served from IRI/LDEO Climate Data Library
∫dX ∂Y [ IGOSS nmc Reyn_SmithOIv1 weekly ssta ] : ∂Y Sea Surface Temperature Anomaly data
weekly ssta partial_Y ∂Y 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 (julian_day) ordered (1-7 Nov 1981) to (2-8 Mar 2003) by 7.0 N= 1114 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
- bufferwordsize
- 8
- CE
- 4.1999998
- colorscalename
- sstacolorscale
- CS
- -4.1999998
- datatype
- doublearraytype
- maxncolor
- 254
- PLOTCOAST
- 1
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 weekly sst
- Weekly mean sea surface temperature (blended from ship, buoy, and bias-corrected satellite data).
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 pentad-climatology sst
- Interpolated Climatological sea surface temperature (blended from ship and buoy, data (1950-1979)).
T regridded on NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 pentad-climatology sst
- Interpolated Climatological sea surface temperature (blended from ship and buoy, data (1950-1979)).
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 weekly sst
- colorscale
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
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