
checked on Nov 7, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons