data: $partialdiff sub T$ root mean sq $integral dX$ [ UEA CRU TS2p1 monthly vap ]

∂_T root mean sq ∫dX [ UEA CRU TS2p1 monthly vap ] : ∂_T vapor pressure data

monthly vap int_dX int_dX ∂_T 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 (16 Jan 1901 - 15 Feb 1901) to (16 Nov 2002 - 15 Dec 2002) by 1.0 N= 1223 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
missing_value: NaN
units: 20.943951023932 kilogram meter^-1 radian east second^-2 year^-1
history: Averaged over X[180W, 180] minimum 0.0% data present

References

Redland error: BDB V4.1+ open of '/local/datalib/tmp/referencelist-sp2o.db' failed - No such file or directory

Last updated: Tue, 24 Apr 2018 19:27:11 GMT

Data Views

	T	Y
$partialdiff sub T$ root mean sq $integral dX$ [ UEA CRU TS2p1 monthly vap ] [ Y \| 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 Y T
Differentiate along Y T
Take differences along Y T

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

Note on units