Development of a neural network algorithm for the retrieval of TPW from NOAA16 AMSU measurements

References

• Alishouse , J. C. , Snider , J. B. , Westwater , E. R. , Swift , C. T. , Ruf , C. S. , Snyder , A. S. , Vongsathorn , J. and Ferraro , R. R. 1990b . Determination of cloud liquid water content using the SSM/I. . IEEE Geoscience and Remote Sensing , 28 : 817 – 822 .
   Web of Science ®Google Scholar
• Alishouse , J. C. , Snyder , S. , Vongsathorn , J. and Ferraro , R. R. 1990a . Determination of oceanic total precipitable water from the SSM/I. . IEEE Geoscience and Remote Sensing , 28 : 811 – 816 .
   Web of Science ®Google Scholar
• Atkinson , P. M. and Tatnall , A. R. L. 1997 . Neural networks in remote sensing. . International Journal of Remote Sening , 18 : 699 – 709 .
   Web of Science ®Google Scholar
• Butler , C. T. and Meredith , R. v. Z. 1996 . Retrieving atmospheric temperature parameters from DMSP SSM/T‐1 data with a neural network. . Journal of Geophysical Research , 101 : 7075 – 7083 .
   Google Scholar
• Cabrera‐Mercader , C. R. and Staelin , D. H. 1995 . Passive microwave relative humidity retrievals using feedforward neural networks. . IEEE Geoscience and Remote Sensing , 33 : 1324 – 1328 .
   Google Scholar
• Candill , M. and Butler , C. 1992 . IEEE First International Conference on Neural Networks , 767 – 775 . San Diego, CA : IEEE .
   Google Scholar
• Chang , B. and Titterington , D. M. 1994 . Neural networks; a review from a statistical perspective. . Statistical Science , 9 : 2 – 54 .
   Google Scholar
• Churnside , J. H. , Stermitz , T. A. and Schroeder , J. A. 1994 . Temperature profiling with neural network inversion of microwave radiometer data. . Journal of Atmospheric and Oceanic Technology , 11 : 105 – 109 .
   Web of Science ®Google Scholar
• Crewell , S. and Löhnert , U. 2003 . Accuracy of cloud liquid water path from ground‐based microwave radiometry, Part II. Sensor accuracy and synergy. . Radio Science , 38 : 8042
   Google Scholar
• Cruz Pol , S. L. , Ruf , C. S. and Keihm , S. J. 1998 . Improved 20–32 GHz atmospheric absorption model. . Radio Science , 33 : 1319 – 1334 .
   Google Scholar
• Deblonde , G. and English , S. 2000 . “ Evaluation of the Fastem–2 fast microwave oceanic surface emissivity model. ” . In Technical Proceedings of the 11th International ATOVS Study Conference 67 – 77 . 20–26 September 2000, Budapest, Hungary
   Google Scholar
• Deblonde , G. and Wagneur , N. 1997 . Evaluation of global numerical weather prediction analyses and forecasts using DMSP special sensor microwave imager retrievals. 1. Satellite retrieval algorithm intercomparison study. . Journal of Geophysical Research , 102 : 1833 – 1850 .
   Google Scholar
• Elsner , J. B. and Tsonis , A. A. 1992 . Nonlinear prediction, chaos, and noise. . Bulletin of the American Meteorological Society , 73 : 49 – 60 .
   Google Scholar
• English , S. J. and Hewison , T. J. 1998 . A fast generic millimeter‐wave emissivity model. . Proceedings of SPIE , 3503 : 288 – 300 .
   Google Scholar
• Eyre , J. R. 1991 . A Fast Radiative Transfer Model for Satellite Sounding Systems. ECMWF Research Dept. Tech. Memo. 176 (available from the librarian at ECMWF)
   Google Scholar
• Fausett , L. 1994 . Fundamentals of Neural Networks , 46 Englewood Cliffs, NJ : Prentice‐Hall .
   Google Scholar
• Goldberg , M. D. , Crosby , D. S. and Zhou , L. 2000 . The limb adjustment of AMSU‐A observations: methodology and validation. . Journal of Applied Meteorology , 40 : 70 – 83 .
   Google Scholar
• Greenwald , T. J. , Stephens , G. L. , Vonder Haar , T. H. and Jackson , D. L. 1993 . A physical retrieval of cloud liquid water over the global oceans using Special Sensor Microwave/Imager (SSM/I) observations. . Journal of Geophysical Research , 98 : 18471 – 18488 .
   Web of Science ®Google Scholar
• Grody , N. C. , Gruber , A. and Shen , W. C. 1980 . Atmospheric water content over the tropical Pacific derived from the Nimbus‐6 scanning microwave spectrometer. . Journal of Applied Meteorology , 19 : 986 – 996 .
   Google Scholar
• Grody , N. C. , Zhao , J. , Ferraro , R. R. , Weng , F. and Boers , R. 2001 . Determination of precipitable water and cloud liquid water over oceans from NOAA‐15 advanced microwave sounding unit. . Journal of Geophysical Research , 106 : 2943 – 2953 .
   Web of Science ®Google Scholar
• Hastenrath , S. , Greischar , L. and van Heerden , J. 1995 . Prediction of the summer rainfall over South Africa. . Journal of Climate , 8 : 1511 – 1518 .
   Web of Science ®Google Scholar
• Jackson , D. L. and Stephens , G. L. 1995 . A study of SSM/I derived columnar water vapor over the global oceans. . Journal of Climate , 8 : 2025 – 2038 .
   Google Scholar
• Jung , T. , Ruprecht , E. and Wagner , F. 1998 . Determination of cloud liquid water path over the oceans from SSM/I data using neural neworks. . Journal of Applied Meteorology , 37 : 832 – 844 .
   Google Scholar
• Karstens , U. , Simmer , C. and Ruprecht , E. 1994 . Remote sensing of cloud liquid water. . Meteorology and Atmospheric Physics , 54 : 157 – 171 .
   Web of Science ®Google Scholar
• Krasnopolsky , V. M. , Breaker , L. C. and Gemmill , W. H. 1995 . A neural network as a nonlinear transfer function model for retrieving surface wind speeds from the Special Sensor Microwave/Imager. . Journal of Geophysical Research , 100 : 11033 – 11045 .
   Web of Science ®Google Scholar
• Petty , G. W. and Katsaros , K. B. 1994 . The response of the SSM/I to the marine environment. Part II: A parameterization of the effect of the sea surface slope distribution on emission an reflection. . Journal of Atmospheric and Oceanic Technology , 11 : 617 – 628 .
   Google Scholar
• Prabhakara , C. , Wang , I. , Chang , A. T. C. and Gloersen , P. 1983 . A statistical examination of Nimbus‐7 SMMR data and remote sensing of sea surface temperature, liquid water content in the atmosphere and surface wind speed. . Journal of Applied Meteorology , 22 : 2023 – 2037 .
   Google Scholar
• Rumelhart , D. E. , Hinton , G. E. and Williams , R. J. 1986 . Learning Internal Representations by Error Propagation, Volume 1, Foundations , 318 – 362 . Cambridge, MA : The MIT Press .
   Google Scholar
• Saunders , R. , Matricardi , M. and Brunel , P. 1999 . An improved fast radiative transfer model for assimilation of satellite radiance observations. . Quarterly Journal of the Royal Meteorological Society , 125 : 1407 – 1425 .
   Web of Science ®Google Scholar
• Sengupta , S. K. and Boyle , J. S. 1995 . Nonlinear Principal Component Analysis of Climate Data: Program for Climate Model Diagnosis and Intercomparison, PCMDI Rep. 29 , 21 Livermore, CA : Lawrence Livermore National Laboratory .
   Google Scholar
• Stogryn , A. P. , Butler , C. T. and Bartolac , T. J. 1994 . Ocean surface wind retrievals from Special Sensor Microwave/Imager data with neural networks. . Journal of Geophysical Research , 99 : 981 – 984 .
   Web of Science ®Google Scholar
• Tang , B. , Flato , G. M. and Holloway , G. 1994 . A study of arctic sea ice and sea‐level pressure using POP and neural network methods. . Journal of Atmosphere and Ocean , 32 : 507 – 529 .
   Google Scholar
• Trenberth , K. E. and Guillemot , C. J. 1995 . Evaluation of the global atmospheric moisture budget as seen from analyses. . Journal of Climate , 9 : 2239 – 2254 .
   Google Scholar
• Tsang , L. , Chen , Z. , Oh , S. , Marks , R. J. and Chang , A. T. C. 1992 . Inversion of snow parameters from passive microwave remote sensing measurements by a neural network trained with a multiple scattering model. . IEEE Geoscience and Remote Sensing , 30 : 1015 – 1024 .
   Web of Science ®Google Scholar
• Weng , F. and Grody , N. C. 1994 . Retrieval of cloud liquid water over oceans using special sensor microwave imager (SSM/I). . Journal of Geophysical Research , 99 : 25535 – 25551 .
   Web of Science ®Google Scholar
• Wentz , F. J. 1997 . A well calibrated ocean algorithm for special sensor microwave/imager. . Journal of Geophysical Research , 102 : 8703 – 8718 .
   Web of Science ®Google Scholar