data: root mean sq anom [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ]

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root mean sq anom [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ]: Anomalía data

root mean sq anom [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ].

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S: grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2019) to (0000 1 Jan 2021) by 1.0 N= 25 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (13N) to (18N) by 1.0 N= 6 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

prcp_anomaly

CS

null

datatype

doublearraytype

file_missing_value

-999.0

maxncolor

254

missing_value

NaN

pointwidth

units

standard units*

0.001 meter

history

root mean sq anom [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ]

Averaged over S2[16 Dec 1982 - 15 Dec 1983, 16 Dec 2008 - 15 Dec 2009] minimum 0.0% data present
Averaged over X[92W, 88W] 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	S	Y
root mean sq anom [ NextGen CPT Estacional CPC Guatemala ExtraVars Anomaly ] 2.5 months[ Y \| L S]	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 S
Differentiate along Y S
Take differences along Y S

Average over Y S | Y S |
RMS (root mean square with mean *not* removed) over Y S | Y S |
RMSA (root mean square with mean removed) over Y S | Y S |
Maximum over Y S | Y S |
Minimum over Y S | Y S |
Detrend (best-fit-line) over Y S | Y S |

Note on units