data: root mean sq anom root mean sq $integral dY$ [ UEA CRU TS2p1 monthly mean temp ]

root mean sq anom root mean sq ∫dY [ UEA CRU TS2p1 monthly mean temp ] : temperature data

monthly mean temp int_dY int_dY 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

Other Info

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missing_value

NaN

units

0.0174532925199433 ( degree_Kelvin above 273.15 ) radian north

history

root mean sq anom root mean sq $integral dY$ [ UEA CRU TS2p1 monthly mean temp ]

Averaged over Y[90S, 90N] minimum 0.0% data present
Averaged over X[179.75W, 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

Data Views

	T
UEA CRU TS2p1 monthly[vap elev prcp mean minimum maximum ]
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	M
root mean sq anom root mean sq $integral dY$ [ UEA CRU TS2p1 monthly mean temp ] [ \| T]	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 T
Differentiate along T
Take differences along T