data: min [ $integral dT$ ( UEA CRU TS3p21 monthly frs ) anomalies ]

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min [ ∫dT ( UEA CRU TS3p21 monthly frs ) anomalies ]: ground frost frequency data

min [ ∫dT ( UEA CRU TS3p21 monthly frs ) anomalies ].

Independent Variables (Grids)

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

Other Info

bufferwordsize

CE

null

correlation_decay_distance

750.0

CS

null

datatype

doublearraytype

file_missing_value

9.96920997E36

maxncolor

254

missing_value

NaN

pointwidth

units

7200 second year

history

$integral dT$ [ UEA CRU TS3p21 monthly frs ]
Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for

$integral dT$ [ UEA CRU TS3p21 monthly frs ] climatology

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T2[16 Dec 1900 - 15 Dec 1901, 16 Dec 2011 - 15 Dec 2012] minimum 0.0% data present

min [ $integral dT$ ( UEA CRU TS3p21 monthly frs ) anomalies ]

min over Y[89.75S, 89.75N] T[0000 1 Jan 1901, 0000 1 Jan 2013]

References

Harris_etal2013

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

Data Views

	X
min [ $integral dT$ ( UEA CRU TS3p21 monthly frs ) anomalies ][ 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