data: $partialdiff sub T$ detrended-bfl [ UEA CRU New CRU05 monthly vap ]

served from IRI/LDEO Climate Data Library

∂_T detrended-bfl [ UEA CRU New CRU05 monthly vap ] : ∂_T vapor pressure data

CRU05 monthly vap vap adif ∂_T vapor pressure from UEA CRU New: 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 (16 Jan 1901 - 15 Feb 1901) to (16 Nov 1995 - 15 Dec 1995) by 1.0 N= 1139 pts :grid
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 (89.5S) to (89.5N) by 0.5 N= 359 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
file_missing_value: -999.90002
missing_value: NaN
units: 1200 kilogram meter^-1 second^-2 year^-1

References

Mark New, Mike Hulme, and Phil Jones, Representing Twentieth-Century Space–Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology,Journal of Climate: Vol. 12, No. 3, pp. 829–856.

Last updated: Mon, 12 Sep 2016 21:33:43 GMT

Data Views

	T	X	Y
$partialdiff sub T$ detrended-bfl [ UEA CRU New CRU05 monthly vap ] [ 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