the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Characterization of merged AIRS and MLS water vapor sensitivity through integration of averaging kernels and retrievals
Abstract. In this paper, we analyze averaging kernels to assess the sensitivity of the Aqua Atmospheric Infrared Sounder (AIRS) and Aura Microwave Limb Sounder (MLS) to water vapor. The averaging kernels, in the tropical and extra-tropical upper tropospheric and lower stratospheric region of the atmosphere, indicate that AIRS is primarily sensitive to water vapor concentrations typical of tropospheric values up to a level around 260 hPa. At lower pressures AIRS retrievals lose sensitivity to water vapor, though not completely as indicated by the non-zero verticalities at pressures less than 260 hPa. The MLS is able to provide high quality retrievals, with verticalities ~1 for all pressure levels, down to the same level for where AIRS begins to lose sensitivity. Previous analyses have estimated both instruments to have overlapping sensitivity to water vapor over a half temperature scale height layer, within the upper troposphere, for concentrations between ~30–400 ppmv. Thus, we implement a method using the averaging kernel information to join the AIRS and MLS profiles into an merged set of water vapor profiles. The final combined profiles are not only smooth functions with height but preserve the atmospheric state as interpreted by both the AIRS and MLS instruments.
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RC C1296: 'Reviewer Comments', Anonymous Referee #1, 24 Aug 2010
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AC C1316: 'Response to Anonymous Referee #1', Calvin Liang, 27 Aug 2010
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AC C1316: 'Response to Anonymous Referee #1', Calvin Liang, 27 Aug 2010
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RC C1406: 'Referee comments on Liang et al', Anonymous Referee #2, 09 Sep 2010
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AC C1658: 'Response to Anonymous Referee #2', Calvin Liang, 08 Oct 2010
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AC C1658: 'Response to Anonymous Referee #2', Calvin Liang, 08 Oct 2010


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RC C1296: 'Reviewer Comments', Anonymous Referee #1, 24 Aug 2010
-
AC C1316: 'Response to Anonymous Referee #1', Calvin Liang, 27 Aug 2010
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AC C1316: 'Response to Anonymous Referee #1', Calvin Liang, 27 Aug 2010
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RC C1406: 'Referee comments on Liang et al', Anonymous Referee #2, 09 Sep 2010
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AC C1658: 'Response to Anonymous Referee #2', Calvin Liang, 08 Oct 2010
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AC C1658: 'Response to Anonymous Referee #2', Calvin Liang, 08 Oct 2010
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Cited
5 citations as recorded by crossref.
- The Application of PCRTM Physical Retrieval Methodology for IASI Cloudy Scene Analysis W. Wu et al. 10.1109/TGRS.2017.2702006
- Record of tropical interannual variability of temperature and water vapor from a combined AIRS-MLS data set C. Liang et al. 10.1029/2010JD014841
- One-dimensional variational (1D-Var) retrieval of middle to upper tropospheric humidity using AIRS radiance data H. Ishimoto et al. 10.1002/2014JD021706
- Climatology Explains Intermodel Spread in Tropical Upper Tropospheric Cloud and Relative Humidity Response to Greenhouse Warming S. Po‐Chedley et al. 10.1029/2019GL084786
- Estimating sampling biases and measurement uncertainties of AIRS/AMSU-A temperature and water vapor observations using MERRA reanalysis T. Hearty et al. 10.1002/2013JD021205