served from IRI/LDEO Climate Data Library
∂T [ IGOSS sio coastal wv climatology ]: ∂T meridional wind velocity data
coastal wv wv ∂T 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 01-Jan) periodic (16 Dec - 15 Jan) to (16 Nov - 15 Dec) by 1.0 N= 12 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 999999
- missing_value
- NaN
- units
- 12 meter second-1 year-1
- history
- Averaged over T2[1993, 1995] minimum 0.0% data present
Last updated: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| D | STA | T | |
 $partialdiff sub T$ [ IGOSS sio coastal wv climatology ] 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
RMS (root mean square with mean *not* removed) over T STA | T STA |
RMSA (root mean square with mean removed) over T STA | T STA |
Maximum over T STA | T STA |
Minimum over T STA | T STA |
Detrend (best-fit-line) over T STA | T STA |
Note on units