root mean sq [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 ( { climatology sst } + { monthly ssta } ) ]: Sea Surface Temperature data
root mean sq [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 ( { climatology sst } + { monthly ssta } ) ].
Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered [ (May 1988)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (9.5N) to (15.5N) by 1.0 N= 7 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- sstcolorscale
- CS
- null
- datatype
- doublearraytype
- iridl:hasSemantics
- iridl:climatology
- labelinterval
- 5.0
- PLOTCOAST
- 1
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 climatology sst
Climatological sea surface temperature (blended from ship and buoy, data (1950-1979)).
- NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 monthly ssta
- Monthly mean sea surface temperature anomaly (blended from ship, buoy, and bias-corrected satellite data)
root mean sq [ NOAA NCEP EMC CMB GLOBAL Reyn_SmithOIv1 ( { climatology sst } + { monthly ssta } ) ]- Averaged over X[179.5W, 149.5W]
References
Reynolds, R. W. and T. M. Smith 1995: A high-resolution global sea surface temperature climatology. J. Climate, 8, 1571–1583
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
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 Y
- Differentiate along Y
- Take differences along Y
Average over
Y
|
RMS (root mean square with mean *not* removed) over
Y
|
RMSA (root mean square with mean removed) over
Y
|
Maximum over
Y
|
Minimum over
Y
|
Detrend (best-fit-line) over
Y
|
Note on units