Automatic detection of ship tracks in ATSR-2 satellite imagery
ATMOS CHEM PHYS 9 (2009) 1899–1905-1899–1905
Abstract:
Ships modify cloud microphysics by adding cloud condensation nuclei (CCN) to a developing or existing cloud. These create lines of larger reflectance in cloud fields that are observed in satellite imagery. An algorithm has been developed to automate the detection of ship tracks in Along Track Scanning Radiometer 2 (ATSR-2) imagery. The scheme has been integrated into the Global Retrieval of ATSR Cloud Parameters and Evaluation (GRAPE) processing chain. The algorithm firstly identifies intensity ridgelets in clouds which have the potential to be part of a ship track. This identification is done by comparing each pixel with its surrounding ones. If the intensity of three adjacent pixels is greater than the intensity of their neighbours, then it is classified as a ridgelet. These ridgelets are then connected together, according to a set of connectivity rules, to form tracks which are classed as ship tracks if they are long enough. The algorithm has been applied to two years of ATSR-2 data. Ship tracks are most frequently seen off the west coast of California, and the Atlantic coast of both West Africa and South Western Europe. The global distribution of ship tracks shows strong seasonality, little inter-annual variability and a similar spatial pattern to the distribution of ship emissions.Automatic detection of ship tracks in ATSR-2 satellite imagery
ATMOSPHERIC CHEMISTRY AND PHYSICS 9:6 (2009) 1899-1905
Laboratory measurements of the optical properties of sea salt aerosol
ATMOS CHEM PHYS 9 (2009) 221–230-221–230
Abstract:
The extinction spectra of laboratory generated sea salt aerosols have been measured from 1 mu m to 20 mu m using a Bruker 66v/S FTIR spectrometer. Concomitant measurements include temperature, pressure, relative humidity and the aerosol size distribution. The refractive indices of the sea salt aerosol have been determined using a simple harmonic oscillator band model ( Thomas et al., 2004) for aerosol with relative humidities at eight different values between 0.4% to 86%. The resulting refractive index spectra show significant discrepancies when compared to existing sea salt refractive indices calculated using volume mixing rules (Shettle and Fenn, 1979). Specifically, an additional band is found in the refractive indices of dry sea salt aerosol and the new data shows increased values of refractive index at almost all wavelengths. This implies that the volume mixing rules, currently used to calculate the refractive indices of wet sea salt aerosols, are inadequate. Furthermore, the existing data for the real and imaginary parts of the refractive indices of dry sea salt aerosol are found not to display the Kramers-Kronig relationship. This implies that the original data used for the volume mixing calculations is also inaccurate.Optimal estimation retrieval of aerosol microphysical properties from SAGE II satellite observations in the lower stratosphere
Atmospheric Chemistry and Physics Discussions 9:6 (2009) 23719-23753
Oxford-RAL Aerosol and Cloud (ORAC): aerosol retrievals from satellite radiometers
Chapter in Satellite Aerosol Remote Sensing Over Land, Springer Verlag (2009)