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Lubin, D, Massom R, SpringerLink.  2006.  Polar Remote Sensing Volume I: Atmosphere and Oceans. , Berlin, Heidelberg: Praxis Pub., Chichester, UK Abstract
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Massom, R, Lubin D, SpringerLink.  2006.  Polar Remote Sensing Volume II: Ice Sheets. , Berlin, Heidelberg: Praxis Pub., Chichester, UK Abstract
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Frederick, JE, Lubin D.  1988.  Possible Long-Term Changes in Biologically-Active Ultraviolet-Radiation Reaching the Ground. Photochemistry and Photobiology. 47:571-578.   10.1111/j.1751-1097.1988.tb08846.x   AbstractWebsite

Three scenarios for long-term changes in atmospheric ozone over the time period 1960 to 2030 lead to different projections for the ultraviolet radiation flux at the earth's surface. Biologically effective fluxes for damage to DNA and generalized damage to plants vary by a factor of 10 or more with latitude and season irrespective of possible changes in ozone. The natural latitudinal gradient in radiation corresponds to spatial changes in biologically effective fluxes which are large compared to temporal changes expected from trends in ozone over the time period analyzed. In an extreme scenario of ozone change, based on an assumed increase in chlorofluorocarbon release rates of 3% per year after 1980, the annually integrated effective flux for damage to DNA increases by 13.5% at latitude 40°N between 1960 and 2030. With chlorofluorocarbon release rates held fixed at their 1980 values, the corresponding radiation increase is only 2.3%. In a scenario where atmospheric chlorine remains fixed at its 1960 value, trends in atmospheric methane and nitrous oxide imply a decrease in biologically effective flux at 40°N of 5.3% between 1960 and 2030.

Lomax, AS, Lubin D, Whritner RH.  1995.  The Potential for Interpreting Total and Multiyear Ice Concentrations in Ssm/I 85.5 Ghz Imagery. Remote Sensing of Environment. 54:13-26.   10.1016/0034-4257(95)00082-c   AbstractWebsite

The 85.5 GHz vertically and horizontally polarized channels of the Special Sensor Microwave Inagers (SSM/1) aboard the Defense Meteorological Satellite Program (DMSP) spacecraft offer the potential to map sea ice with a spatial resolution of 12.5 km, a factor of two improvement over the popular National Aeronautics and Space Administration (NASA) Team algorithm, but with the limitation of increased atmospheric influence on the sea ice signal. Application of an algorithm for estimating total ice concentration from 85.5 GHz data, which exploits the large polarization for open water versus the small polarization for most ice types, reveals agreement with the NASA Team algorithm typically within. a standard deviation of +/- 3% for nearly cloud-free winter conditions. The uncertainty increases to a standard deviation of +/- 6% for cloudy winter conditions. In winter, volume scattering from multiyear ice has a noticeable impact on the 85.5 GHz brightness temperatures. By employing a polarization corrected temperature variable previously defined to isolate precipitation in mid-latitude DMSP imagery, it is possible to exploit the large differences in 85.5 GHz emissivity between first year and multiyear ice to interpret an 85.5 GHz image in terms of both total ice and multiyear ice concentration. Preliminary results, for nearly cloud-free winter conditions, reveal agreement between these interpretations and the NASA Team algorithm to within a standard deviation of +/- 6%, with slightly better agreement at Low multiyear ice concentration.

Suzuki, N, Tytler D, Kirkman D, O'Meara JM, Lubin D.  2005.  Predicting QSO continua in the Ly alpha forest. Astrophysical Journal. 618:592-600.   10.1086/426062   AbstractWebsite

We present a method to make predictions with sets of correlated data values, in this case QSO flux spectra. We predict the continuum in the Lyalpha forest of a QSO, from 1020 to 1216 8, using the spectrum of that QSO from 1216 to 1600 Angstrom. We find correlations between the unabsorbed flux in these two wavelength regions in the Hubble Space Telescope (HST) spectra of 50 QSOs. We use principal component analysis to summarize the variety of these spectra, relate the weights of the principal components for 1020-1600 Angstrom to the weights for 1216-1600 Angstrom, and apply this relation to make predictions. We test the method on the HST spectra and find an average absolute flux error of 9%, with a range of 3%-30%, where individual predictions are systematically too low or too high. We mention several ways in which the predictions might be improved.