data: root mean sq $partialdiff sub Y$ detrended-bfl [ UEA CRU TS3p21 monthly wet ]

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root mean sq ∂_Y detrended-bfl [ UEA CRU TS3p21 monthly wet ] : ∂_Y wet day frequency data

root mean sq ∂_Y detrended-bfl [ UEA CRU TS3p21 monthly wet ] .

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid

Other Info

bufferwordsize

CE

null

correlation_decay_distance

450.0

CS

null

datatype

doublearraytype

file_missing_value

9.96920997E36

maxncolor

254

missing_value

NaN

pointwidth

standard_name

number_of_days_with_lwe_thickness_of_precipitation_amount_above_threshold

units

4950355.34993031 radian^-1 north second

history

root mean sq $partialdiff sub Y$ detrended-bfl [ UEA CRU TS3p21 monthly wet ]

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over X[180W, 180] T[Jan 1901, Dec 2012] minimum 0.0% data present

References

Harris_etal2013

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

Data Views

	Y
root mean sq $partialdiff sub Y$ detrended-bfl [ UEA CRU TS3p21 monthly wet ] [ Y \|]	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
Differentiate along Y
Take differences along Y