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∫dT [ UEA CRU TS2p1 monthly mean temp anomalies ] climatology: temperature data
monthly mean temp temp int_dT 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 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- units
- 0.0833333333333333 degree_Kelvin year
- history
- $integral dT$ [ UEA CRU TS2p1 monthly mean temp anomalies ] climatology
- Averaged over T2[1901, 2002] minimum 0.0% data present
Averaged over T2[16 Dec 1900 - 15 Dec 1901, 16 Dec 2001 - 15 Dec 2002] minimum 0.0% data present
- Averaged over T2[1901, 2002] 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
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 UEA CRU TS2p1 monthly[maximum
minimum
prcp
mean
vap
elev
] | |||
| grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid | M | ||
|---|---|---|---|
| grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid | M | ||
| grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2002) by 1.0 N= 1224 pts :grid | O=0.5 | ||
 $integral dT$ [ UEA CRU TS2p1 monthly mean temp anomalies ] climatology[ X Y T |] | M | 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 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