Abstract
The methodological and computational aspects of Fast Radiative Transfer Model (FRTM) development designed for the analysis and validation of the data of measurements using satellite-based instrument-hyperspectral IR sounders of high spectral resolution—are considered. A description of the FRTM is given for the analysis and modeling of the measurements by the IRFS-2 IR Fourier spectrometer for polarorbiting meteorological satellites of the Meteor-M series based on the known RTTOV FRTM. Computational efficiency is estimated and the results of the verification of developed FRTM are presented. They were obtained from a comparison of model simulations with exact line-by-line calculations for the IRFS-2 IR sounder. The increase in computational performance and the accuracy of the FRTM, caused by the application of the algorithms of the principal components method, are discussed. The construction of radiative models, which use the algorithm of the Monte Carlo method and are applicable for the analysis and modeling of the data of IR sounders under conditions of cloudiness in the instrument field of view, is considered.
Similar content being viewed by others
References
A Preliminary Cloudless Standard Atmosphere for Radiation Computation, World Climate Research Program, International Association for Meteorology and Atmospheric Physics, Radiation Commission, 1986, WCP-112, WMO/TD, No. 24.
Aires, F., Rossow, W.B., Scott, N.A., et al., Remote sensing from the IASI instrument. 1. Compressing, denoising, and first-guess retrieval algorithms, J. Geophys. Res., 2002, vol. 107, no. D22, pp. 6-1–6-15. doi: 10.1029/2001/D000955
Huang, H.-L. and Antonelli, P., Application of principal component analysis to high-resolution infrared measurement compression and retrieval, J. Climatol. Appl. Meteorol., 2001, vol. 40, pp. 365–388.
Liu, X., Smith, W.L., Zhou, D.K., et al., Principal component-based radiative transfer model for hyperspectral sensors: Theoretical concept, Appl. Opt., 2006, vol. 45, pp. 201–209.
Matricardi, M., The Generation of RTTOV Regression Coefficients for IASI and AIRS Using a New Profile Training Set and a New Line-by-Line Database, Reading: ECMWF, 2008.
Matricardi, M., A principal component based version of the RTTOV fast radiative transfer model, Q. J. R. Meteorol. Soc., 2010, vol. 136, pp. 1823–1835.
Metod Monte-Karlo v atmosfernoi optike (The Monte-Carlo Method in Atmospheric Optics), Marchuk, G.I., Ed., Novosibirsk: Nauka, 1976.
Oblaka i oblachnaya atmosfera (Clouds and Cloudy Atmosphere), Mazin, I.P. and Khrgian, A.Kh., Eds., Leningrad: Gidrometeoizdat, 1989.
Rodgers, C.D., Inverse Methods for Atmospheric Sounding: Theory and Practice, Singapore: World Sci. Publ. Co., 2000.
Rublev, A.N., Uspenskii, A.B., Trotsenko, A.N., et al., Detection and assessment of the cloud amount by high spectral-resolution atmospheric IR-sounder data, Issled. Zemli Kosmosa, 2004, no. 2, pp. 1–9.
Saunders, R.W., Matricardi, M., and Brunel, P., An improved fast radiative transfer model for assimilation of satellite radiance observations, Q. J. R. Meteorol. Soc., 1999, vol. 125, pp. 1407–1425.
Strow, L.L., Hannon, S.E., DeSouza-Mackado, S., et al., An overview of the AIRS radiative transfer model, IEEE Trans. Geosci. Remote Sens., 2003, vol. 41, no. 2, pp. 303–313.
Trotsenko, A.N., Kopylov, A.V., Rublev, A.N., et al., Efficient forward model to simulate IASI/METOP measurements and its validation against high-resolution field observations, IRS 2000: Current Problems in Atmospheric Radiation, Smith, W.L. and Timofeev, Yu.L., Eds., Hampton: A Deepak Publ., 2001, pp. 401–404.
Trotsenko, A.N., Uspensky, A.B., Kopylov, A., et al., Modular prototype processor for geophysical parameters retrieval from IASI: Pilot version, Eumetsat Meteorological Satellite Conference, Weimar, Germany, 2003, pp. 110–117.
Uspenskii, A.B., Romanov, S.V., and Trotsenko, A.N., Using the method of principal component analysis for high-resolution IR spectra measured by satellites, Issled. Zemli Kosmosa, 2003, no. 3, pp. 26–33.
Uspenskii, A.B., Trotsenko, A.N., and Rublev, A.N., Problems and prospects of the analysis and use of data of satellite IR sounders with high spectral resolution, Issled. Zemli Kosmosa, 2005, no. 5, pp. 18–33.
Uspensky, A.B., Rublev, A.N., Rusin, E.V., and Pyatkin, V.P., A fast radiative transfer model for the Meteor-M satellite-based hyperspectral IR sounders, Issled. Zemli iz Kosmosa, 2014, no. 9, pp. 968–977.
Zavelevich, F.S., Golovin, Yu.M., Desyatov, A.V., et al., A Fourier-spectrometer for remote sensing of the Earth’s atmosphere, Proc. of the All-Russian Conf. “Modern Problems of Remote Sensing of the Earth from Space,” November 10–14, 2008, Moscow, Moscow: IKI RAN, 2008, vol. 3, no. 1, pp. 224–230.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © A.B. Uspensky, A.N. Rublev, E.V. Rusin, V.P. Pyatkin, 2013, published in Issledovanie Zemli iz Kosmosa, 2013, No. 6, pp. 16–24.
Rights and permissions
About this article
Cite this article
Uspensky, A.B., Rublev, A.N., Rusin, E.V. et al. A Fast Radiative Transfer Model for the Meteor-M satellite-based hyperspectral IR sounders. Izv. Atmos. Ocean. Phys. 50, 968–977 (2014). https://doi.org/10.1134/S0001433814090205
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S0001433814090205