served from IRI/LDEO Climate Data Library
root mean sq anom ∫dX detrended-bfl detrended-bfl detrended-bfl [ IGOSS nmc Reyn_SmithOIv2 weekly ssta ] : Sea Surface Temperature Anomaly data
weekly ssta ssta ssta adif adif adif adif int_dX Sea Surface Temperature Anomaly from IGOSS nmc Reyn_SmithOIv2: SST fields updated from version 1 with more COADS data, new sea-ice to SST conversion algorithm, and 1971-2000 climatology.Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered [ (5-11 Nov 1981) (12-18 Nov 1981) (19-25 Nov 1981) ... (1-7 Dec 2019)] N= 1988 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89S) to (89N) by 1.0 N= 179 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- PLOTCOAST
- 1
- units
- 0.0174532925199433 degree_Kelvin radian east
- history
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 pentad-climatology sst
- Averaged over T[Jan, Dec] minimum 0.0% data present
T regridded on NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 pentad-climatology sst
Boxes with less than 0.0% dropped
root mean sq anom $integral dX$ detrended-bfl detrended-bfl detrended-bfl [ IGOSS nmc Reyn_SmithOIv2 weekly ssta ]- Averaged over X[1E, 1E] minimum 0.0% data present
- Averaged over T[Jan, Dec] minimum 0.0% data present
References
Reynolds, R.W., N.A. Rayner, T.M. Smith, D.C. Stokes, and W. Wang, 2002: An Improved In Situ and Satellite SST Analysis for Climate. J. Climate, 15, 1609-1625.
Last updated: Mon, 09 Dec 2019 08:01:48 GMT
Expires: Mon, 16 Dec 2019 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 root mean sq anom $integral dX$ detrended-bfl detrended-bfl detrended-bfl [ IGOSS nmc Reyn_SmithOIv2 weekly ssta ] [ Y | T] | M | M |
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Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units