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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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-06, Vol.14 (12), p.2781
Main Authors: Xie, Yuchen, Weng, Fuzhong
Format: Article
Language:English
Subjects:
Algorithms
Antennas
ATMS
Backus–Gilbert inversion
Climate studies
Error reduction
filter algorithm
Fourier transforms
Noise reduction
Normal distribution
Remote sensing
Resampling
Satellite observation
Temperature
Viewing
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Summary: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.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14122781