data: $integral dT$ [ IGOSS sio coastal wv ] anomalies

served from IRI/LDEO Climate Data Library

∫dT [ IGOSS sio coastal wv ] anomalies: meridional wind velocity data

coastal wv int_dT meridional wind velocity from IGOSS sio: Climatological and monthly heat storage and mixed layer depth data from Scripps Institution of Oceanography.

Independent Variables (Grids)

D: grid: /D (character) unordered [ (wv)] :grid
Station: grid: /STA (ids) unordered [ (abmi) (anmi) (barb) (cain) (goin) (goof) (pain) (roin) (roof) (smin) (smof) (46053) (46054)] :grid
Time (time): grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1993) to (0000 1 Jan 1996) by 1.0 N= 37 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: 999999
missing_value: NaN
units: 0.0833333333333333 meter second^-1 year
history: Averaged over T2[16 Dec 1992 - 15 Dec 1993, 16 Dec 1994 - 15 Dec 1995] minimum 0.0% data present

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	D	STA	T
$integral dT$ [ IGOSS sio coastal wv ] anomalies wv[ D T STA \|]	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 T STA
Differentiate along T STA
Take differences along T STA