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Published March 10, 2022 | Published
Journal Article Open

Simulated multispectral temperature and atmospheric composition retrievals for the JPL GEO-IR Sounder

Abstract

Satellite measurements enable quantification of atmospheric temperature, humidity, wind fields, and trace gas vertical profiles. The majority of current instruments operate on polar orbiting satellites and either in the thermal and mid-wave or in the shortwave infrared spectral regions. We present a new multispectral instrument concept for improved measurements from geostationary orbit (GEO) with sensitivity to the boundary layer. The JPL GEO-IR Sounder, which is an imaging Fourier transform spectrometer, uses a wide spectral range (1–15.4 µm) encompassing both reflected solar and thermal emission bands to improve sensitivity to the lower troposphere and boundary layer. We perform retrieval simulations for both clean and polluted scenarios that also encompass different temperature and humidity profiles. The results illustrate the benefits of combining shortwave and thermal infrared measurements. In particular, the former adds information in the boundary layer, while the latter helps to separate near-surface and mid-tropospheric variability. The performance of the JPL GEO-IR Sounder is similar to or better than currently operational instruments. The proposed concept is expected to improve weather forecasting as well as severe storm tracking and forecasting and also benefit local and global air quality and climate research.

Additional Information

© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Received: 20 Sep 2021 – Discussion started: 05 Oct 2021 – Revised: 27 Jan 2022 – Accepted: 28 Jan 2022 – Published: 10 Mar 2022. A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). The authors acknowledge Susan Kulawik for helpful discussions on retrieval constraints. This research has been supported by the National Oceanic and Atmospheric Administration (grant no. BAA‐NOAA‐GEO‐2019) and the Jet Propulsion Laboratory Advanced Concepts Program. Code and data availability: The code and data are available from the authors upon request. The LBLRTM code is archived on GitHub: https://github.com/AER-RC/LBLRTM (AER-RC, 2020). Author contributions: SPS, YHW, and LID conceived the work. VN provided the radiative transfer model, led the simulated retrieval work, and prepared the paper. ML, JFB, and ZCZ assisted with the retrievals. ML provided the trace gas absorption and inverse models. JLN provided the profiles for the simulations. JFB provided the instrument model. VHP and SPS helped analyze the simulation results. LW, JAR, and DJP provided the connection with OSSEs. All listed authors contributed to the review and editing of this paper. The contact author has declared that neither they nor their co-authors have any competing interests. Review statement: This paper was edited by Lars Hoffmann and reviewed by three anonymous referees.

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Additional details

Created:
August 22, 2023
Modified:
October 24, 2023