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Volumn 40, Issue 10, 2002, Pages 2263-2270

Application of neural algorithms for a real-time estimation of ozone profiles from GOME measurements

Author keywords

GOME; Neural networks; Ozone retrieval

Indexed keywords

ALGORITHMS; ATMOSPHERIC RADIATION; NEURAL NETWORKS; RADAR IMAGING; SATELLITES; SOLAR RADIATION; SPECTROMETERS; STATISTICAL METHODS;

EID: 0036821340     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2002.803622     Document Type: Article
Times cited : (44)

References (17)
  • 1
    • 0032998625 scopus 로고    scopus 로고
    • The global ozone monitoring experiment (GOME): Mission concept and first scientific results
    • J. P. Burrows et al., "The Global Ozone Monitoring Experiment (GOME): Mission concept and first scientific results," J. Atmos. Sci., vol. 56, pp. 151-175, 1999.
    • (1999) J. Atmos. Sci. , vol.56 , pp. 151-175
    • Burrows, J.P.1
  • 2
    • 0025589318 scopus 로고
    • Characterization and error analysis of profiles retrieved from remote sounding measurements
    • C. D. Rodgers, "Characterization and error analysis of profiles retrieved from remote sounding measurements," J. Geophys. Res., vol. 95, no. D5, pp. 5587-5595, 1990.
    • (1990) J. Geophys. Res. , vol.95 , Issue.D5 , pp. 5587-5595
    • Rodgers, C.D.1
  • 4
    • 0033586621 scopus 로고    scopus 로고
    • Ozone profiles from GOME satellite data: Algorithm description and first validation
    • R. Hoogen, V. V. Rozanov, and J. P. Burrows, "Ozone profiles from GOME satellite data: Algorithm description and first validation," J. Geophys. Res., vol. 104, pp. 8263-8280, 1999.
    • (1999) J. Geophys. Res. , vol.104 , pp. 8263-8280
    • Hoogen, R.1    Rozanov, V.V.2    Burrows, J.P.3
  • 6
    • 0029404660 scopus 로고
    • Passive microwave relative humidity retrievals using feedforward neural networks
    • Nov.
    • C. R. Cabrera and D. H. Staelin, "Passive microwave relative humidity retrievals using feedforward neural networks," IEEE Trans. Geosci. Remote Sensing, vol. 33, pp. 1324-1328, Nov. 1995.
    • (1995) IEEE Trans. Geosci. Remote Sensing , vol.33 , pp. 1324-1328
    • Cabrera, C.R.1    Staelin, D.H.2
  • 7
    • 0033189913 scopus 로고    scopus 로고
    • Nonlinear principal component analysis for the radiometric inversion of atmospheric profiles by using neural networks
    • Sept.
    • F. Del Frate and G. Schiavon, "Nonlinear principal component analysis for the radiometric inversion of atmospheric profiles by using neural networks," IEEE Trans. Geosci. Remote Sensing, vol. 37, pp. 2335-2342, Sept. 1999.
    • (1999) IEEE Trans. Geosci. Remote Sensing , vol.37 , pp. 2335-2342
    • Del Frate, F.1    Schiavon, G.2
  • 8
    • 0012503714 scopus 로고    scopus 로고
    • Retrieval of ozone profiles by using GOME measurements and a neural network algorithm
    • F. Del Frate, S. Casadio, and C. Zehner, "Retrieval of ozone profiles by using GOME measurements and a neural network algorithm," in Proc. IGARSS, Honolulu, HI.
    • Proc. IGARSS, Honolulu, HI
    • Del Frate, F.1    Casadio, S.2    Zehner, C.3
  • 9
    • 0012559669 scopus 로고    scopus 로고
    • Temperature independent differential absorption spectroscopy (TIDAS) for the measurement of ozone slant content using GOME data
    • S. Casadio and C. Zehner, "Temperature independent differential absorption spectroscopy (TIDAS) for the measurement of ozone slant content using GOME data," in Proc. XIX Quadriennial Ozone Symp., Sapporo, Japan, 2000.
    • Proc. XIX Quadriennial Ozone Symp., Sapporo, Japan, 2000
    • Casadio, S.1    Zehner, C.2
  • 10
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White, "Multilayer feedforward networks are universal approximators," Neural Networks, vol. 2, pp. 359-366, 1989.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 12
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • M. Moller, "A scaled conjugate gradient algorithm for fast supervised learning," Neural Networks, vol. 6, pp. 525-533, 1993.
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Moller, M.1
  • 14
    • 0003421109 scopus 로고
    • SNNS: Stuttgart neural network simulator user manual
    • Inst. Parallel and Distributed High Performance Systems, Univ. Stuttgart, Stuttgart, Rep. 6/95
    • A. Zell et al., "SNNS: Stuttgart Neural Network Simulator user manual," Inst. Parallel and Distributed High Performance Systems, Univ. Stuttgart, Stuttgart, Rep. 6/95, 1995.
    • (1995)
    • Zell, A.1
  • 15
    • 0003673198 scopus 로고    scopus 로고
    • METEOR-3 total ozone mapping spectrometer (TOMS) data products user guide
    • NASA, Ref. Pub. 1393
    • J. Herman et al., "METEOR-3 Total Ozone Mapping Spectrometer (TOMS) data products user guide," NASA, Ref. Pub. 1393, 1996.
    • (1996)
    • Herman, J.1
  • 16
    • 0012554599 scopus 로고    scopus 로고
    • Performances of MIPAS/ENVISAT level 2 inversion algorithm with data measured by the balloon instrument MIPAS-B
    • E. Battistini et al., "Performances of MIPAS/ENVISAT Level 2 inversion algorithm with data measured by the balloon instrument MIPAS-B," in Proc. Int. Radiation Symp. 2000, pp. 361-364.
    • Proc. Int. Radiation Symp. 2000 , pp. 361-364
    • Battistini, E.1
  • 17
    • 0034670982 scopus 로고    scopus 로고
    • Ozone mini-hole observed over Europe, influence of low stratospheric temperature and observation
    • M. Allaart et al., "Ozone mini-hole observed over Europe, influence of low stratospheric temperature and observation," Geophys. Res. Lett., vol. 27, pp. 4089-4092, 2000.
    • (2000) Geophys. Res. Lett. , vol.27 , pp. 4089-4092
    • Allaart, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.