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mean mean ∂Y [ ENACTS version0 monthly climatologies tmin ] : ∂Y Minimum Temperature 1981-2010 average data
monthly climatologies tmin partial_Y partial_Y ∂Y Minimum Temperature 1981-2010 average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- temp_colors
- correlation_decay_distance
- 1200.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- air_temperature
- units
- 57.2957795130823 degree_Kelvin radian-1 north
- history
- 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 climatologies tmin ]- Averaged over T2[1981, 2010] minimum 0.0% data present
mean $partialdiff sub Y$ [ ENACTS version0 monthly climatologies tmin ]- Averaged over T[Jan, Dec] minimum 0.0% data present
mean mean $partialdiff sub Y$ [ ENACTS version0 monthly climatologies tmin ]- Averaged over X[20.975E, 52.025E] Y[12S, 22.2N] 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
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units