One-degree resolution SST dataset is produced using the data colleced ICOADS,
without spatial interpolation nor smoothing. The SST data were corrected
for biases arising from bucket and enjine measurements, with the corrected
value of Parker and Folland (1995) were applied. An realistic features
found in the gridded SST anomalies in ICOADS (at least in the version in
April 2004) or COADS were detected and removed. Detailed gridding methodology
and applications of this dataset for analysis of oceanic front variability
in the Northern Hemisphere can be found in Minobe and Maeda (2005). This
dataset can provide fine structures of SST variability on decadal timescales,
because spatial interpolation and smooting were not applied. On the other
hand, the dataset is noisy, but as shown in Minobe and Maeda (2005), one
can still find a way to extract useful information from this dataset.
You can use this 1-degree resolution SST dataset for education and scientific use (not for comercial use), with proper citation and aknowledgements. Also, we would like to encourage to e-mail to me (Shoshiro Minobe ), if you download this dataset, so that I can inform you future corrections or updates.
binary dataset (in the format of SST(360,180,12,153), fortran direct access, little endian, 68MB)
ctl file for Grads.
binary dataset (in the format of SST(360,180,73), fortran direct access, little endian, 7MB)
ctl file for Grads.
If you are not familiar with the Grads, you can easily read the data with fortran as follows.
Please use a proper method to read little-endian data, if you use a big-endian machine.
program main real:: sst(360,180) !sst(i,j), where i=1 is 0.5E, j=1 is -89.5S with 1 degree resolution. integer:: iyr, mth open(11,file='d:\datagrid\myicoads\sst2_anm_c_1850_2002.grd',form='unformatted',access='direct',recl=360*180) ! intel fortran ! open(11,file='d:\datagrid\myicoads\sst2_anm_c_1850_2002.grd',form='unformatted',access='direct',recl=360*180*4) ! most of other fortran do iyr=1850,2002 do mth=1,12 nrec=mth+(iyr-1850)*12 read(11,rec=nrec) sst enddo enddo close(11) open(21,file='d:\tmp\x.grd',form='binary') write(21) sst close(21) end program
If you prefer Matlab, please try the following.
fid=fopen('d:\datagrid\myicoads\sst2_anm_c_1850_2002.grd','rb','ieee-le'); undef=-1.e+10; for yr=1850:2002 for mth=1:12 % sst(i,j), where i=1 is 0.5E, j=1 is -89.5S with 1 degree resolution. sst=fread(fid,[360,180],'float32'); sst(sst==undef)=NaN; end end contour(sst');
Minobe S. and A. Maeda, 2005: A 1^o SST dataset compiled from ICOADS from 1850 to 2002 and Northern Hemisphere frontal variability. International Journal of Climatology. 25, 881-894. (PDF)
Folland, C. K. and D. E. Parker, 1995: Correction of instrumental biases in historical sea surface temperature data. Q. J. R. Meteorol. Soc., 121, 319-367.