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Input Data: SST

1024 by 2048 Monthly HDF files from AVHRR Data (quality 5 to 8)

note: all data updated on 3.03.2009 to reflect usage of q5 to q8 data; please replace previous downloads with these values

note: AVHRR data are not generated with the same grid spacing as SeaWiFS and MODIS

To get these data, please click on the file name(s) that you have selected and save locally on your computer. The individual hdf files are gzipped (use gunzip to uncompress) and the tar files contain gzipped hdf files.

different grid size or timestep?

Data Selection

You can either download annual tar files with the data we have for each year, or you can access the individual monthly files at the end of this page.

Annual Tar Files

sst.a.1997.tar• 1997 data: ~   15 MB of compressed data
sst.a.1998.tar• 1998 data: ~   44 MB of compressed data
sst.a.1999.tar• 1999 data: ~   44 MB of compressed data
sst.a.2000.tar• 2000 data: ~   45 MB of compressed data
sst.a.2001.tar• 2001 data: ~   44 MB of compressed data
sst.a.2002.tar• 2002 data: ~   45 MB of compressed data
sst.a.2003.tar• 2003 data: ~   43 MB of compressed data
sst.a.2004.tar• 2004 data: ~   45 MB of compressed data
sst.a.2005.tar• 2005 data: ~   45 MB of compressed data
sst.a.2006.tar• 2006 data: ~   45 MB of compressed data
sst.a.2007.tar• 2007 data: ~   45 MB of compressed data
sst.a.2008.tar• 2008 data: ~   44 MB of compressed data
sst.a.2009.tar• 2009 data: ~   44 MB of compressed data

hdf file naming convention

sst.yyyyddd.hdf.gz

sst = sea surface temperature (units of degrees C )
yyyy = year
ddd= day of year of the start of each monthly file
hdf = file type
gz = compressed with gzip (uncompress with gunzip)

The hdf files have metadata contained within them, which can be examined, for example, with program "ncdump".

clouds have been filled in the input data using our own gap-filling software.

For citation, please reference the Ocean Productivity site for the data.

Monthly Files

 1997199819992000200120022003200420052006200720082009
January----- 1998001 1999001 2000001 2001001 2002001 2003001 2004001 2005001 2006001 2007001 2008001 2009001
February----- 1998032 1999032 2000032 2001032 2002032 2003032 2004032 2005032 2006032 2007032 2008032 2009032
March----- 1998060 1999060 2000061 2001060 2002060 2003060 2004061 2005060 2006060 2007060 2008061 2009060
April----- 1998091 1999091 2000092 2001091 2002091 2003091 2004092 2005091 2006091 2007091 2008092 2009091
May----- 1998121 1999121 2000122 2001121 2002121 2003121 2004122 2005121 2006121 2007121 2008122 2009121
June----- 1998152 1999152 2000153 2001152 2002152 2003152 2004153 2005152 2006152 2007152 2008153 2009152
July----- 1998182 1999182 2000183 2001182 2002182 2003182 2004183 2005182 2006182 2007182 2008183 2009182
August----- 1998213 1999213 2000214 2001213 2002213 2003213 2004214 2005213 2006213 2007213 2008214 2009213
September 1997244 1998244 1999244 2000245 2001244 2002244 2003244 2004245 2005244 2006244 2007244 2008245 2009244
October 1997274 1998274 1999274 2000275 2001274 2002274 2003274 2004275 2005274 2006274 2007274 2008275 2009274
November 1997305 1998305 1999305 2000306 2001305 2002305 2003305 2004306 2005305 2006305 2007305 2008306 2009305
December 1997335 1998335 1999335 2000336 2001335 2002335 2003335 2004336 2005335 2006335 2007335 2008336 2009335


Last modified: 26 October 2010
by:  Robert O'Malley

Lidar data (new)

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