served from IRI/LDEO Climate Data Library
∂X [ UEA CRU Jones CRUTEM4p2p0p0 sampling_error ]: ∂X Sampling Error data
sampling_error ∂X Sampling Error from UEA CRU Jones CRUTEM4p2p0p0: Land air temperature anomalies.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1850) to (Jul 2014) by 1.0 N= 1975 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (180W) to (175E) by 5.0 N= 72 pts :grid
- latitude (latitude)
- grid: /Y (degree_north) ordered (87.5S) to (87.5N) by 5.0 N= 36 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- -1.00000002E30
- missing_value
- NaN
- reference_period
- [ 1961 1990 ]
- units
- 57.2957795130823 degree_Kelvin radian-1 east
References
Jones_etal2012Brohan_etal2006
Last updated: Mon, 16 Feb 2015 21:51:22 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub X$ [ UEA CRU Jones CRUTEM4p2p0p0 sampling_error ][ X Y | T] | M | M | M |
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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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units