data: max [ UEA CRU TS2p1 monthly mean temp anomalies ]

max [ 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.

Independent Variables (Grids)

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

degree_Celsius

standard units*

degree_Kelvin

history

max [ UEA CRU TS2p1 monthly mean temp anomalies ]

Averaged over T2[1901, 2002] minimum 0.0% data present
max over X[179.75W, 179.75E] T[Jan 1901, Dec 2002]

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

	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
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
max [ UEA CRU TS2p1 monthly mean temp anomalies ][ Y \|]	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 Y
Differentiate along Y
Take differences along Y