served from IRI/LDEO Climate Data Library
∂T ∫dX ∂T [ IGOSS nmc Reyn_SmithOIv1 monthly ssta ] : ∂T ∂T Sea Surface Temperature Anomaly data
monthly ssta ssta ssta partial_T int_dX ∂T ∂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 (16 Dec 1981 - 15 Jan 1982) to (16 Jan 2003 - 15 Feb 2003) by 1.0 N= 254 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 (89S) to (89N) by 1.0 N= 179 pts :grid
Other Info
- CE
- 4.1999998
- colorscalename
- sstacolorscale
- CS
- -4.1999998
- datatype
- realarraytype
- maxncolor
- 254
- PLOTCOAST
- 1
- units
- 2.51327412287184 degree_Kelvin radian east year-2
- history
- $partialdiff sub T$ $integral dX$ $partialdiff sub T$ [ IGOSS nmc Reyn_SmithOIv1 monthly ssta ]
- Monthly mean sea surface temperature anomaly (blended from ship, buoy, and bias-corrected satellite data)
- colorscale
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Reynolds_Smith1994Last 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 | |
 $partialdiff sub T$ $integral dX$ $partialdiff sub T$ [ 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