Objective measures of the information density of satellite data

SummaryWe propose and objective method whereby the density of Shannon's “information” associated with the retrieval of a profile of atmospheric variables from satellite-derived infrared radiance measurements may be estimated. The technique is a natural extension of one we previously proposed to estimate the effective data density in a profile. We test the method in a comparison of simulated satellite instruments to show that the method does indeed provide an objective summary of the spatial distribution of each instrument's information content. We propose that further extensions of the method be developed to include other more traditional data sources in a fully three-dimensional scheme. We also note that analogous and compatible methods may be used to diagnose the information content of meteorological analysis and forecast fields relative to the information contained in the covariance, at the appropriate season, of the corresponding climate fields.

[1]  William L. Smith,et al.  Vertical Resolution and Accuracy of Atmospheric Infrared Sounding Spectrometers. , 1992 .

[2]  W. Menke Geophysical data analysis : discrete inverse theory , 1984 .

[3]  William L. Smith,et al.  GHIS—The GOES High-Resolution Interferometer Sounder , 1990 .

[4]  J. R. Eyre,et al.  Inversion of cloudy satellite sounding radiances by nonlinear optimal estimation. I: Theory and simulation for TOVS , 1989 .

[5]  Aleksandr Yakovlevich Khinchin,et al.  Mathematical foundations of information theory , 1959 .

[6]  E. Dudewicz,et al.  Introduction to statistics and probability , 1977 .

[7]  S. Twomey,et al.  On the Numerical Solution of Fredholm Integral Equations of the First Kind by the Inversion of the Linear System Produced by Quadrature , 1963, JACM.

[8]  M. Foster An Application of the Wiener-Kolmogorov Smoothing Theory to Matrix Inversion , 1961 .

[9]  J. R. Eyre,et al.  The information content of data from satellite sounding systems: A simulation study , 1990 .

[10]  S. Hodge,et al.  Statistics and Probability , 1972 .

[11]  Barney J. Conrath,et al.  Vertical Resolution of Temperature Profiles Obtained from Remote Radiation Measurements. , 1972 .

[12]  G. Peckham The information content of remote measurements of atmospheric temperature by satellite infra‐red radiometry and optimum radiometer configurations , 1974 .

[13]  W. Menzel,et al.  Introducing GOES-I: The First of a New Generation of Geostationary Operational Environmental Satellites , 1994 .

[14]  Carlton L. Mateer,et al.  On the Information Content of Umkehr Observations. , 1965 .

[15]  Claude E. Shannon,et al.  The mathematical theory of communication , 1950 .

[16]  H. Fleming,et al.  INDIRECT MEASUREMENTS OF ATMOSPHERIC TEMPERATURE PROFILES FROM SATELLITES: I. INTRODUCTION , 1966 .

[17]  Grace Wahba,et al.  Design Criteria and Eigensequence Plots for Satellite-Computed Tomography , 1985 .

[18]  William L. Smith,et al.  HIS - A satellite instrument to observe temperature and moisture profiles with high vertical resolution , 1983 .

[19]  H.-L. Huang,et al.  Estimating effective data density in a satellite retrieval or an objective analysis , 1993 .

[20]  J. R. Eyre,et al.  Inversion of cloudy satellite sounding radiances by nonlinear optimal estimation. II: Application to TOVS data , 1989 .

[21]  C. Rodgers,et al.  Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation , 1976 .

[22]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[23]  Amiel Feinstein,et al.  Foundations of Information Theory , 1959 .