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| Titel |
All weather IASI single field-of-view retrievals: case study – validation with JAIVEx data |
| VerfasserIn |
D. K. Zhou, W. L. Smith, A. M. Larar, X. Liu, J. P. Taylor, P. Schlüssel, L. L. Strow, S. A. Mango |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 9, no. 6 ; Nr. 9, no. 6 (2009-03-27), S.2241-2255 |
| Datensatznummer |
250007107
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| Publikation (Nr.) |
 copernicus.org/acp-9-2241-2009.pdf |
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| Zusammenfassung |
| Atmospheric thermodynamic parameters, such as atmospheric
temperature and moisture profiles, cloud optical/microphysical properties,
and surface properties are basic meteorological variables for weather
forecasting. In addition, they are critical parameters in tropospheric
chemistry studies. A physical, geophysical parameter retrieval scheme
dealing with cloudy and cloud-free radiances observed with satellite
ultraspectral infrared sounders has been developed to determine
simultaneously surface, atmospheric thermodynamic, and cloud microphysical
parameters. A one-dimensional variational (1-D Var.) multivariable inverse
solution of the radiative transfer equation is used to iteratively improve a
background state defined by eigenvector regression. This algorithm has been
applied to data from the Infrared Atmospheric Sounding Interferometer (IASI)
on the EUMETSAT Metop-A satellite. The IASI retrieved parameters presented
herein are from radiance data gathered during the Joint Airborne IASI
Validation Experiment (JAIVEx). JAIVEx provided intensive aircraft
observations obtained from airborne Fourier Transform Spectrometer (FTS)
systems, such as the NPOESS Airborne Sounder Testbed – Interferometer
(NAST-I), in-situ measurements, and dedicated dropsonde and radiosonde
measurements for the validation of the IASI products. Here, IASI atmospheric
profile retrievals are compared with those obtained from dedicated
dropsondes, radiosondes, and the airborne FTS system. The IASI examples
presented here demonstrate the ability to retrieve fine-scale horizontal
features with high vertical resolution from satellite ultraspectral sounder
radiance spectra. |
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