data: NextGen CPT 0p1 Guatemala REALTIME Models CanSIPS-IC3 History CrossValHind

NextGen CPT 0p1 Guatemala REALTIME Models CanSIPS-IC3 History CrossValHind: Procentaje de la mediana data

CrossValHind Procentaje de la mediana from NextGen CPT 0p1 Guatemala REALTIME Models CanSIPS-IC3 History: Predictand, Hindcast and Skill.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S: grid: /S (days since 1960-01-01) ordered [ (0000 1 Jan 1983) (0000 1 Feb 1983) (0000 1 Mar 1983) ... (0000 1 Dec 2009)] N= 324 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (4.95S) to (39.95N) by 0.1 N= 450 pts :grid

Other Info

CE: 16
colorscalename: precip_colors
CS: 0
datatype: realarraytype
maxncolor: 254
missing_value: -999.0
scale_max: 16.0
scale_min: 0.0
units: mm /dia
standard units*: mm /dia
colorscale

Last updated: Sun, 23 Jul 2023 21:59:34 GMT

Data Views

	L	S	X	Y
NextGen CPT 0p1 Guatemala REALTIME[NextGen Models ]
NextGen CPT 0p1 Guatemala REALTIME Models CanSIPS-IC3 History CrossValHind 2.5 months[ S \| X Y L]	M	M	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 S X Y
Differentiate along S X Y
Take differences along S X Y