Preprints
https://doi.org/10.5194/amt-2020-518
https://doi.org/10.5194/amt-2020-518

  16 Mar 2021

16 Mar 2021

Review status: this preprint is currently under review for the journal AMT.

An observing system simulation experiment (OSSE)-based assessment of the retrieval of above-cloud temperature and water vapor using hyperspectral infrared sounder

Jing Feng1, Yi Huang1, and Zhipeng Qu1,2 Jing Feng et al.
  • 1Department of Atmospheric and Oceanic Sciences, McGill University
  • 2Observations-Based Research Section, Environment and Climate Change Canada

Abstract. Measuring atmospheric conditions above convective storms is challenging. This study finds that the uncertainties in cloud properties near the top of deep convective clouds have a non-negligible impact on the TOA infrared radiances which cannot be fully eliminated by adopting a slab-cloud assumption. To overcome this issue, a synergetic retrieval method is developed. This method integrates the infrared hyperspectral observations with cloud measurements from active sensors to retrieve atmospheric temperature, water vapor, and cloud properties simultaneously. Using an observation system simulation experiment (OSSE), we found that the retrieval method is capable of detecting the spatial distribution of temperature and humidity anomalies above convective storms and reducing the root-mean-square-errors in temperature and column integrated water vapor by more than half.

Jing Feng et al.

Status: open (until 11 May 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Jing Feng et al.

Jing Feng et al.

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Short summary
It is challenging to measure atmospheric conditions above convective storms. This study develops a method to retrieve thermodynamic variables above convective storms by using satellite observations from hyperspectral infrared sounder and active sensors collectively. We find that this method well-captures the spatial distributions of thermodynamic anomalies above convective clouds. It is promising to apply this method to the current and future satellites.