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root mean sq [ ∂Y ( ENACTS version0 monthly temperature tmin ) climatology ]: ∂Y Minimum Temperature data
monthly temperature tmin partial_Y partial_Y ∂Y Minimum Temperature from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Longitude
- grid: /X (degree_east) ordered (21E) to (52E) by 0.05 N= 621 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (11.975S) to (22.175N) by 0.05 N= 684 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- correlation_decay_distance
- 1200.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- air_temperature
- units
- 57.2957795130823 degree_Kelvin radian-1 north
- history
- $partialdiff sub Y$ [ ENACTS version0 monthly temperature tmin ]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
X regridded on UEA CRU TS3p21 monthly tmn
Y regridded on UEA CRU TS3p21 monthly tmn
$partialdiff sub Y$ [ ENACTS version0 monthly temperature tmin ] climatology- Averaged over T2[1981, 2012] minimum 0.0% data present
root mean sq [ $partialdiff sub Y$ ( ENACTS version0 monthly temperature tmin ) climatology ]- Averaged over T[Jan, Dec] 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
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 root mean sq [ $partialdiff sub Y$ ( ENACTS version0 monthly temperature tmin ) climatology ][ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units