served from IRI/LDEO Climate Data Library
∫dtime ∫dY [ IGOSS TOGA-TAO.cdf va ] : meridional wind anomaly data
va int_dY meridional wind 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 (0000 1 Jan 1977) to (0000 1 Nov 2014) by 1.0 N= 455 pts :grid
- Longitude
- grid: /X (degree_east) ordered [ (130E) (137E) (143E) (147E) (154E) (155E) (156E) (158E) (161E) (165E) (167E) (168E) (170E) (180) (176W) (170W) (157W) (155W) (147W) (140W) (137W) (132W) (125W) (110W) (95W)] :grid
- Latitude
- grid: /Y (degree_north) ordered [ (9.5S) (8.5S) (7.5S) (6.5S) (5.5S) (4.5S) (3.5S) (2.5S) (1.5S) (0.5S) (0.5N) (1.5N) (2.5N) (3.25N) (4.25N) (5.5N) (6.5N) (7.5N) (8.5N) (9.5N) (10.5N) (11.5N) (12.5N)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 1
- CS
- null
- CSCALE
- 0.035
- datatype
- doublearraytype
- epic_code
- 423
- file_missing_value
- 1.00000004E35
- FORTRAN_format
- F9.4
- generic_name
- v
- missing_value
- NaN
- units
- 0.00145444104332861 meter radian north second-1 year
- 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)]
References
Mangum_etal1994Soreide_etal1994
Last updated: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| depth | time | X | Y | |
 $integral dtime$ $integral dY$ [ IGOSS TOGA-TAO.cdf va ] 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
RMS (root mean square with mean *not* removed) over X Y time | X Y X time Y time | X Y time |
RMSA (root mean square with mean removed) over X Y time | X Y X time Y time | X Y time |
Maximum over X Y time | X Y X time Y time | X Y time |
Minimum over X Y time | X Y X time Y time | X Y time |
Detrend (best-fit-line) over X Y time | X Y X time Y time | X Y time |
Note on units