data: IGOSS TOGA-TAO.cdf ssta

served from IRI/LDEO Climate Data Library

IGOSS TOGA-TAO.cdf ssta: sea surface temperature anomaly data

ssta sea surface temperature anomaly 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: 4.1999998
CI: 0.25
colorscalename: sstacolorscale
CS: -4.1999998
datatype: realarraytype
epic_code: 20
FORTRAN_format: f10.2
generic_name: temp
maxncolor: 254
missing_value: 1.00000004E35
scale_max: 4.1999998
scale_min: -4.1999998
units: C
standard units*: ampere 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
IGOSS TOGA-TAO.cdf ssta 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