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ENACTS version0 monthly temperature tmean: Mean Temperature data
monthly temperature Mean Temperature from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Dec 2012) by 1.0 N= 384 pts :grid
- Longitude
- grid: /X (degree_east) ordered (21E) to (52E) by 0.05 N= 621 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (12S) to (22.2N) by 0.05 N= 685 pts :grid
Other Info
- correlation_decay_distance
- 1200.0
- datatype
- realarraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- air_temperature
- units
- Celsius_scale
- standard units*
- degree_Kelvin above 273.15
- history
- ENACTS version0 monthly temperature tmean
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
X regridded on UEA CRU TS3p21 monthly tmp
Y regridded on UEA CRU TS3p21 monthly tmp
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Last updated: Fri, 26 Jul 2024 12:21:16 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 ENACTS version0 monthly temperature[tmean
tmax
tmin
] | |||
| ENACTS version0 monthly temperature tmin[ X Y | T] | M | M | M |
|---|---|---|---|
| ENACTS version0 monthly temperature tmax[ X Y | T] | M | M | M |
| grid: /X (degree_east) ordered (21E) to (52E) by 0.05 N= 621 pts :grid | M | ||
| grid: /Y (degree_north) ordered (12S) to (22.2N) by 0.05 N= 685 pts :grid | M | ||
| grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Dec 2012) by 1.0 N= 384 pts :grid | M | ||
| ENACTS version0 monthly temperature tmax[ X Y | T] | M | M | M |
 ENACTS version0 monthly temperature tmean[ X Y | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units