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root mean sq anom [ UEA CRU TS2p1 monthly mean temp anomalies ]: temperature data
monthly mean temp temp temperature from UEA CRU TS2p1: Mean surface climate data over global land areas, including tercile and percentile data. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- root mean sq anom [ UEA CRU TS2p1 monthly mean temp anomalies ]
- Averaged over T2[1901, 2002] minimum 0.0% data present
Averaged over X[179.75W, 179.75E] Y[89.75S, 89.75N] T[Jan 1901, 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
 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 |
| grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid |
| grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2002) by 1.0 N= 1224 pts :grid |
 root mean sq anom [ UEA CRU TS2p1 monthly mean temp anomalies ][ |] |
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units