mean ∂X [ UEA CRU TS2p1 monthly mean temp anomalies ] : ∂X temperature data
monthly mean temp temp partial_X
∂X temperature from UEA CRU TS2p1: Mean surface climate data over global land areas, including tercile and percentile data.
Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2002) by 1.0 N= 1224 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- units
- 57.2957795130823 degree_Kelvin radian-1 east
- history
- mean $partialdiff sub X$ [ UEA CRU TS2p1 monthly mean temp anomalies ]
- Averaged over T2[1901, 2002] minimum 0.0% data present
Averaged over X[179.75E, 179.75E] minimum 0.0% data present
References
Mitchell, T. D., P. D. Jones. An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol. 25, 2005
Last updated: Tue, 15 Aug 2017 14:04:01 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 Y
T
- Differentiate along Y
T
- Take differences along Y
T
Average over
Y
T
|
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