served from IRI/LDEO Climate Data Library
WEARE MONTHLY vta climatology: air temperature variance data
MONTHLY vta air temperature variance from WEARE: Marine climate atlas of the tropical Pacific Ocean.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (112.5E) to (72.5W) by 5.0 N= 36 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (37.5S) to (27.5N) by 5.0 N= 14 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- unitless
- history
- WEARE MONTHLY vta climatology
- Weare averaged surface data
Averaged over T2[1957, 1976] minimum 0.0% data present
- Weare averaged surface data
References
Weare_etal1980Weare_etal1981
Last updated: Mon, 12 Sep 2016 21:13:53 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| T | X | Y | |
 WEARE MONTHLY vta climatology[ Y X T |] | 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 Y X T
- Differentiate along Y X T
- Take differences along Y X T
RMS (root mean square with mean *not* removed) over Y X T | Y X Y T X T | Y X T |
RMSA (root mean square with mean removed) over Y X T | Y X Y T X T | Y X T |
Maximum over Y X T | Y X Y T X T | Y X T |
Minimum over Y X T | Y X Y T X T | Y X T |
Detrend (best-fit-line) over Y X T | Y X Y T X T | Y X T |
Note on units