served from IRI/LDEO Climate Data Library
detrended-bfl ∫dX ∂X [ IGOSS nmc Reyn_SmithOIv2 weekly ssta ] : ∂X Sea Surface Temperature Anomaly data
weekly ssta ssta ssta partial_X int_dX ∂X Sea Surface Temperature Anomaly 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 (days since 1970-01-01) ordered [ (1200 12 Dec 8663 - 1200 19 Dec 8663) (1200 19 Dec 8663 - 1200 26 Dec 8663) (1200 26 Dec 8663 - 1200 2 Jan 8664) ... (1200 7 Mar 8705 - 1200 14 Mar 8705)] N= 2153 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0.5E) to (0.5E) 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
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- doublearraytype
- 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
References
Reynolds_etal2002Last updated: Wed, 22 Mar 2023 18:05:36 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 detrended-bfl $integral dX$ $partialdiff sub X$ [ IGOSS nmc Reyn_SmithOIv2 weekly 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