served from IRI/LDEO Climate Data Library
NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 weekly ssta: Sea Surface Temperature Anomaly data
weekly ssta ssta Sea Surface Temperature Anomaly from NOAA NCEP EMC CMB GLOBAL 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) ... (29 Jan 2023 - 4 Feb 2023)] N= 2153 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (1E) to (0) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- 5.0
- CI
- 0.5
- colorscalename
- sstacolorscale
- CS
- -5.0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- PLOTCOAST
- 1
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- 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
- Averaged over T[Jan, Dec] minimum 0.0% data present
- colorscale
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: Wed, 22 Mar 2023 18:04:31 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv2 weekly ssta[ X Y | T] | M | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units