data: $integral dX$ [ IGOSS TOGA-TAO.cdf sst ]

served from IRI/LDEO Climate Data Library

∫dX [ IGOSS TOGA-TAO.cdf sst ]: sea surface temperature data

sst sst sst int_dX sea surface temperature from IGOSS TOGA-TAO.cdf: Wind vectors and sea surface temperatures from the TOGA-TAO array in the tropical Pacific.

Independent Variables (Grids)

depth: grid: /depth (m) ordered [ (0.0)] :grid
time: grid: /time (months since 1960-01-01) ordered (Jan 1991) to (Oct 2014) by 1.0 N= 286 pts :grid
Longitude: grid: /X (degree_east) ordered (130E) to (95W) by 1.0 N= 136 pts :grid
Latitude: grid: /Y (degree_north) ordered (9S) to (12N) by 1.0 N= 22 pts :grid

Other Info

CE: 35
CI: 0.5
colorscalename: sstcolorscale
CS: -2
datatype: realarraytype
epic_code: 20
file_missing_value: 1.00000004E35
FORTRAN_format: f10.2
generic_name: temp
missing_value: NaN
units: 0.0174532925199433 ampere radian east second
history: [(Mean surface wind vectors (m/s) and sea surface temperature (C) as well as anomalies in the tropical Pacific.) (COADS Wind and Reynold-Smith (1994) climatologies.) (USA-FRANCE-JAPAN-KOREA-TAIWAN)]
colorscale

References

Mangum_etal1994

Soreide_etal1994

Last updated: Fri, 18 Sep 2015 18:39:07 GMT

Data Views

	depth	time	X	Y
$integral dX$ [ IGOSS TOGA-TAO.cdf sst ] 0.0 m[ X Y depth \| time]	M	M	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 X Y time
Differentiate along X Y time
Take differences along X Y time