Preprints
https://doi.org/10.5194/amt-2021-235
https://doi.org/10.5194/amt-2021-235

  06 Sep 2021

06 Sep 2021

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

Level 2 processor and auxiliary data for ESA Version 8 final full mission analysis of MIPAS measurements on ENVISAT

Piera Raspollini1, Enrico Arnone2,3, Flavio Barbara1, Massimo Bianchini4, Bruno Carli1, Simone Ceccherini1, Martyn P. Chipperfield5,6, Angelika Dehn7, Stefano Della Fera1,8, Bianca Maria Dinelli2, Anu Dudhia9, Jean-Marie Flaud10,18, Marco Gai1, Michael Kiefer11, Manuel López-Puertas12, David P. Moore13,14, Alessandro Piro15, John J. Remedios13,14, Marco Ridolfi16, Harjinder Sembhi14, Luca Sgheri17, and Nicola Zoppetti1 Piera Raspollini et al.
  • 1Istituto di Fisica Applicata Nello Carrara, Consiglio Nazionale delle Ricerche (IFAC-CNR), I-50019 Sesto Fiorentino, Italy
  • 2Istituto di Scienze dell’Atmosfera e del Clima, , Consiglio Nazionale delle Ricerche (ISAC-CNR), I-40129 Bologna, Italy
  • 3Department of Physics, University of Turin, 10125 Torino, Italy
  • 4Istituto dei Sistemi Complessi (ISC) del Consiglio Nazionale delle Ricerche (CNR), Section of Florence, Italy
  • 5School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
  • 6National Centre for Earth Observation (NCEO), University of Leeds, Leeds, LS2 9JT, UK
  • 7ESA-ESRIN, Frascati, Italy
  • 8Department of Physics and Astronomy, University of Bologna, Bologna, Italy
  • 9Department of Physics, University of Oxford, UK
  • 10Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR CNRS 7583, Université de Paris, Université Paris-Est Créteil
  • 11Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Karlsruhe, Germany
  • 12Instituto de Astrofísica de Andalucía, CSIC, Granada, Spain
  • 13National Centre for Earth Observation (NCEO), University of Leicester, Leicester, United Kingdom
  • 14School of Physics and Astronomy, University of Leicester, Leicester, United Kingdom
  • 15SERCO SpA c/o European Space Agency ESA-ESRIN, Frascati, Italy
  • 16Istituto Nazionale di Ottica, Consiglio Nazionale delle Ricerche (INO-CNR), I-50019 Sesto Fiorentino, Italy
  • 17Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche (IAC-CNR), Section of Florence, Italy
  • 18Institut Pierre-Simon Laplace, 61 avenue du Général de Gaulle, 94010 Créteil Cedex, France

Abstract. High quality long-term data sets of altitude-resolved measurements of the atmospheric composition are important because they can be used both to study the evolution of the atmosphere and as a benchmark for future missions. For the final ESA reprocessing of MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) on ENVISAT (ENViromental SATellite) data, numerous improvements were implemented in the level 2 (L2) processor Optimised Retrieval Model (ORM) version 8.22 (V8) and its auxiliary data. The implemented changes involve all aspects of the processing chain, from the modelling of the measurements with the handling of the horizontal inhomogeneities along the line of sight to the use of the Optimal Estimation for retrieving the minor species, from a more sensitive approach to detect the spectra affected by clouds to a refined method for identifying low quality products. Improvements in the modelling of the measurements were obtained also with an update of the used spectroscopic data and of the databases providing the a priori knowledge of the atmosphere. The HITRAN_mipas_pf4.45 spectroscopic database was finalised with new spectroscopic data verified with MIPAS measurements themselves, while recently measured cross-sections were used for the heavy molecules. The so-called IG2 data set, containing the climatology used by MIPAS L2 processor to generate the initial guess and interfering species profiles when the retrieved profiles from previous scans are not available, was improved taking into account the diurnal variation of the profiles defined using climatologies from both measurements and models. Horizontal gradients were generated using ECMWF ERA-Interim data closest in time and space to the MIPAS data. Further improvements in the L2 V8 products derived from the use of the L1b V8 products, which were upgraded to reduce the instrumental temporal drift and to handle the abrupt changes in the calibration gain. The improvements introduced into the ORM V8 L2 processor and its upgraded auxiliary data, together with the use of the L1b V8 products, lead to the generation of the MIPAS L2 V8 products that are characterised by an increased accuracy, better temporal stability, and a greater number of retrieved species.

Piera Raspollini et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-235', Anonymous Referee #1, 21 Oct 2021
  • RC2: 'Comment on amt-2021-235', Anonymous Referee #2, 11 Nov 2021

Piera Raspollini et al.

Data sets

IG2 database V5.4 D. Moore, J. Remedios, H. Sembhi et al. https://earth.esa.int/eogateway/instruments/mipas/products-information?text=mipas

HITRAN_mipas_pf4.45 spectroscopic database J.-M. Flaud et al. https://earth.esa.int/eogateway/web/guest/instrument/mipas/mipas-spectroscopic-database

Piera Raspollini et al.

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Short summary
The instrument MIPAS on board of ENVISAT satellite provided for 10 years measurements of the atmospheric emission al limb that allow the retrieval of latitude- and altitude-resolved atmospheric composition. We describe the improvements implemented in the retrieval algorithm used for the full mission reanalysis which allow to generate the global distributions of 21 atmospheric constituents plus temperature with increased accuracy with respect to previously generated data.