data: root mean sq anom $integral dS$ [ NextGen CPT Estacional CPC Guatemala GFDL-CM2p5-FLOR-B01 History hindcast

root mean sq anom ∫dS [ NextGen CPT Estacional CPC Guatemala GFDL-CM2p5-FLOR-B01 History hindcast_date ] : hindcast time data

hindcast_date int_dS hindcast time from NextGen CPT Estacional CPC Guatemala GFDL-CM2p5-FLOR-B01 History: Predictand, Hindcast and Skill. is

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
gridid: 184119264
pointwidth: 3
scale_max: null
scale_min: null
units: 0.00694444444444444 ( year above 2000 ) year
history: Averaged over S[0000 16 Dec 1982, 0000 16 Dec 2009]

Last updated: Fri, 10 Apr 2020 20:38:42 GMT

Data Views

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root mean sq anom $integral dS$ [ NextGen CPT Estacional CPC Guatemala GFDL-CM2p5-FLOR-B01 History hindcast_date ] 2.5 months[ L \|]	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
Differentiate along
Take differences along

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

Note on units