served from IRI/LDEO Climate Data Library
WEARE MONTHLY tair anomalies: air temperature data
MONTHLY tair air temperature from WEARE: Marine climate atlas of the tropical Pacific Ocean.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1957) to (Dec 1976) by 1.0 N= 240 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
- file_missing_value
- 1.00000002E30
- missing_value
- NaN
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- WEARE MONTHLY tair
Weare averaged surface data
- WEARE MONTHLY tair climatology
- Weare averaged surface data
Averaged over T2[1957, 1976] minimum 0.0% data present
- Weare averaged surface data
- WEARE MONTHLY tair
References
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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| T | X | Y | |
 WEARE MONTHLY tair anomalies[ 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