served from IRI/LDEO Climate Data Library
detrended-bfl ∂X [ IGOSS TOGA-TAO.cdf ua ] : ∂X zonal wind anomaly data
ua partial_X ∂X zonal 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 (Jan 1977) to (Oct 2014) by 1.0 N= 454 pts :grid
- Longitude
- grid: /X (degree_east) ordered [ (133.5E) (140E) (145E) (150.5E) (154.5E) (155.5E) (157E) (159.5E) (163E) (166E) (167.5E) (169E) (175E) (178W) (173W) (163.5W) (156W) (151W) (143.5W) (138.5W) (134.5W) (128.5W) (117.5W) (102.5W)] :grid
- Latitude
- grid: /Y (degree_north) ordered [ (9S) (8S) (7S) (6S) (5S) (4S) (3S) (2S) (1S) (0) (1N) (2N) (3N) (3.5N) (5N) (6N) (7N) (8N) (9N) (10N) (11N) (12N)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 1
- CS
- null
- CSCALE
- 0.035
- datatype
- doublearraytype
- epic_code
- 422
- file_missing_value
- 1.00000004E35
- FORTRAN_format
- F9.4
- generic_name
- u
- missing_value
- NaN
- units
- 57.2957795130823 meter radian-1 east second-1
- 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: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| depth | time | X | Y | |
 detrended-bfl $partialdiff sub X$ [ IGOSS TOGA-TAO.cdf ua ] 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