data: $integral dX$ $integral dS$ [ NextGen CPT Estacional CPC Guatemala ExtraVars PoM ]

served from 45.183.221.150

∫dX ∫dS [ NextGen CPT Estacional CPC Guatemala ExtraVars PoM ] : Porcentaje de Mediana data

∫dX ∫dS [ 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
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 16 Dec 2018) to (0000 16 Jan 2021) by 1.0 N= 26 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (92.5W) to (87.5W) by 1.0 N= 6 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (13N) to (18N) by 1.0 N= 6 pts :grid

Other Info

bufferwordsize: 8
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: 0
units: 1.45444104332861×10^-05 radian east year
history: percentiles computed over S2:16 Dec 1982 - 15 Dec 2009 0% min 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	S	X	Y
$integral dX$ $integral dS$ [ NextGen CPT Estacional CPC Guatemala ExtraVars PoM ] 0.5 2.5 months[ X Y \| percentile L S]	M	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 X Y S
Differentiate along X Y S
Take differences along X Y S