data: $integral dT$ [ UEA CRU Global prcp ]

served from IRI/LDEO Climate Data Library

∫dT [ UEA CRU Global prcp ]: Precipitation data

prcp Precipitation from UEA CRU Global: Historical monthly precipitation dataset for global land areas.

Independent Variables (Grids)

Time: grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1900) to (0000 1 Jan 1997) by 1.0 N= 1165 pts :grid
longitude: grid: /X (degree_east) periodic (180W) to (176.25E) by 3.75 N= 96 pts :grid
latitude: grid: /Y (degree_north) ordered (87.5S) to (87.5N) by 2.5 N= 71 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
units: mm
standard units*: 0.001 meter
history: CRU Gridded Global Precip Dataset 3.75x2.5

References

Hulme,M. (1992) A 1951-80 global land precipitation climatology for the evaluation of General Circulation Models Climate Dynamics, 7, 57-72

Hulme,M. (1994) Validation of large-scale precipitation fields in General Circulation Models pp.387-406 in, Global precipitations and climate change (eds.) Desbois,M. and Desalmand,F., NATO ASI Series, Springer-Verlag, Berlin, 466pp.

Last updated: Mon, 12 Sep 2016 21:11:40 GMT

Data Views

	T	X	Y
$integral dT$ [ UEA CRU Global prcp ][ 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