data: $partialdiff sub T$ $partialdiff sub T$ [ NOAA NCDC ERSST version4 IOD C1981-2010 iod ]

∂_T ∂_T [ NOAA NCDC ERSST version4 IOD C1981-2010 iod ] : ∂_T ∂_T Indian Ocean Dipole 1981-2010 data

IOD C1981-2010 iod iod partial_T ∂_T ∂_T Indian Ocean Dipole 1981-2010 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..

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (16 Feb 1981 - 15 Mar 1981) to (16 Oct 2010 - 15 Nov 2010) by 1.0 N= 357 pts :grid
zlev: grid: /zlev (meters) ordered [ (0.0)] :grid

Other Info

CE

colorscalename

sstacolorscale

CS

-2

datatype

realarraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperature

maxncolor

254

missing_value

NaN

pointwidth

1.0

standard_name

sea_surface_temperature

units

144 degree_Kelvin year^-2

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[1981, 2010] 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[1981, 2010] minimum 0.0% data present

Averaged over X[89E, 111E] Y[11S, 1N] minimum 0.0% data present

colorscale

References

Huang_etal2015

Liu_etal2015

Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Sat, 02 Dec 2023 00:00:00 GMT

Data Views

	T	zlev
NOAA NCDC ERSST version4[IOD anom sst ]
$partialdiff sub T$ $partialdiff sub T$ [ NOAA NCDC ERSST version4 IOD C1981-2010 iod ] 0.0 meters[ zlev \| T]	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 T
Differentiate along T
Take differences along T