root mean sq ∂Y [ ENACTS version0 monthly climatologies tmin ] : ∂Y Minimum Temperature 1981-2010 average data
monthly climatologies tmin tmin partial_Y partial_Y
∂Y Minimum Temperature 1981-2010 average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (Jan 1960) (Feb 1960) (Mar 1960) (Apr 1960) (May 1960) (Jun 1960) (Jul 1960) (Aug 1960) (Sep 1960) (Oct 1960) (Nov 1960) (Dec 1960)] :grid
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
root mean sq $partialdiff sub Y$ [ ENACTS version0 monthly climatologies tmin ] - Averaged over X[21E, 52E] Y[12S, 22.2N] minimum 0.0% data present
Last updated: Fri, 26 Jul 2024 12:21:16 GMT
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 T
- Differentiate along T
- Take differences along T
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units