Single-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithm

DeSouza-Machado, Sergio; Strow, L. Larrabee; Tangborn, Andrew; Huang, Xianglei; Chen, Xiuhong; Liu, Xu; Wu, Wan; Yang, Qiguang

doi:https://doi.org/10.5194/amt-11-529-2018

Articles | Volume 11, issue 1

https://doi.org/10.5194/amt-11-529-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-11-529-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 1

Research article

|

25 Jan 2018

Research article |

| 25 Jan 2018

Single-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithm

Sergio DeSouza-Machado, L. Larrabee Strow, Andrew Tangborn, Xianglei Huang, Xiuhong Chen, Xu Liu, Wan Wu, and Qiguang Yang

Data sets

Dataset for AMT-2017-261 by DeSouza-Machado et al. Sergio DeSouza-Machado, L. Larrabee Strow, Andrew Tangborn, Xianglei Huang, Xiuhong Chen, Xu Liu, Wan Wu, and Qiguang Yang https://doi.org/10.5281/zenodo.1157936

Short summary

Thermodynamic fields retrieved from orbiting infrared sounders use a derived set of measurements as their starting point, rather than the actual observations. This leads to problems with noise and sampling. We have developed a fast accurate model with a simple vertical representation of clouds in the atmosphere for use in retrievals, which allows us to use all the actual low-noise measurements at full resolution. These should eventually help produce more accurate weather forecasts.