UEA CRU Global prcp anomalies: 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 (Jan 1900) to (Dec 1996) by 1.0 N= 1164 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

CE
null
CS
null
datatype
realarraytype
file_missing_value
-999.0
missing_value
NaN
units
mm /month
standard units*
0.012 meter year-1
history
UEA CRU Global prcp
CRU Gridded Global Precip Dataset 3.75x2.5
UEA CRU Global prcp climatology
CRU Gridded Global Precip Dataset 3.75x2.5
Averaged over T2[1900, 1996] minimum 0.0% data present

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

TXY
[ X Y | T]MMM


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. Average over X Y T | X Y X T Y T | 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 |
Convert units from mm/month to

Note on units