Intercomparison of Resampling Algorithms for Advanced Technology Microwave Sounder (ATMS)
The observations from satellite microwave-sounding instruments have been widely used in weather and climate studies. Since the data resolution varies with frequency and satellite viewing angle, it is normally required that the measurements at each frequency be resampled to obtain a uniform resolutio...
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          | Published in | Remote sensing (Basel, Switzerland) Vol. 14; no. 12; p. 2781 | 
|---|---|
| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
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          MDPI AG
    
        01.06.2022
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 2072-4292 2072-4292  | 
| DOI | 10.3390/rs14122781 | 
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| Abstract | The observations from satellite microwave-sounding instruments have been widely used in weather and climate studies. Since the data resolution varies with frequency and satellite viewing angle, it is normally required that the measurements at each frequency be resampled to obtain a uniform resolution prior to various applications. In this study, the ATOVS and AVHRR pre-processing package (AAPP) Fourier transform algorithm is modified for ATMS data and the results are compared with those derived from Backus–Gilbert inversion (BGI) and the original AAPP. From the simulated and observed ATMS data, we demonstrated the new algorithm has better results in terms of imaging quality and noise suppression, compared with BGI and AAPP. In general, our modified AAPP algorithm reduces the error by at least about 0.5 K in ATMS channels 2 and 6 and at all the viewing angles. | 
    
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| AbstractList | The observations from satellite microwave-sounding instruments have been widely used in weather and climate studies. Since the data resolution varies with frequency and satellite viewing angle, it is normally required that the measurements at each frequency be resampled to obtain a uniform resolution prior to various applications. In this study, the ATOVS and AVHRR pre-processing package (AAPP) Fourier transform algorithm is modified for ATMS data and the results are compared with those derived from Backus–Gilbert inversion (BGI) and the original AAPP. From the simulated and observed ATMS data, we demonstrated the new algorithm has better results in terms of imaging quality and noise suppression, compared with BGI and AAPP. In general, our modified AAPP algorithm reduces the error by at least about 0.5 K in ATMS channels 2 and 6 and at all the viewing angles. | 
    
| Author | Xie, Yuchen Weng, Fuzhong  | 
    
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| Copyright | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. | 
    
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| SubjectTerms | Algorithms Antennas ATMS Backus–Gilbert inversion climate Climate studies Error reduction filter algorithm Fourier transforms Noise reduction Normal distribution Remote sensing Resampling Satellite observation satellites Temperature Viewing weather  | 
    
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| Title | Intercomparison of Resampling Algorithms for Advanced Technology Microwave Sounder (ATMS) | 
    
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