min ∂T ∫dT [ ENACTS version0 monthly climatologies tmean ] : ∂T Mean Temperature 1981-2010 average data
monthly climatologies tmean int_dT partial_T
∂T 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 (12S) to (22.2N) by 0.05 N= 685 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
- degree_Celsius
- standard units*
- degree_Kelvin
- 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
$partialdiff sub T$ $integral dT$ [ ENACTS version0 monthly climatologies tmean ] - Averaged over T2[1981, 2010] minimum 0.0% data present
min $partialdiff sub T$ $integral dT$ [ ENACTS version0 monthly climatologies tmean ] - min over T[Jan 1960, Dec 1960]
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 X
Y
- Differentiate along X
Y
- Take differences along X
Y
Average over
X
Y
|
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