data: max [ UEA CRU TS2p1 monthly vap ]

max [ UEA CRU TS2p1 monthly vap ]: vapor pressure data

monthly vap vap vapor pressure 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
Longitude (longitude): grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid

Other Info

datatype: realarraytype
missing_value: NaN
units: hPa
standard units*: 100 kilogram meter^-1 second^-2
history: max over Y[89.5S, 89.5N]

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
grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid		M
grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2002) by 1.0 N= 1224 pts :grid	M
max [ UEA CRU TS2p1 monthly vap ][ X \| T]	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 T
Differentiate along X T
Take differences along X T

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

Note on units