MIPAS-ENVISAT dataset for the study of the temporal evolution of the atmospheric composition (Comunicazione a convegno)

Type
Label
  • MIPAS-ENVISAT dataset for the study of the temporal evolution of the atmospheric composition (Comunicazione a convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • P. Raspollini, B. Carli, S. Ceccherini, U. Cortesi, S. Del Bianco, M. Ridolfi (2013)
    MIPAS-ENVISAT dataset for the study of the temporal evolution of the atmospheric composition
    in 33rd EARSeL (European Association of Remote Sensing Laboratories) Symposium, Matera, 3-6 Giugno 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • P. Raspollini, B. Carli, S. Ceccherini, U. Cortesi, S. Del Bianco, M. Ridolfi (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Fisica Applicata \"Nello Carrara\" del Consiglio Nazionale delle Ricerche Dipartimento di Fisica, Università di Bologna, Bologna, Italy (literal)
Titolo
  • MIPAS-ENVISAT dataset for the study of the temporal evolution of the atmospheric composition (literal)
Abstract
  • The understanding of climate change requires the study of the evolution of the atmospheric composition and in particular of the so-called greenhouse gases. To this purpose, availability of validated datasets covering a large temporal period and exploiting the synergic use of more than one instrument (data fusion) is a powerful technique that can provide target products of the best quality in terms of precision and accuracy, as well as spatial and temporal coverage and resolution. The ENVISAT decade of observations provide unique data that can be used as a reference database for the current state of the atmosphere and for studying time variation of atmospheric constituents and trends in combination with other data. These studies require a high accuracy in retrieved products, in particular a good characterization of the systematic error components that depend on time. The MIPAS instrument on the ENVISAT satellite has provided, almost continuously from 2002 to 2012, vertical profiles of the atmospheric composition on a global scale, during both day and night and with regularly spaced sampling which characterizes the chemical and physical processes occurring in the atmosphere from 6 to 70 km altitude, for observations made in nominal mode. Vertical profiles of temperature, as well as H2O, O3, HNO3, CH4, N2O, NO3, CFC-11, CFC-12, N2O5, ClONO2, has been provided by ESA, and other molecules (COF2, CCl4, CFC-22, CFC-14 and HCN) will be available soon. The data are continuously subject to quality controls supported by ESA, and further efforts will be performed to improve this dataset. When combining different instruments to extract trends it is necessary that the dataset of each instrument is accurately characterized and possible biases are identified. In the case of the MIPAS dataset, we have also to consider that the MIPAS mission is divided in two phases, the full resolution phase, from 2002 to 2004, and the optimized resolution phase, from 2005 to 2012, which is characterized by a finer vertical and horizontal sampling attained through a reduction of the spectral resolution. The two different phases have been adequately characterized and biases induced by the used of different spectral intervals and by the different measurement scenarios have been carefully investigated. Studies on trends performed with only MIPAS products have been performed by the authors of this paper for H2O with a new method that uses the 'measurement space solution'. The method uses all the information provided by the observations avoiding the artifacts introduced by the a priori information and by the interpolation to different vertical grids. The analysis provides very precise values of the trends that, however, are limited by a relatively large systematic error induced by the radiometric calibration error of the instrument that depends on time. Some improvements have been now obtained in this direction, but further efforts are still needed. The possibility of using MIPAS data in combination with other instruments has been also investigated. Data fusion with IASI has been performed with the same method used for the analysis of trends, namely the measurement space solution, that have demonstrated the improvements in data fusion products coming from complementing the information coming from a limb sounding instrument, like MIPAS, and a nadir sounding instrument, like IASI. In perspective fusion of MIPAS data with other instruments will be investigated, also for extending the time period covered by the ENVISAT period. (literal)
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