Precision improvements in the geo-fit retrieval of pressure and temperature from MIPAS limb observations by modeling CO2 line-mixing

In this paper, we present an improvement of the retrieval of pressure and temperature from the observations of the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on board of the environmental satellite (ENVISAT). The improvement has been obtained by integrating a state-of-the-art CO₂ line-mixing model in a two-dimensional inversion system (Geo-fit). We describe the implementation of this model in the Geo-fit system and we show its capability to reproduce the CO₂ spectral features affected by line-mixing. The upgraded analysis algorithm provides a better fit of the set of MIPAS observations analyzed by the European Space Agency (ESA) ground segment although these observations have been selected with criteria that should avoid line-mixing effects. Moreover, we show that this set of observations can be extended improving the precision of the retrieved pressure and temperature fields without increasing the computing demands. Since the CO₂Q branches are very sensitive to pressure and temperature, the capability to model accurately the line-mixing effects opens the possibility to exploit at best these spectral regions to infer pressure and temperature distributions. According to this idea, we propose a new set of spectral intervals, including the most intense CO₂Q branches. It is shown that the analysis of these intervals provides a significant improvement (up to 70%) in the precision of the retrieved pressure and temperature profiles, while using a smaller number of observations with respect to the ESA ground segment analysis. Since the knowledge of pressure and temperature is necessary for the retrieval of the altitude distribution of all the atmospheric constituents, the benefits of more precise pressure and temperature fields obtained in this work propagate into the quality of all the MIPAS products.     

NO fundamental and first hot ro-vibrational line frequencies from MIPAS/Envisat atmospheric spectra

MIPAS (Michelson Interferometer for Passive Atmosphere Sounding) is a high spectral resolution interferometer (0.035 cm⁻¹ unapodized) covering a very wide spectral range (from 4.16 to 16.4 μm) with high sensitivity that was successfully launched on the 1st of March 2002 on the European Envisat satellite. MIPAS has measured spectra of the Earth’s upper atmosphere in the 4.3 μm region with the highest spectral resolution so far reached in this altitude region. This high spectral resolution permitted to obtain the frequency position of ro-vibrational NO⁺ transitions with an unprecedented accuracy. It has been found that the spectral line positions of the NO⁺ (1-0) ro-vibrational band are shifted by about ∼0.15 cm⁻¹ with respect to those listed in the HITRAN 2004 compilation. Also, spectral line positions of the NO⁺ (2-1) ro-vibrational band are shifted by approximately 0.05-0.1 cm⁻¹ with respect to those listed in the HITRAN 2004 compilation. A new set of Hamiltonian constants for NO⁺ has been derived from MIPAS data which is suggested to be used in future HITRAN compilations.     

Fast monochromatic radiative transfer calculations for limb sounding

Satellite observations of atmospheric infrared spectra can be modeled accurately with line-by-line calculations, but these are too slow to be incorporated into operational retrieval schemes. However, a monochromatic calculation is still feasible if the line-by-line summation is replaced by pre-tabulated absorption coefficients, requiring a three-way optimization of storage space, accuracy and access time.Such a scheme is used for the operational processing of data from MIPAS, a limb-viewing interferometer. The tabulated data are compressed to a manageable size using singular value decomposition, although the reconstruction adds a small overhead. The number of monochromatic radiative transfer calculations is reduced by determining suitable quadrature points in the spectral domain, which reduces both processing time and data storage requirements. An important aspect of such optimizations is the control of the associated errors in the forward model calculation.The result is an acceleration of monochromatic forward model calculations by one or two orders of magnitude compared to a line-by-line calculation without any significant loss of accuracy, while obtaining data compression factors of 100 or more compared to a direct tabulation of absorption coefficients.     

Multi-target retrieval (MTR): the simultaneous retrieval of pressure, temperature and volume mixing ratio profiles from limb-scanning atmospheric measurements

In this paper we describe a retrieval approach for the simultaneous determination of the altitude distributions of p, T and VMR of atmospheric constituents from limb-scanning measurements of the atmosphere. This analysis method, named multi-target retrieval (MTR), has been designed and implemented in a computer code aimed at the analysis of MIPAS-ENVISAT observations; however, the concepts implemented in MTR have a general validity and can be extended to the analysis of all type of limb-scanning observations. In order to assess performance and advantages of the proposed approach, MTR has been compared with the sequential analysis system implemented by ESA as the level-2 processor for MIPAS measurements. The comparison has been performed on a common set of target species and spectral intervals. The performed tests have shown that MTR produces results of better quality than a sequential retrieval. However, the simultaneous retrieval of p, T and water VMR has not lead to satisfactory results below the tropopause, because of the high correlation occurring between p and water VMR in the troposphere. We have shown that this problem can be fixed extending the MTR analysis to at least one further target whose spectral features decouple the retrieval of pressure and water VMR. Ozone was found to be a suitable target for this purpose. The advantages of the MTR analysis system in terms of systematic errors have also been discussed.