Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/1829
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hong, Liang | - |
dc.contributor.author | Jones, Linwood W. | - |
dc.contributor.author | Wilheit, Thomas T. | - |
dc.contributor.author | Kasparis, Takis | - |
dc.date.accessioned | 2010-02-18T06:51:00Z | en |
dc.date.accessioned | 2013-05-17T05:21:53Z | - |
dc.date.accessioned | 2015-12-02T09:48:39Z | - |
dc.date.available | 2010-02-18T06:51:00Z | en |
dc.date.available | 2013-05-17T05:21:53Z | - |
dc.date.available | 2015-12-02T09:48:39Z | - |
dc.date.issued | 2009-03-31 | - |
dc.identifier.citation | Journal of the Meteorological Society of Japan, vol. 87A, pp. 223-235 | en_US |
dc.identifier.issn | 21869057 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/1829 | - |
dc.description.abstract | This 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.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Journal of the Meteorological Society of Japan | en_US |
dc.rights | © 2009 Meteorological Society of Japan | en_US |
dc.subject | Radiometers | en_US |
dc.subject | Radiometer | en_US |
dc.subject | Salinity SSS | en_US |
dc.title | Two Approaches for Inter-Satellite Radiometer Calibrations between TMI and WindSat | en_US |
dc.type | Article | en_US |
dc.collaboration | University of Central Florida | en_US |
dc.collaboration | Brazos Earth System Science | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | United States | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.2151/jmsj.87A.223 | en_US |
dc.dept.handle | 123456789/54 | en |
dc.relation.volume | 87A | en_US |
cut.common.academicyear | 2008-2009 | en_US |
dc.identifier.spage | 223 | en_US |
dc.identifier.epage | 235 | en_US |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | article | - |
item.fulltext | With Fulltext | - |
crisitem.journal.journalissn | 2186-9057 | - |
crisitem.journal.publisher | Meteorological Society of Japan | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-3486-538x | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
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87A_223.pdf | Fulltext | 1.74 MB | Adobe PDF | View/Open |
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