data: root mean sq $integral dY$ [ NextGen CPT Estacional CPC Guatemala ExtraVars PoM ]

served from 45.183.221.150

root mean sq ∫dY [ NextGen CPT Estacional CPC Guatemala ExtraVars PoM ] : Porcentaje de Mediana data

root mean sq ∫dY [ NextGen CPT Estacional CPC Guatemala ExtraVars PoM ] .

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
percentile: grid: /percentile (unitless) ordered [ (0.5)] :grid
Latitude (latitude): grid: /Y (degree_north) ordered (12.5N) to (18.5N) by 1.0 N= 7 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

prcp_anomaly_25max500_colors2_percentmedian

CS

null

datatype

doublearraytype

file_missing_value

-999.0

fnname

maskge

maxncolor

254

missing_value

NaN

pointwidth

units

0.000174532925199433 radian north

history

root mean sq $integral dY$ [ NextGen CPT Estacional CPC Guatemala ExtraVars PoM ]

percentiles computed over S2:16 Dec 1982 - 15 Dec 2009 0% min data present
Averaged over X[92.5W, 87.5W] S[0000 1 Jan 2019, 0000 1 Jan 2021] minimum 0.0% data present

Last updated: Fri, 05 Nov 2021 18:02:01 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

	L	percentile	Y
root mean sq $integral dY$ [ NextGen CPT Estacional CPC Guatemala ExtraVars PoM ] 0.5 2.5 months[ Y percentile L \|]	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 Y
Differentiate along Y
Take differences along Y