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root mean sq anom [ ENACTS version0 monthly climatologies tmin ]: Minimum Temperature 1981-2010 average data
monthly climatologies tmin Minimum Temperature 1981-2010 average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (12S) to (22.2N) by 0.05 N= 685 pts :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
- Celsius_scale
- standard units*
- degree_Kelvin above 273.15
- 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
ENACTS version0 monthly climatologies tmin- Averaged over T2[1981, 2010] minimum 0.0% data present
root mean sq anom [ ENACTS version0 monthly climatologies tmin ]- Averaged over X[21E, 52E] 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
line plots
color bars| T | Y | |
 ENACTS version0 monthly climatologies[tmean
tmin
tmax
rfe
] | ||
| grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid | ||
| grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid | O=0.02499847 | |
| grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid | M | |
| root mean sq [ ENACTS version0 monthly climatologies rfe ][ Y T |] | M | O=0.02499847 |
 root mean sq anom [ ENACTS version0 monthly climatologies tmin ][ Y T |] | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units