IASI-METOP and MIPAS-ENVISAT data fusion

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Abstract

The combination of data obtained with different sensors (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. In this paper the results are presented of the data fusion of measurements of ozone vertical profile performed by two space-borne interferometers (IASI on METOP and MIPAS on ENVISAT) using the new measurement-space-solution method. With this method both the loss of information due to interpolation and the propagation of possible biases (caused by a priori information) are avoided. The data fusion products are characterized by means of retrieval errors, information gain, averaging kernels and number of degrees of freedom. The analysis is performed both on simulated and real measurements and the results demonstrate and quantify the improvement of data fusion products with respect to measurements of a∼single instrument. © Author(s) 2010.

Figures

  • Fig. 1. Results of the simulation showing the true ozone VMR profile (magenta line) and the profiles retrieved using only the IASI measurement (green line), only the MIPAS measurement (blue line) and the IASI-MIPAS data fusion (black line). The magenta, blue and black lines overlap across the entire altitude range.
  • Fig. 2. Percentage differences in the simulated case between the profiles retrieved using only the IASI measurement (green line in (a)), only the MIPAS measurement (blue line in (b)), the IASIMIPAS data fusion (black line in (c)) and the true profile. The gray areas represent the percentage retrieval errors of the three retrieved profiles. For comparison in all panels the percentage difference between the climatological profile and the true profile is shown (red lines).
  • Fig. 3. Percentage retrieval errors in the simulated case for the profiles retrieved using only the IASI measurement (green line), only the MIPAS measurement (blue line) and the IASI-MIPAS data fusion (black line). The standard deviation of the climatological profile (red line) is also reported. (b) shows a blow up of (a) in the low altitude region.
  • Fig. 4. AKs for the simulated case relative to 5 km step altitudes, in the altitude range 0–80 km, for the profiles retrieved using only the IASI measurement (a), only the MIPAS measurement (b) and the IASI-MIPAS data fusion (c).
  • Fig. 6. Information gain as a function of the number of components used to represent the MSS in the simulated case for the profiles retrieved using only the IASI measurement (green line), only the MIPAS measurement (blue line) and the IASI-MIPAS data fusion (black line).
  • Fig. 5. AKs for the simulated case relative to 1, 3, 5, 7, 9, 11 km altitudes, in the altitude range 0–15 km, for the profiles retrieved using only the IASI measurement (a), only the MIPAS measurement (b) and the IASI-MIPAS data fusion (c).
  • Table 1. Information gain and number of degrees of freedom for the profiles retrieved from simulated measurements using only the IASI measurement, only the MIPAS measurement and the IASI-MIPAS data fusion.
  • Fig. 7. Number of degrees of freedom as a function of the number of components used to represent the MSS in the simulated case for the profiles retrieved using only the IASI measurement (green line), only the MIPAS measurement (blue line) and the IASI-MIPAS data fusion (black line). The dashed red line corresponds to the ideal case that each measured component contributes with one degree of freedom.

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CITATION STYLE

APA

Ceccherini, S., Cortesi, U., Del Bianco, S., Raspollini, P., & Carli, B. (2010). IASI-METOP and MIPAS-ENVISAT data fusion. Atmospheric Chemistry and Physics, 10(10), 4689–4698. https://doi.org/10.5194/acp-10-4689-2010

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