max [ NOAA NCDC ERSST version4 IOD C1979-2014 iod climatology ]: Indian Ocean Dipole 1979-2014 data
IOD C1979-2014 iod iod iod Indian Ocean Dipole 1979-2014 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
- CE
- null
- colorscalename
- sstacolorscale
- CS
- null
- datatype
- realarraytype
- iridl:hasSemantics
- iridl:SeaSurfaceTemperature
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- sea_surface_temperature
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- 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[1979, 2014] 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[1979, 2014] minimum 0.0% data present
Averaged over X[89E, 111E] Y[11S, 1N] minimum 0.0% data present
NOAA NCDC ERSST version4 IOD C1979-2014 iod climatology- Averaged over T2[1979, 2014] minimum 0.0% data present
max [ NOAA NCDC ERSST version4 IOD C1979-2014 iod climatology ]- max over T[16 Jan - 15 Feb, 16 Dec - 15 Jan]
References
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Huang_etal2015
Liu_etal2015
Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Expires: Mon, 02 Sep 2024 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