This directory contains locations for the Antarctic Polar Front determined by satellite sea surface temperature data from the NOAA/NASA Pathfinder project using the methods defined in Moore et al., 1997; 1999. Daily ascending and descending data files were averaged over weekly timescales. Please cite the following if you use this data in a publication, and I'd appreciate a reprint of any pubs that use this data. References 1997. Moore, J.K., Abbott, M.R., Richman, J.G., Variability in the location of the Antarctic Polar Front (90o-20oW) from satellite sea surface temperature data, J. Geophys. Res., 102, 27825-27833. 1999. Moore, J.K., Abbott, M.R., Richman, J.G., Location and dynamics of the Antarctic Polar Front from satellite sea surface temperature data, J. Geophys. Res., 104, 3059-3073. 2002. Moore, J.K., Abbott, M.R., Surface chlorophyll concentrations in relation to the Antarctic Polar Front: seasonal and spatial patterns from satellite observations, Journal of Marine Systems, 37: 69-86. The archive was compressed with gzip. To open gunzip APFpaths.tar.gz tar -xvf APFpaths.tar Different versions of the SST data were used in this mapping. from the NOAA/NASA Pathfinder data set at JPL. Version 4.1 is the final (best quality) data, but was not always available or even existed yet at the time of mapping. Below lists the versions used for each year. 1987 - Version 1.0 1988 - Version 1.0 1989 - Version 4.0 1990 - Version 4.0 1991 - Version 4.0 1992 - Version 4.0 1993 - Version 4.0 1994 - Version 4.0 1995 - Version 4.0, original data not recently corrected 1996 - Version 4.1, 1997 - weeks 1-39 interim V 4.1, weeks 40-52 final Version 4.1 1998 - Version 4.1 1999 - Version 4.1 Each file contains data in the format xpos ypos seasurfacetemperature 0 0 34 where xpos and ypos are the x,y locations on my global grid, and the byte value for SST from the original files. To convert this byte value to actual SST use: sst = float(bytevalue) * 0.15 - 3.0 To convert xpos and ypos to long and lat use: PRO latlon, x, y, lat, lon ; negative values indicate West, all lat in degrees South (positive) lon=float((x*0.08789)-179.95606) lat=float(80.0245-(y*0.08789)) print,"lon= ",lon print,"lat= ",lat RETURN END