served from IRI/LDEO Climate Data Library
∫dX [ IGOSS nmc Reyn_SmithOIv2 weekly err ]: SST Normalized Error Variance data
weekly err int_dX SST Normalized Error Variance 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 [ (1200 8 Nov 1981 - 1200 15 Nov 1981) (1200 15 Nov 1981 - 1200 22 Nov 1981) (1200 22 Nov 1981 - 1200 29 Nov 1981) ... (1200 25 Jan 2023 - 1200 1 Feb 2023)] N= 2152 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0) to (0) by 1.0 N= 361 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid
Other Info
- datatype
- realarraytype
- units
- degree_east
- standard units*
- 0.0174532925199433 radian east
References
Reynolds_etal2002Last 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 | |
 $integral dX$ [ IGOSS nmc Reyn_SmithOIv2 weekly err ][ 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