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

Year: 2022

Authors: Raspollini P., Arnone E., Barbara F., Bianchini M., Carli B., Ceccherini S.,Chipperfield M.P., Dehn A., Della Fera S., Dinelli B.M., Dudhia A., J.M., Gai M., Kiefer M., Lupez-Puertas M., Moore D.P., Piro A., Remedios J.J., Ridolfi M., Sembhi H., Sgheri L., Zoppeti N.

Autors Affiliation: Istituto di Fisica Applicata Nello Carrara, Consiglio Nazionale delle Ricerche (IFAC-CNR), 50019 Sesto Fiorentino, Italy; Istituto di Scienze dell?Atmosfera e del Clima, Consiglio Nazionale delle Ricerche (ISAC-CNR), 40129 Bologna, Italy; Department of Physics, University of Turin, 10125 Turin, Italy; Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche (ISC-CNR), Section of Florence,Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy; School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK; National Centre for Earth Observation (NCEO), University of Leeds, Leeds LS2 9JT, UK; ESA-ESRIN, 00044 Frascati, Italy; Department of Physics and Astronomy, University of Bologna, 40127 Bologna, Italy; Department of Physics, University of Oxford, Oxford OX1 3PU, UK; Laboratoire Interuniversitaire des Systimes Atmosphyriques (LISA), UMR CNRS 7583, University de Paris,University Paris-Est, 94010 Cryteil, Paris, France; Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Karlsruhe, Germany; Instituto de Astrofnsica de Andalucna, CSIC, 18008 Granada, Spain; National Centre for Earth Observation (NCEO), University of Leicester, Leicester LE4 5SP, UK; School of Physics and Astronomy, University of Leicester, Leicester LE1 7RH, UK; SERCO SpA c/o European Space Agency ESA-ESRIN, 00044 Frascati, Italy; Istituto Nazionale di Ottica, Consiglio Nazionale delle Ricerche (INO-CNR), 50019 Sesto Fiorentino, Italy; Istituto per le Applicazioni del Calcolo, Consiglio Nazionale delle Ricerche (IAC-CNR), Section of Florence,Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy; Institut Pierre-Simon Laplace, 61 avenue du Gynyral de Gaulle, 94010 Cryteil CEDEX, France.

Abstract: High quality long-term data sets of altitude-resolved measurements of the atmospheric composition areimportant because they can be used both to study the evolu-tion of the atmosphere and as a benchmark for future mis-sions. For the final ESA reprocessing of MIPAS (MichelsonInterferometer for Passive Atmospheric Sounding) on ENVISAT (ENViromental SATellite) data, numerous improve-ments were implemented in the Level 2 (L2) processor Op-timised Retrieval Model (ORM) version 8.22 (V8) and itsauxiliary data. The implemented changes involve all aspects of the processing chain, from the modelling of the measure-ments with the handling of the horizontal inhomogeneitiesalong the line of sight to the use of the optimal estimationtechnique to retrieve the minor species, from a more sensitive approach to detecting the spectra affected by cloudsto a refined method for identifying low quality products. Improvements in the modelling of the measurements werealso obtained with an update of the used spectroscopic dataand of the databases providing the a priori knowledge ofthe atmosphere. The HITRAN_mipas_pf4.45 spectroscopic database was finalised with new spectroscopic data verifiedwith MIPAS measurements themselves, while recently measured cross-sections were used for the heavy molecules. TheLevel 2 Initial Guess (IG2) data set, containing the clima-tology used by the MIPAS L2 processor to generate the ini-tial 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 the ECMWFERA-Interim data closest in time and space to the MIPASdata. Further improv ements in the L2 V8 products derivedfrom the use of the L1b V8 products, which were upgraded to reduce the instrumental temporal drift and to handle theabrupt changes in the calibration gain. The improvements in-troduced 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, which are characterised by an increased accuracy, better temporal stability and a greater number of retrieved species.

Journal/Review: ATMOSPHERIC MEASUREMENT TECHNIQUES

Volume: 15 (6)      Pages from: 1871  to: 1901

More Information: This research has been supported by ESA ESRIN (contract no. 4000112093/14/I/LG MIPAS) and CCN2 “Support to MIPAS Level 2 Product Validation Phase F”.
KeyWords: Atmospheric composition, L2 analysis, MIPAS measurements
DOI: 10.5194/amt-15-1871-2022

Citations: 3
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