root mean sq   ∂T [ NOAA NCDC ERSST version4 IOD C1961-2015 iod ]  :  ∂T Indian Ocean Dipole 1961-2015 data
IOD C1961-2015 iod partial_T 
∂T Indian Ocean Dipole 1961-2015 from NOAA NCDC ERSST version4:  In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010..
is 
Independent Variables (Grids)
- zlev
 -     grid: /zlev  (meters) ordered [ (0.0)] :grid
 
Other Info
- bufferwordsize
 -  8
 - CE
 -  null
 - colorscalename
 - sstacolorscale
 - CS
 -  null
 - datatype
 - doublearraytype
 - iridl:hasSemantics
 - iridl:SeaSurfaceTemperature
 - maxncolor
 -  254
 - missing_value
 -  NaN
 - pointwidth
 -  1.0
 - standard_name
 - sea_surface_temperature
 - units
 - 12 degree_Kelvin year-1
 - history 
 - mean [ NOAA NCDC ERSST version4 sst anomalies ]
- NOAA NCDC ERSST version4 sst
Version 4 based on Version 3b 
- NOAA NCDC ERSST version4 sst climatology
- Version 4 based on Version 3b
Averaged over T2[1961, 2015] minimum 0.0% data present 
 
Averaged over X[49E, 71E] Y[11S, 11N] minimum 0.0% data present
 
- mean [ NOAA NCDC ERSST version4 sst anomalies ]
- NOAA NCDC ERSST version4 sst
Version 4 based on Version 3b 
- NOAA NCDC ERSST version4 sst climatology
- Version 4 based on Version 3b
Averaged over T2[1961, 2015] minimum 0.0% data present 
 
Averaged over X[89E, 111E] Y[11S, 1N] minimum 0.0% data present
 
root mean sq   $partialdiff sub T$ [ NOAA NCDC ERSST version4 IOD C1961-2015 iod ]  - Averaged over T[16 Jan 1961 - 15 Feb 1961, 16 Nov 2015 - 15 Dec 2015] minimum 0.0% data present
 
References
Huang_etal2015
Liu_etal2015
Last updated:  Thu, 02 Nov 2023 07:43:25 GMT
Expires:  Sat, 02 Dec 2023 00:00:00 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 
    
 -  Differentiate along 
    
 -  Take differences  along 
 
Average over 
RMS (root mean square with mean *not* removed) over 
RMSA (root mean square with mean removed) over 
Maximum over 
Minimum over 
Detrend (best-fit-line) over 
Note on units