Abstract

Abstract. In this study we introduce a new strategy for the measurement of CO2 distribution in the stratosphere. The proposed experiment is based on an orbiting limb sounder that measures the atmospheric emission within both the thermal infrared (TIR) and far-infrared (FIR) regions. The idea is to exploit the contribution of the pure rotational transitions of molecular oxygen in the FIR to determine the atmospheric fields of temperature and pressure that are necessary to retrieve the distribution of CO2 from its rovibrational transitions in the TIR. The instrument envisaged to test the new strategy is a Fourier transform spectrometer with two output ports hosting a FIR detector devoted to measuring the O2 transitions and a TIR detector devoted to measure the CO2 transitions. Instrumental and observational parameters of the proposed experiment have been defined by exploiting the heritage of both previous studies and operational limb sounders. The performance of the experiment has been assessed with two-dimensional (2-D) retrievals on simulated observations along a full orbit. For this purpose, optimal spectral intervals have been defined using a validated selection algorithm. Both precision and spatial resolution of the obtained CO2 distributions have been taken into account in the results–evaluation process. We show that the O2 spectral features significantly contribute to the performance of CO2 retrievals and that the proposed experiment can determine 2-D distributions of the CO2 volume mixing ratio with precisions of the order of 1 ppmv in the 10–50 km altitude range. The error budget, estimated for the test case of an ideal instrument and neglecting the spectroscopic errors, indicates that, in the 10–50 km altitude range, the total error of the CO2 fields is set by the random component. This is also the case at higher altitudes, provided the retrieval system is able to model the non-local thermal equilibrium conditions of the atmosphere. The best performance is obtained at altitudes between 20 and 50 km, where the vertical resolution ranges from 3 to 5 km, and the horizontal resolution is of the order of 300–350 km depending on latitude.

Highlights

  • The role of CO2 in the radiative budget of the biosphere is well established as well as the consequences of its growth on the Earth’s climate

  • We have considered errors deriving from the volume mixing ratio (VMR) uncertainty of all of the atmospheric constituents and the error deriving from the non-local thermal equilibrium (NLTE) conditions when they are not modelled in the retrieval system

  • In this paper we have studied the possibility of measuring the CO2 distributions in the stratosphere by exploiting the synergism between FIR and thermal infrared (TIR) limb-sounding measurements from space

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Summary

Introduction

The role of CO2 in the radiative budget of the biosphere is well established as well as the consequences of its growth on the Earth’s climate. Physical and chemical parameters in the stratosphere and upper troposphere and to monitor their evolution over the years Some limb experiments, such as the Michelson Interferometer for Passive Atmospheric Sounding, MIPAS (Fischer et al, 2008) and the High Resolution Dynamics Limb Sounder, HIRDLS (Gille et al, 2008), exploit the CO2 rovibrational transitions to determine pressure (P ) and temperature (T ) fields that, besides their intrinsic importance, are necessary in the data analysis to retrieve any target molecule from its spectral features. As the O2 rotational transitions originate from a magnetic dipole moment, their line strengths are very low; due to both the huge abundance of O2 and the long optical path of limb observation geometries, they are among the most prominent features of the atmospheric spectrum below 200 cm−1 (Carli and Carlotti, 1992) This is illustrated, where the upper panel shows the simulated FIR atmospheric emission at 20 km tangent altitude

Instrumental and observational parameters
Selection of optimal spectral intervals
Layout of the retrievals on simulated observations
Retrieval strategy
Retrieval set-up
Retrieval results
Error budget
Conclusions
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