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root mean sq [ ENACTS version0 monthly climatologies tmax ]: Maximum Temperature climatology 1981-2010 average data
monthly climatologies tmax tmax Maximum Temperature climatology 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
- 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
- Conventions
- COARDS
- 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 tmax
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
X regridded on UEA CRU TS3p21 monthly tmx
Y regridded on UEA CRU TS3p21 monthly tmx
ENACTS version0 monthly climatologies tmax- Averaged over T2[1981, 2010] minimum 0.0% data present
root mean sq [ ENACTS version0 monthly climatologies tmax ]- Averaged over X[20.975E, 52.025E] 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
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