data: UEA CRU TS2p1 monthly elev

UEA CRU TS2p1 monthly elev: elevation data

monthly elevation from UEA CRU TS2p1: Mean surface climate data over global land areas, including tercile and percentile data.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid

Other Info

datatype: realarraytype
missing_value: NaN
units: km
valid_max: 32.767002
valid_min: -32.768002
standard units*: 1000 meter

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	X	Y
UEA CRU TS2p1 monthly[mean minimum maximum vap elev prcp ]
UEA CRU TS2p1 monthly elev[ X Y \|]		M	M
grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid		M
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	M
UEA CRU TS2p1 monthly prcp[ X Y \| T]	M	M	M
UEA CRU TS2p1 monthly prcp[ X Y \| T]	M	M	M
UEA CRU TS2p1 monthly elev[ X Y \|]		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
Differentiate along X Y
Take differences along X Y

Average over X Y | X Y |
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |

Note on units