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∂Y mean [ ENACTS version0 monthly temperature tmean ] : ∂Y Mean Temperature data
monthly temperature tmean tmean ∂Y Mean Temperature from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Latitude
- grid: /Y (degree_north) ordered (11.975S) to (22.175N) by 0.05 N= 684 pts :grid
Other Info
- CE
- null
- correlation_decay_distance
- 1200.0
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- air_temperature
- units
- 57.2957795130823 degree_Kelvin radian-1 north
- 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
$partialdiff sub Y$ mean [ ENACTS version0 monthly temperature tmean ]- Averaged over X[20.975E, 52.025E] T[Jan 1981, Dec 2012] minimum 0.0% data present
- 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
line plots
color bars
scatter| Y | |
 grid: /Y (degree_north) ordered (11.975S) to (22.175N) by 0.05 N= 684 pts :grid | M |
|---|---|
 $partialdiff sub Y$ mean [ ENACTS version0 monthly temperature tmean ] [ Y |] | 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
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units