served from IRI/LDEO Climate Data Library
∫dT ∫dX ∂Y ∂X ∂T [ IGOSS nmc Reyn_SmithOIv1 monthly ssta ] : ∂Y ∂X ∂T Sea Surface Temperature Anomaly data
monthly ssta ssta ssta partial_T partial_X partial_Y int_dX ∂Y ∂X ∂T 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 1960-01-01) ordered (Nov 1981) to (Mar 2003) by 1.0 N= 257 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (179.5E) to (179.5E) by 1.0 N= 361 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88S) to (88N) by 1.0 N= 177 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- PLOTCOAST
- 1
- units
- 57.2957795130822 degree_Kelvin radian-1 east
- history
- $integral dT$ $integral dX$ $partialdiff sub Y$ $partialdiff sub X$ $partialdiff sub T$ [ IGOSS nmc Reyn_SmithOIv1 monthly ssta ]
- Monthly mean sea surface temperature anomaly (blended from ship, buoy, and bias-corrected satellite data)
References
R. W. Reynolds, T. M. Smith. Improved global sea surface temperature analyses.. J. Climate 7, 1994
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ $integral dX$ $partialdiff sub Y$ $partialdiff sub X$ $partialdiff sub T$ [ IGOSS nmc Reyn_SmithOIv1 monthly ssta ] [ 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