data: root mean sq [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 History InputObs ]

root mean sq [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 History InputObs ]: input observations data

InputObs input observations from NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 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
CE: null
colorscalename: precip_colors
CS: null
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: mm /dia
standard units*: mm /dia
history: Averaged over S[0000 1 Jan 1983, 0000 1 Dec 2009] X[94.5W, 86.5W] Y[11.5N, 19.5N] minimum 0.0% data present

Last updated: Fri, 10 Apr 2020 20:38:32 GMT

Data Views

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root mean sq [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 History InputObs ] 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