Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 11
Articles | Volume 14, issue 11
https://doi.org/10.5194/amt-14-7025-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-7025-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 11
Research article
 | 
05 Nov 2021
Research article |  | 05 Nov 2021

Are elevated moist layers a blind spot for hyperspectral infrared sounders? A model study

Marc Prange, Manfred Brath, and Stefan A. Buehler

Data sets

Supplementary data for "Are elevated moist layers a blind spot for hyperspectral infrared sounders? - a model study" M. Prange, M. Brath, and S. A. Buehler https://doi.org/10.5281/zenodo.4501184

Diverse profile datasets from the ECMWF 137-level short-range forecasts (https://nwp-saf.eumetsat.int/site/software/atmospheric-profile-data/) R. Eresmaa and A. McNally https://doi.org/10.13140/2.1.4476.8963

Model code and software

The Atmospheric Radiative Transfer Simulator, Version: 2.5.0 ARTS developers https://github.com/atmtools/arts

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Short summary
We investigate the ability of the hyperspectral infrared satellite instrument IASI to resolve moist layers in the tropical free troposphere in a model framework. Previous observational results indicated major deficiencies of passive satellite instruments in resolving moist layers around the freezing level. We conduct a first systematic hyperspectral infrared retrieval analysis of such moist layers and conclude that no inherent satellite blind spot for moist layers exists.
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