served from IRI/LDEO Climate Data Library
∫dT [ WEARE CLIMO vqh ]: specific humidity variance data
CLIMO vqh specific humidity variance from WEARE: Marine climate atlas of the tropical Pacific Ocean.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1960) to (0000 1 Jan 1961) by 1.0 N= 13 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
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- months
- standard units*
- 0.0833333333333333 year
- history
- Weare monthly surface data climatology 1957-1976
References
Weare_etal1980Weare_etal1981
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
line plots
color bars| T | X | Y | |
 $integral dT$ [ WEARE CLIMO vqh ][ 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