data: root mean sq anom [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-Bash History CrossValHind ]

root mean sq anom [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-Bash History CrossValHind ]: Procentaje de la mediana data

CrossValHind Procentaje de la mediana from NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-Bash History: Predictand, Hindcast and Skill.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Longitud (longitude): grid: /X (degree_east) ordered (94W) to (87W) by 1.0 N= 8 pts :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] Y[12N, 19N] minimum 0.0% data present

Last updated: Thu, 13 Aug 2020 16:19:34 GMT

Data Views

	L	X
root mean sq anom [ NextGen CPT Estacional CPC Guatemala NCEP-CFSv2-Bash History CrossValHind ] 2.5 months[ X \| L]	M	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