served from IRI/LDEO Climate Data Library
∫dY ∫dY ∫dX [ IGOSS nmc Reyn_SmithOIv1 monthly ssta climatology ] : Sea Surface Temperature Anomaly data
monthly ssta ssta int_dX int_dY int_dY Sea Surface Temperature Anomaly from IGOSS nmc Reyn_SmithOIv1: Sea surface temperature fields blended from ship, buoy and bias-corrected satellite data (Reynolds and Smith 1994).Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Nov) to (Oct) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (180W) to (180) by 1.0 N= 361 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- PLOTCOAST
- 1
- units
- 5.3165769342078×10-06 degree_Kelvin radian3 north
- history
- IGOSS nmc Reyn_SmithOIv1 monthly ssta
- Monthly mean sea surface temperature anomaly (blended from ship, buoy, and bias-corrected satellite data)
$integral dY$ $integral dY$ $integral dX$ [ IGOSS nmc Reyn_SmithOIv1 monthly ssta climatology ]- Averaged over T2[Nov 1981 - Oct 1982, Nov 2001 - Oct 2002]
References
R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994
Last updated: Mon, 12 Sep 2016 21:14:59 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dY$ $integral dY$ $integral dX$ [ IGOSS nmc Reyn_SmithOIv1 monthly ssta climatology ] [ X Y T |] | M | M | M |
|---|
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