Abstract

Abstract. Stratospheric Inferred Winds (SIW) is a Swedish mini sub-millimeter limb sounder selected for the 2nd InnoSat platform, with launch planned for around 2022. It is intended to fill the altitude gap between 30 and 70 km in atmospheric wind measurements and also aims at pursuing the limb observations of temperature and key atmospheric constituents between 10 and 90 km when current satellite missions will probably come to an end. Line-of-sight winds are retrieved from the Doppler shift of molecular emission lines introduced by the wind field. Observations will be performed with two antennas pointing toward the limb in perpendicular directions in order to reconstruct the 2-D horizontal wind vector. Each antenna has a vertical field of view (FOV) of 5 km. The chosen spectral band, near 655 GHz, contains a dense group of strong O3 lines suitable for exploiting the small amount of wind information in stratospheric spectra. Using both sidebands of the heterodyne receiver, a large number of chemical species will be measured, including O3 isotopologues, H2O, HDO, HCl, ClO, N2O, HNO3, NO, NO2, HCN, CH3CN and HO2. This paper presents a simulation study that assesses measurement performance. The line-of-sight winds are retrieved between 30 and 90 km with the best sensitivity between 35 and 70 km, where the precision (1σ) is 5–10 m s−1 for a single scan. Similar performance can be obtained during day and night conditions except in the lower mesosphere, where the photo-dissociation of O3 in daytime reduces the sensitivity by 50 % near 70 km. Profiles of O3, H2O and temperature are retrieved with high precision up to 50 km ( < 1 %, < 2 %, 1 K, respectively). Systematic errors due to uncertainties in spectroscopic parameters, in the radiometer sideband ratio and in the radiance calibration process are investigated. A large wind retrieval bias of 10–30 m s−1 between 30 and 40 km could be induced by the air-broadening parameter uncertainties of O3 lines. This highlights the need for good knowledge of these parameters and for studying methods to mitigate the retrieval bias.

Highlights

  • Millimeter and sub-millimeter (MM and SMM) limb sounders have been successfully used for more than 2 decades to probe the atmospheric composition and the temperature from the upper troposphere to the lower thermosphere (Waters et al, 1993; Murtagh et al, 2002; Waters et al, 2006; Kikuchi et al, 2010)

  • The first generation of Millimeter Limb Sounder (MLS) provided unique observations of ClO, O3, H2O and HNO3 allowing, for instance, a better understanding of the physical and chemical processes leading to the northern high-latitude O3 depletion (Waters et al, 1993)

  • In this paper we present a simulation study that assesses the potential of Stratospheric Inferred Winds (SIW)

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Summary

Introduction

Millimeter and sub-millimeter (MM and SMM) limb sounders have been successfully used for more than 2 decades to probe the atmospheric composition and the temperature from the upper troposphere to the lower thermosphere (Waters et al, 1993; Murtagh et al, 2002; Waters et al, 2006; Kikuchi et al, 2010). Wu et al (2016) propose a small instrument for measuring the atomic oxygen line at 2.06 THz in order to retrieve its abundance as well as temperature and wind in the lower thermosphere This instrument cannot provide stratospheric and lower mesospheric information. This program has planned to launch a scientific instrument every 2 years, and SIW has been selected for the second launch near 2022 It will observe the middle atmosphere (15– 90 km) for a period expected to be at least 2 years, and will provide horizontal wind vectors within 30–90 km. The other primary products are the profiles of temperature, O3, H2O and more than a dozen of other chemical species With this mission it will be possible to ensure the continuous monitoring of the middle atmosphere, avoiding an SMM measurement gap.

Observation and instrument characteristics
Spectral bands
Radiative transfer and instrument
Specific intensity and wind
Calibration and measurement noise
Reference atmosphere
Retrieval method
Retrieval precision
O3 retrieval
Wind and temperature retrievals
H2O and other molecules retrievals
Systematic errors
Wind retrieval
Temperature and VMR retrievals
Findings
Conclusions
Full Text
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