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root mean sq ∫dT [ ENACTS version0 monthly climatologies tmean ] : Mean Temperature 1981-2010 average data
monthly climatologies tmean int_dT int_dT Mean Temperature 1981-2010 average 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
- CE
- null
- colorscalename
- temp_colors
- correlation_decay_distance
- 1200.0
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 9.96920997E36
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- air_temperature
- units
- 0.0833333333333333 degree_Kelvin year
- 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
$integral dT$ [ ENACTS version0 monthly climatologies tmean ]- Averaged over T2[1981, 2010] minimum 0.0% data present
root mean sq $integral dT$ [ ENACTS version0 monthly climatologies tmean ]- Averaged over T[0000 1 Jan 1960, 0000 1 Jan 1961] 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 | |
 grid: /X (degree_east) ordered (21E) to (52E) by 0.05 N= 621 pts :grid | M | |
|---|---|---|
| grid: /Y (degree_north) ordered (11.975S) to (22.175N) by 0.05 N= 684 pts :grid | M | |
 root mean sq $integral dT$ [ ENACTS version0 monthly climatologies tmean ] [ 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