Optimized forward and retrieval model for MIPAS near-real-time data processing

Marco Ridolfi; Bruno Carli; Massimo Carlotti; Anu Dudhia; Jean-Marie Flaud; Michael Hoepfner; Paul E. Morris; Piera Raspollini; Gabriele P. Stiller; Robert J. Wells

doi:10.1117/12.317770

18 August 1998 Optimized forward and retrieval model for MIPAS near-real-time data processing

Marco Ridolfi, Bruno Carli, Massimo Carlotti, Anu Dudhia, Jean-Marie Flaud, Michael Hoepfner, Paul E. Morris, Piera Raspollini, Gabriele P. Stiller, Robert J. Wells

Author Affiliations +

Proceedings Volume 3501, Optical Remote Sensing of the Atmosphere and Clouds; (1998) https://doi.org/10.1117/12.317770
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

Abstract

The IR emission limb sounder MIPAS will be operated as an ESA core instrument on the ENVISAT-1 satellite. Near real time retrieval of pressure, temperature and volume mixing ratio of five key species from calibrated spectra will be performed in the Level 2 processor of the ENVISAT Payload Data Segment. In order to develop an optimized retrieval algorithm suitable for the implementation in MIPAS Level 2 processor, an ESA supported study is being carried out. In the framework of this study, an optimized forward/retrieval code based on the global fit approach was implemented. In this approach all the spectra of a limb-scanning sequence are simultaneously fitted, so that error propagation in the altitude domain is avoided. The attained accuracy performances of the retrieval code are the following: (i) temperature accuracy < 2 K at all the altitudes covered by the standard MIPAS scan; (ii) tangent pressure error: < 3 percent; (iii) error on the retrieved VMR of the key species: < 5 percent at most of the latitudes of scientific interest covered by the standard MIPAS scan. The run-time required to perform p,T and VMR retrieval of the five MIPAS target species from a limb-scanning sequence of 16 limb-views is less than 6 minutes on a SUN SPARCstation 20. The most effective code optimization were implemented in the radiative transfer model and in the computation of the jacobian of the retrieval.

Citation Download Citation

Marco Ridolfi, Bruno Carli, Massimo Carlotti, Anu Dudhia, Jean-Marie Flaud, Michael Hoepfner, Paul E. Morris, Piera Raspollini, Gabriele P. Stiller, and Robert J. Wells "Optimized forward and retrieval model for MIPAS near-real-time data processing", Proc. SPIE 3501, Optical Remote Sensing of the Atmosphere and Clouds, (18 August 1998); https://doi.org/10.1117/12.317770

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