data: root mean sq $integral dT$ $partialdiff sub X$ [ ENACTS version0 monthly temperature tmean ]

root mean sq ∫dT ∂_X [ ENACTS version0 monthly temperature tmean ] : ∂_X Mean Temperature data

monthly temperature tmean partial_X int_dT ∂_X Mean Temperature from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

Longitude: grid: /X (degree_east) ordered (21.025E) to (51.975E) by 0.05 N= 620 pts :grid

Other Info

bufferwordsize

CE

null

correlation_decay_distance

1200.0

CS

null

datatype

doublearraytype

file_missing_value

9.96920997E36

missing_value

NaN

pointwidth

standard_name

air_temperature

units

4.77464829275686 degree_Kelvin radian^-1 east year

history

$integral dT$ $partialdiff sub X$ [ ENACTS version0 monthly temperature tmean ]

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
X regridded on UEA CRU TS3p21 monthly tmp
Y regridded on UEA CRU TS3p21 monthly tmp

root mean sq $integral dT$ $partialdiff sub X$ [ ENACTS version0 monthly temperature tmean ]

Averaged over Y[12.025S, 22.225N] T[0000 1 Jan 1981, 0000 1 Jan 2013] minimum 0.0% data present

Last updated: Fri, 26 Jul 2024 12:21:16 GMT

Data Views

	X
root mean sq $integral dT$ $partialdiff sub X$ [ ENACTS version0 monthly temperature tmean ] [ X \|]	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
Differentiate along X
Take differences along X

root mean sq ∫dT ∂X [ ENACTS version0 monthly temperature tmean ] : ∂X Mean Temperature data

Independent Variables (Grids)

Other Info

Data Views

Filters

root mean sq ∫dT ∂_X [ ENACTS version0 monthly temperature tmean ] : ∂_X Mean Temperature data